20May

AIML – Site Reliability Engineer, ML Platform & Technology at Apple – Singapore, Singapore, Singapore


Summary

Posted: May 19, 2024

Role Number:200552108

Apple is a place where extraordinary people gather to do their best work. Together we create products and experiences people once couldn’t have envisioned — and now can’t imagine living without. If you’re excited by the idea of making an impact, joining a team where we pride ourselves in being one of the most diverse and expansive companies in the world, a career with Apple might be your dream job!

If you wish to play a part in revolutionizing how people use their computers and mobile devices; build ground breaking technology for algorithmic search, machine learning, natural language processing & artificial intelligence; and work with the teams building the most scalable big-data systems in existence. This is the role for you!

Key Qualifications

  • Skills or experience in a Site Reliability Engineering, observability or ML Ops focused role supporting internet services and distributed systems
  • Proficiency in using Go, Python or other higher-level languages for automation, observability and infrastructure management
  • Understanding of building and supporting telemetry, observability and logging solutions for incident, cost and performance management
  • Familiarity with infrastructure or dashboards as code and provisioning tools for Kubernetes and cloud based services
  • Working knowledge of open source or commercial monitoring and observability frameworks and platforms such as ELK, Splunk, OpenCensus, Datadog
  • Working knowledge of ML Ops systems and tools advantageous
  • Good interpersonal skills shown through previous projects or assignments

Description

– Monitor production, staging and development environments for a myriad of services in an agile and dynamic organization.

– Employ metrics for data driven solutions for reliability, performance and service insights

– Design, implement, and extend automation tools for monitoring, logging, ML and data processing pipelines

– Strive to improve the stability, security, efficiency and scalability of production systems by applying software engineering practices.

– Resolve future needs for capacity and investigate new features and products.

– Strong problem solving ability will be used daily; a successful Engineer will take steps on self-initiative basis to isolate issues and resolve root cause through investigative analysis.

– Responsible for writing justifications, incident reports, best practices documentation and solution specifications.

Education & Experience

Bachelor Degree in Computer Science or Computer Engineering or equivalent. Fresh Graduates with relevant industry or internship exposure are welcome to apply.



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20May

Research Engineer at Meta – Burlingame, CA


Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.Research Engineer Responsibilities

  • Develop highly scalable computer technology, such as algorithms, based on state-of-the-art areas of computer science, such as machine learning and neural network methodologies.
  • Combine broad and deep knowledge of relevant software and technology research domains along with the ability to synthesize a wide range of technical requirements to make significant contributions to Meta’s feature roadmap for its cutting edge platforms.
  • Adapt Meta technology, such as machine learning and neural network algorithms and architectures, to best exploit modem parallel environments (e.g., distributed clusters, multicore SMP, and GPU).
  • Collaborate with Research Scientists to facilitate research that enables learning the semantics of data (images, video, text, audio, and other modalities).
  • Research, design and develop new algorithms and techniques to improve the efficiency and performance of Meta’s platforms.
  • Identify potential improvements in company’s products and research and present effects of current engineering efforts on Meta’s market standing.
  • Apply knowledge of relevant research domains along with expert coding skills to platform and framework development projects.

Minimum Qualifications

  • Requires a Master’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Analytics, Physics, or related field and four years of work experience in the job offered or in a computer-related occupation. Requires four years of experience in the following:
  • 1. Developing and debugging in C, C++, Java, Scala, or Python
  • 2. Performing research, developing an experiment, or designing a prototype in machine learning
  • 3. Machine learning and optimization
  • 4. Building systems based on machine learning or deep learning methods
  • 5. Using frameworks like PyTorch, Caffee2, Tensorflow, Theano, Keras, or Chainer
  • 6. Storage systems, distributed systems, HPC, compilers, CUDA programming, file systems, or server architectures
  • 7. Parallel modem environments (distributed clusters, multicore SMP, or GPU).

LocationsAbout Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to

ac****************@fb.com











. US$222,235/year to US$240,240/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.



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19May

Staff IT Data Engineer at Palo Alto Networks – Santa Clara, CA, United States


Company Description

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.

Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Our Approach to Work

We lead with flexibility and choice in all of our people programs. We have disrupted the traditional view that all employees have the same needs and wants. We offer personalization and offer our employees the opportunity to choose what works best for them as often as possible – from your wellbeing support to your growth and development, and beyond!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work from the office three days per week, leaving two days for choice and flexibility to work where you feel most effective. This setup fosters casual conversations, problem-solving, and trusted relationships. While details may evolve, our goal is to create an environment where innovation thrives, with office-based teams coming together three days a week to collaborate and thrive, together!

Job Description

Your Career

The Palo Alto Networks IT department is now a full-fledged engineering organization. Equipped with a full team of Data Engineers, Data Scientists, and next-generation Data Visualization technologies. Together we are building the ‘Predictive Enterprise’, an infrastructure that will allow Palo Alto Networks the ability to make the best and fastest business decisions based on all data available. The growth of this team includes the addition of a Data Engineer who is tasked with crafting and implementing integrations using state-of-the-art Cloud technologies.

Your Impact

  • As a Data Engineer, you’ll play a crucial role in our Data & Analytics team, tasked with crafting and implementing integrations using state-of-the-art Cloud technologies
  • Embrace Disruption – Take bold risks in delivering real-time data and insights to executives through innovative methods
  • Foster Collaboration with “Work together, win together” – ability to engage with cross-functional teams to deliver key data and insights, fostering a culture of teamwork and shared success
  • Focus on Execution – Execute “Strive tirelessly for simplicity and usability” – Dedicate efforts to creating data models that prioritize simplicity and usability, ensuring scalability for future needs
  • Drive Business Value – Develop certified and scalable data models that offer the highest business value, enabling actionable insights
  • Conduct In-depth Analysis – Utilize deep data analysis techniques to uncover actionable insights from data models
  • Embrace Challenges – Tackle complex data engineering and design tasks that push your skills to new heights
  • As a team player, work closely with data analysts, product owners, and data scientists to understand requirements and overcome challenges collaboratively
  • Embrace Learning – Stay agile and adept at adapting new data engineering technologies and methodologies

Qualifications

Your Experience 

  • 10+ years of experience with data and analytics 
  • Expert level in writing optimized SQL code
  • Advanced proficiency in Python for constructing integrations within GCP DataProc clusters
  • Should have worked on the Marketing/Sales domain and built data models eg. Lead Scoring, Contact enrichment, GDPR processes, bookings, pipeline, etc. 
  • Able to explain the business process and how analytics supported both strategic & operational requirements
  • Experience required in building ETL using data from Big Query
  • Familiarity with GCP services, preferably having supported deployments on one or more of GCP services
  • Experience in Managing code using Github 
  • Should have worked in agile(scrum) development methodology
  • Strong development/automation skills
  • Working knowledge with Tableau is preferred
  • Can-do attitude on solving complex business problems, good interpersonal and teamwork skills
  • Must be located within SF Bay area Candidates to be in office 3 days/ week

Additional Information

The Team

Working at a high-tech cybersecurity company within Information Technology is a once in a lifetime opportunity. You’ll be joined with the brightest minds in technology, creating, building, and supporting tools that enable our global teams on the front line of defense against cyber attacks. We’re joined by one mission – but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team that feels excitement at the prospect of a challenge and feels a thrill at resolving technical gaps that inhibit productivity.

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at 

ac************@pa**************.com











.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143,500/yr to $233,200/yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Is role eligible for Immigration Sponsorship?: Yes



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19May

Staff Machine Learning Engineer, Simulation at Cruise LLC – US Remote

We’re Cruise, a self-driving service designed for the cities we love.

We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work.

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.

This role drives the various robotics aspects of the Simulation Smart Agents software stack. The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL). The Smart Agents group work closely with the rest of the Simulation, and our partners Behaviors, Perception, and Safety Engineers.

The specific duties may include streamlining optimization, integration, creating ML infrastructure and tools, pipeline development, introspection, productionalization, and designing for fast experimentation cycles.

What you’ll be doing:

  • Collaborating with various specialists to get algorithms and ML models deployed and integrated into the simulation stack, with an eye on optimization and simplification of these procedures.
  • Working on runtime optimization and architecting highly performant ML and system pipelines.
  • Create and improve data pipelines for turning real world observations into training and simulation data.
  • Help define metrics and loss functions to evaluate correctness and realism of simulation actors behavior.
  • Spotting and collaboratively closing gaps in tooling and data introspection to accelerate engineer velocity within Simulation.

What you must have:

  • 8+ years of experience in the field of robotics or latency-sensitive backend services
  • Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch
  • Experience architecting highly performant ML and system pipelines
  • Strong understanding and experience with runtime optimization
  • Strong programming skills in modern C++ or Python
  • Experience with profiling CPU and/or GPU software, process scheduling, and prioritization
  • Passionate about self-driving car technology and its impact on the world
  • Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.
  • Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.
  • Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.

Bonus points!

  • Experience with ROS, OpenCV, or Gazebo
  • Expertise with parallel training, active learning, model deployment (e.g., TensorRT conversion)
  • Experience with build systems (Bazel, Buck, Blaze or Cmake)
  • Track record in deploying perception/prediction/av models into real world environments
  • Expertise working with various sensor technologies, including Lidar, Radar, and Camera
  • Experience working with RL and sequence prediction (ML) models
  • Experience with CUDA

The salary range for this position is $183,600 – $270,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.

Why Cruise?

Our benefits are here to support the whole you:

  • Competitive salary and benefits
  • Medical / dental / vision, Life and AD&D
  • Subsidized mental health benefits
  • Paid time off and holidays
  • Paid parental, medical, family care, and military leave of absence
  • 401(k) Cruise matching program
  • Fertility benefits
  • Dependent Care Flexible Spending Account
  • Flexible Spending Account & Health Saving Account
  • Perks Wallet program for benefits/perks
  • Pre-tax Commuter benefit plan for local employees
  • CruiseFlex, our location-flexible work policy. (Learn more about CruiseFlex).

We’re Integrated

  • Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.

We’re Funded

  • GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.

Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.

Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email

**@ge*******.com











.

We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives.

Candidates applying for roles that operate and remotely operate the AV: Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required.

Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners. 

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16May

Data Engineer at 437V Gamesa Energy Transmission Sau


It takes the brightest minds to be a technology leader. It takes imagination to create green energy for the generations to come. At Siemens Gamesa we make real what matters, join our global team.

Siemens Gamesa forma parte de Siemens Energy, líder mundial en tecnología energética con un rico legado de innovación que abarca más de 150 años. Juntos, estamos comprometidos a hacer realidad la energía sostenible, confiable y asequible superando los límites de lo posible. Como actor líder en la industria eólica y fabricante de turbinas eólicas, nos apasiona impulsar la transición energética y brindar soluciones innovadoras que satisfagan la creciente demanda energética de la comunidad global. En Siemens Gamesa buscamos constantemente personas con talento para unirse a nuestro equipo y apoyar nuestro enfoque en la transformación energética.

Descubre cómo puedes marcar la diferencia en Siemens Gamesa:

Cómo contribuir a nuestra visión:

– Análisis de casos de uso e identificación de fuentes de datos.

– Análisis técnico, comparación, pilotos, pruebas de concepto y selección de tecnologías y soluciones Cloud para el almacenamiento, procesamiento, gobierno y explotación de todo tipo de datos: transaccionales, analíticos y logs.

– Definición de arquitecturas de referencia sostenibles, resilientes, seguras y a coste óptimo.

– Diseño de la plataforma para analítica de datos que sostenga datos de aplicaciones on-premise monolíticas con diversas tecnologías y microservicios en el cloud.

– Análisis de costes en el cloud, definición de estrategias de optimización y seguimiento.

– Definición de estándares de uso de datos: optimización, seguridad, anonimización, almacenamiento.

– Fomentar la cultura del dato en la empresa: promoción de nuevas tecnologías y acercamiento de la tecnología a todos los niveles de la empresa.

Diseño de modelos de datos y abstracción de modelos de negocio

Programación de ETL (extracción, transformación y de carga de datos)

Análisis de datos y creación de informes

Lo que necesitas para marcar la diferencia:

– Grado en Ingeniería Informática o estudios relacionados.

– Experiencia mínima de 3 años en puesto de Data Engineer o Data Architect, no importa el sector de actividad.

– Experiencia en gestión de grandes volúmenes de datos, Big Data.

– Interés por la industria y por añadir valor a través de los datos.

– Excelentes habilidades analíticas. Capacidad para la resolución de problemas.

– Buenas habilidades en comunicación oral y escrita.

– Inglés C1

A cambio de tu compromiso, te ofrecemos…

  • Formar parte de nuestra misión por la sostenibilidad: energía limpia para las generaciones venideras
  • Un equipo global de personas diversas que comparten la pasión por la energía renovable
  • Confianza y empoderamiento para hacer realidad tus propias ideas.
  • Desarrollo personal y profesional para crecer internamente dentro de nuestra organización.

Siemens Gamesa ofrece una amplia variedad de beneficios, como horarios de trabajo flexibles y la posibilidad de trabajar desde casa en muchos puestos, un atractivo paquete de remuneración, y beneficios locales como ayuda a la comida, descuentos para empleados/as y mucho más.

Empoderando a nuestra gente

https://www.siemensgamesa.com/sustainability/employees

¿Cómo te imaginas el futuro?

https://youtu.be/12Sm678tjuY

Nuestro equipo global está en la primera línea para abordar la crisis climática y reducir las emisiones de carbono, el mayor desafío que enfrentamos.

 Estamos convencidos que la diversidad crea más oportunidades de éxito. Por eso incorporamos talento sin importar el género, la edad, el origen étnico, la orientación sexual o la discapacidad. Nuestro principal objetivo es encontrar personas de todo el mundo que puedan contribuir a la tecnología que cambia el mundo.

Siemens Gamesa is an equal opportunity employer and maintains a work environment that is free from discrimination and where employees are treated with dignity and respect. Employment at Siemens Gamesa is based solely on an individual’s merit and qualifications, which are directly related to job competence. Siemens Gamesa does not discriminate against any employee or job applicant on the basis of race, ethnicity, nationality, ancestry, genetic information, citizenship, religion, age, gender, gender identity/expression, sexual orientation, pregnancy, marital status, disability or any other characteristic protected by applicable laws, rules or regulations. We adhere to these principles in all aspects of employment, including recruiting, hiring, training, compensation, promotion and benefits.

 

We are driven by people – from more than 100 different countries, they build the company we are every day. Our diverse and inclusive culture encourages us to think outside the box, speak without fear, and be bold. We value the flexibility that our smart-working arrangements, our digital disconnection framework and our  family-friendly practices bring to the new way of working.



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16May

Data Scientist – Arquitectura Contable y Financial


Arquitectura Contable y Financial Business Intelligence (FBI)

¿QUÉ PROYECTOS DESARROLLAMOS?

 Somos un área donde los datos juegan un papel relevante, debemos destacar la importancia de tener robustez en los procesos, con información fiable y en tiempo. Esto nos permitirá seguir proporcionando servicio, tanto a supervisores como a la alta dirección, en un alto grado de calidad.

Hemos lanzado distintas iniciativas con el área de Medios que van encaminadas a iniciar un proceso de transformación en cada uno de los ámbitos que consideramos estratégicos: Operacional – Arquitectura Contable – Datos y Usos – Herramientas de procesos y reporting.

Como equipo impulsamos la digitalización mediante la optimización de procesos, herramientas tecnológicas e implantamos nuevos métodos de trabajo mediante proyectos. Gestionamos la interlocución con el área de Medios y centralizamos el presupuesto QBR de nuestra área y sus iniciativas asociadas.

Los proyectos en los que paticiparas en la posición son:

  • Implantar proyectos de soporte en el área de Contabilidad y Reporting Legal Integrado
  • Participar en el cierre contable individual y consolidado desde un punto de vista de proceso y herramientas de Caixabank y del Grupo.
  • Dar soporte al resto del área en materia de datos y herramientas, mediante extracciones de información, generación de Cuadros de Mando (CdM) y soluciones que permitan la toma de decisión de los procesos más relevantes.
  • Implantar nuevas maneras de trabajar en el área:
    • Analizando y optimizando procesos
  • Desarrollar Proyectos de Automatización mediante Robotics | Macros
  • Generar la definición de Nuevas herramientas
  • Participar activamente en el plan de transformación del área
  • Creación de valor en proyectos de
    • Visualización avanzada mediante Qlik
    • Analítica avanzada – Modelos – Python
  • Role de facilitador en la gestión del cambio en el área



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16May

Data Scientist – Arquitectura Contable y Financial


Arquitectura Contable y Financial Business Intelligence (FBI)

¿QUÉ PROYECTOS DESARROLLAMOS?

 Somos un área donde los datos juegan un papel relevante, debemos destacar la importancia de tener robustez en los procesos, con información fiable y en tiempo. Esto nos permitirá seguir proporcionando servicio, tanto a supervisores como a la alta dirección, en un alto grado de calidad.

Hemos lanzado distintas iniciativas con el área de Medios que van encaminadas a iniciar un proceso de transformación en cada uno de los ámbitos que consideramos estratégicos: Operacional – Arquitectura Contable – Datos y Usos – Herramientas de procesos y reporting.

Como equipo impulsamos la digitalización mediante la optimización de procesos, herramientas tecnológicas e implantamos nuevos métodos de trabajo mediante proyectos. Gestionamos la interlocución con el área de Medios y centralizamos el presupuesto QBR de nuestra área y sus iniciativas asociadas.

Los proyectos en los que paticiparas en la posición son:

  • Implantar proyectos de soporte en el área de Contabilidad y Reporting Legal Integrado
  • Participar en el cierre contable individual y consolidado desde un punto de vista de proceso y herramientas de Caixabank y del Grupo.
  • Dar soporte al resto del área en materia de datos y herramientas, mediante extracciones de información, generación de Cuadros de Mando (CdM) y soluciones que permitan la toma de decisión de los procesos más relevantes.
  • Implantar nuevas maneras de trabajar en el área:
    • Analizando y optimizando procesos
  • Desarrollar Proyectos de Automatización mediante Robotics | Macros
  • Generar la definición de Nuevas herramientas
  • Participar activamente en el plan de transformación del área
  • Creación de valor en proyectos de
    • Visualización avanzada mediante Qlik
    • Analítica avanzada – Modelos – Python
  • Role de facilitador en la gestión del cambio en el área



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14May

Machine Learning Engineer – Ads (Off-Platform) (Remote


Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers — and all of these numbers are constantly growing.

 

As a Machine Learning Engineer within the Ads group, you will be joining a team that is responsible for optimizing the delivery of ads outside of the Yelp platform. In this role you will turn raw data into valuable signals by building elegant, scalable systems that use data warehouses, batch processing, and stream processing solutions.

 

Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.

 

This opportunity requires you to be located in the Republic of Ireland. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.



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13May

Chief Information Security Officer at Pinsent Masons


Job Title:  Chief Information Security Officer

Location: Birmingham or London

Hours of work: 9.30am–5.30pm (Variable), Monday to Friday. Some out of hours & weekend work (flexibility and travel required).

Reports to: Chief Technology Officer; Dotted line to Chief Operating Officer

About the Business: 

Here at Pinsent Masons we bring together the best people to get the job done. We’re naturally curious, constantly learning, listening, and growing. We’ll truly value your ideas. You’ll be joining an award-winning, hardworking and commercially minded team, where you’ll have the opportunity to work with leading experts and form meaningful relationships, while making a difference. You’ll get the opportunity to be involved in varied and challenging work. Working in an open and supportive environment, to deliver outstanding results. 

Purpose of the role: 

This role is responsible for the overall security posture of the organisation, ensuring the organisation’s information and technology assets are protected from internal and external threats.

The Chief Information Security Officer’s role is to provide vision and leadership for developing, implementing and supporting the firm’s cyber security strategy, and owning the delivery and operations of the programme of work.

The Chief Information Security Officer owns the planning and implementation of the cyber security programme, and ensures delivery in conjunction with peers, subject matter experts and business partners.

This individual is also responsible for ensuring compliance with all regulatory requirements and implementing and enforcing all security policies and procedures.

Candidate Overview:

We are looking for candidates who ideally hold the following skills and experience: 

  • At least 5 years in a senior leadership role in information / cyber security
  • Knowledge of common cyber security/ information security management frameworks including ISO 27001, NIST, Cyber Essentials, CIS
  • Wide ranging knowledge and experience of cyber security technologies, strategies, and information security risk management
  • Experience in the legal industry is highly desirable, with an understanding of the unique challenges and regulatory requirements.
  • Knowledge of legal and regulatory requirements related to cyber security and how these differ by jurisdiction.
  • Experience of developing and maintaining policies and procedures related to end-to-end cyber security management.
  • Experience of managing incidence response teams
  • Proven experience with creating, developing and leading teams.
  • Experience with building relationships at all levels, with internal and external stakeholders and business partners.
  • Experience of managing risks and issues, involving the right experts and individuals at the right time.

Qualification: 

  • Industry recognized certifications in Information Security (e.g. CISSP, CISM, CISA).

What can we offer you?

  • Agile working (the opportunity to work from home, subject to  commitments)
  • Carers’ leave (up to five paid days’ leave towards caring responsibilities) 
  • 25 days’ annual leave entitlement and the opportunity to purchase or roll over 5 days.
  • Contributory pension of up to 5%.
  • Private healthcare policy 
  • Death in service cover (4 x base salary).
  • Cycle to work scheme.

What happens next? 

Once your application has been submitted and reviewed, our Recruitment team will share the outcome with you by email. 

We typically hold two interview stages per vacancy providing the opportunity to meet two members of the hiring team at each stage. The first stage is typically conducted virtually and the second stage typically in person at the office in which the role would be based. However, we strive to remain flexible depending on the requirements of the role or the candidate. 

Our strength lies in our differences.

We are a Disability Confident and top Stonewall employer, a Valuable 500 member, a founding member of the Mindful Business Charter, signatory of the Race at Work Charter and a proud partner of Neurodiversity in Law. We encourage and value different ideas and styles of thinking. It’s with different perspectives that we’ll find solutions to our clients’ most complex challenges. It’s how we’ll deliver outstanding results today, and tomorrow. We want everybody attending an interview to be comfortable and able to fully demonstrate their experience and talents. 

#LI-BOSD



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13May

Head of Data Science, LTV at Trainline


We are champions of rail, inspired to build a greener, more sustainable future of travel. Our purpose is our momentum. It makes us feel good because we know we’re doing good. As we lead the way to a greener future, we do it together. We’re all about connections – with each other, with our customers and with the world. Just as our platform brings the world together, it’s our ambition that connects us. We motivate each other to go beyond our limits, to experiment, to fail and to always grow. 

With over 110 million visits every month to our platform and £4.3 billion in net ticket sales, we’re always innovating and making moves towards our final destination — a world where travel is as simple, seamless, and affordable as it should be. 

And we couldn’t do any of it without our incredible people driving us forward. Today, we’re a FTSE 250 company that’s proudly home to more than 1000 Trainliners from over 60 nationalities across offices in London, Paris, Barcelona, Milan, Edinburgh, Berlin, Madrid and Brussels. It’s this diversity that energises us and makes us stronger, helping us to achieve amazing things. 

With our sights firmly set on further European growth, there is no better time to jump on board this high-speed train and be part of our continued success. 

Great journeys start with Trainline. 

Introducing Data Science at Trainline👋  

Data Science is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded in cross-functional teams which exist across product and marketing.  Data Scientists have a high degree of autonomy and are empowered to drive the success of their teams, using all data and techniques at their disposal.      

As a Head of Data Science you will manage a team of highly functioning team of Data Scientists and Data Science Managers in the Growth pillar of Trainline. You will also be the joint lead of this cross functional pillar which comprises of ~150 people across Product, Engineering, Marketing and broader data functions.  

The pillar itself is focused on driving the growth engine of trainline, with a large Marketing footprint across all major marketing channels operating in a heavily data driven way to acquire users, a portion of the team focused on driving up retention and LTV through marketing, CRM and onsite activities and portion of the team focused on driving up revenue per user through partnerships and advertising. Getting this growth loop working well is the key to Trainline’s success and this therefore represents an exciting opportunity in the team. 

As a Data Science leader you are responsible for ensuring that your team is contributing to the short and long term decision making in all parts of the Growth pillar as they embed in teams, this could range from building out attribution models, LTV predictions, incrementality testing etc as well as guiding each team to set ambitious north star strategies and working towards these in a data driven way. 

As a leader of the Growth pillar you will work with your Product, Marketing, Engineering and Commercial counterparts to set out the long term strategy for growth at Trainline and ensure we execute on this within the team whilst being responsible for communicating this vision and progress to it to senior leadership in the company. You will also have a close working relationship with Data Engineering, Machine Learning and BI teams as the data representative in the Pillar leads group to ensure all of data is working on the right problems to move Trainline forwards. 

Management experience is required, as is a marketing experience with a history of driving growth using multiple levers and a strong history of being able to drive decisions with data and history of management. 

Data science at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact – as the data scientist on the team you will be actively driving innovation on the team by contributing to strategy, execution and continuous learning.  

As a Head of Data Science at Trainline, you will…🚄  

Be responsible for influencing product, marketing and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will: 

  • Lead a team of ~12 Embedded DS and Managers 
  • Drive a high standard of work and hold a high bar for impact within your org 
  • Mature how we achieve growth in a data driven way across your team 
  • Lead, with your cross functional counterparts, the strategy and delivery of the Growth pillar of Trainline of ~130 people 
  • Think big, clearly setting out a strategy and ensuring data driven execution 

We’d love to hear from you if you have…🔍  

  • Proven experience in leading data driven teams in the growth and marketing space  
  • Experience managing a data driven team and holding a high bar for analysis for 3+ years 
  • Experience in driving growth in an online product for 6+ years 
  • Experience setting the strategic direction and thinking big 
  • Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management  
  • Experience of marketing evaluation and measurement of success. For example, running holdout/incrementality testing to evaluate campaign effectiveness or deploying new bidding models and understanding their impact  
  • Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results  
  • Strong PowerPoint and presentation/communication skills  
  • Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. 
  • Knowledge of statistical techniques like econometric modelling (desired) 
  • Tech Stack: SQL, Python, R, Tableau, Power BI, AWS Athena + More!  

Why should you jump on board? 

We pay special attention to learning and development and organise quarterly company learning days as well as offering a learning budget that can be put towards resources of your choice. We will cover the costs of your professional subscriptions and give you access to our very own learning platform. 

At Trainline, we care about the wellness of our employees. We host puppy therapy sessions, in-office yoga and run Mental Health First Aider training courses as well as having an Employee Assistance Program as one of our many company benefits.  

We regularly throw fun social events such pub quizzes, karaoke nights and our large-scale Summer and Winter Festivals every year. Additionally, we love hosting meetups in our amazing event spaces and having the opportunity to support internal and external community groups.  

We also hold companywide hackathons and our annual Trainline Tech Summit, which provides Trainliners with an opportunity to stand up and share their story, learnings, or new skills with their colleagues in a safe environment. 

Our flexi-first approach

We believe in the importance of a healthy work-life balance and the value of a flexible workforce. Our flexi-first approach outlines our commitment to a hybrid way of working and our expectations of Trainliners. A key part of what makes Trainline special is our people and the value we get from the buzz and energy of our workplaces, and that’s why we’re proud to offer the best of both worlds. In practice this means in–office attendance at least 40% of the time over a 12-week period for all Trainliners. These in-office days are typically team led to help us connect, collaborate and create together.  

Our Values 

  • Think Big – We’re building the future of rail 
  • Own It – We care about every customer, partner and journey 
  • Do Good – We make a positive impact 
  • Travel Together – We’re one team 

Interested in finding out more about what it’s like to work at Trainline? Why not check out what our employees say about us on Glassdoor? You can also find out more information by following us on LinkedIn or our ‘Life at Trainline’ Instagram account.  

We value open expression at Trainline, we believe it’s the diversity of experience, backgrounds and perspectives of our employees that makes us who we are. We encourage everybody to play a part in changing the way people travel across the world. 





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