Blog

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

Anthropic’s Research Tools team builds systems that support our large-scale, distributed finetuning runs and improve the productivity of researchers. As a manager, you’ll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient, support fast iteration on model development and research, and evolve the infrastructure continuously to incorporate new research advances.

Our Research Tooling sits at the intersection of almost every technical group at Anthropic. You’ll work with research teams to incorporate their innovations into our production finetuning pipeline, product teams to help us iterate quickly on customer-oriented model improvements, and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible.

About Anthropic:

Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product.

Responsibilities:

• Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs.
• Design processes (e.g., postmortem review, incident response, on-call rotations) that help the team operate effectively.
• Coach and support your reports to understand and pursue their professional growth.
• Run the team’s recruiting efforts efficiently, ensuring we can grow as quickly as we need through a period of rapid growth.

You may be a good fit if you:

• Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well.
• Are an experienced manager (at least 2 years) and actively enjoy people management.
• Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level) to be effective.

Strong candidates may also have:

• Experience working with research teams, especially as part of a “research to production” pipeline
• Strong people management experience: Coaching, performance evaluation, mentorship, career development
• Strong project management skills: Prioritization, communicating across team/org boundaries
• Experience recruiting for your team: Predicting staffing needs, designing interview loops, evaluating candidates, and closing them

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

The expected salary range for this position is:

Annual Salary:$425,000—$510,000 USD

Logistics

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity – For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits –  The following benefits are for our US-based employees:

• Optional equity donation matching.
• Comprehensive health, dental, and vision insurance for you and all your dependents.
• 401(k) plan with 4% matching.
• 22 weeks of paid parental leave.
• Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
• Stipends for education, home office improvements, commuting, and wellness.
• Fertility benefits via Carrot.
• Daily lunches and snacks in our office.
• Relocation support for those moving to the Bay Area.

UK Benefits –  The following benefits are for our UK-based employees:

• Optional equity donation matching.
• Private health, dental, and vision insurance for you and your dependents.
• Pension contribution (matching 4% of your salary).
• 21 weeks of paid parental leave.
• Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
• Health cash plan.
• Life insurance and income protection.
• Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we’re different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

• Join a world-leading research team in robotic inspection and asset management

• Develop novel multi-camera visual-inertial SLAM technology

• Full time, fixed term for 3 years. Offering a base salary of $105,314 – $116,679 + 17% superannuation 

About the opportunity

ARIAM Hub is a collaboration between leading academic researchers and experts from the Australian robotics industry supported by the Australian Research Council to deliver research excellence in robotics for asset management. ARIAM spans 3 renowned Australian universities: The University of Sydney, QUT and ANU.

We are currently seeking an ambitious and talented Postdoctoral Research Associate to undertake fundamental and applied research related to the design and deployment of novel multi-camera visual-inertial SLAM technology.  As part of the Australian Robotic Inspection and Management Research Hub (ARIAM), this position involves working closely with Hub Industry Partner Visionary Machines on their advanced vision systems for next generation machine autonomy. As part of the research hub you will have opportunities to travel and collaborate with our partners across Australia.

This role will be supervised by Dr Viorela Ila, Head of the Robotic Perception Group within the Australian Centre for Robotics (ACFR). The ACFR is one of Australia’s leading robotics research groups, and the Robotic Perception group focuses on researching robust solutions to sensing, estimation, mapping and planning in dynamic environments.

The objective of this research is to develop novel multi-camera visual-inertial SLAM technology for autonomous navigation in GPS restricted applications.

In this role you will:

• work closely with project academics, engineers, and PhD students in conceptualizing and delivering novel visual-inertial systems for autonomous navigation

• evaluate and validate accuracy and robustness of the solutions

• support the integration of the algorithms with other modules to achieve autonomy

• contribute to the creation of a demonstrator system that will showcase your research and that of other project participants, and

• contribute as a researcher to project report preparation, presentation at internal workshops, and dissemination at top international conferences and journals as well as via internal workshops and presentations.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values. We are seeking an excellent candidate for a Postdoctoral Research Associate in multi-camera visual-inertial SLAM technology who has:

• a PhD (or near completion) in Robotics, Computer vision or related discipline

• strong background in mathematics and experience with one or more programming languages (C, C++, C#, Python)

• knowledge of multiple view geometry, visual tracking, estimation, visual-inertial SLAM, calibration techniques

• the ability to manage diverse stakeholders and coordinate multiple project objectives

• excellent communication and interpersonal skills

In addition to submitting a cover letter and CV, there is also the option for you to include a Google Drive link to a 2 minute selfie video covering the following:

• Your strongest engineering and/or research skills,

• What do you enjoy most about research, and

• A description of a project/research that you’re proud of, or plan to be when completed

Previous candidates need not apply.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

EEO statement 

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds. 

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.  

In addition to the cover letter and CV, there is also the option to include a Google Drive link to a 2 minute selfie video covering the following:

• Your strongest engineering and/or research skills,

• What do you enjoy most about research, and

• A description of a project/research that you’re proud of, or plan to be when completed

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard.  Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Rebecca Astar, Recruitment Operations by email to

re*************@sy****.au











.

© The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for
this role.

Applications Close

Thursday 10 October 2024 11:59 PM

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $82,900.00 in our lowest geographic market to $185,700.00 in our highest geographic market. Actual salary will vary based on a candidate’s location, qualifications, skills and experience.

Information about benefits can be found here.
 

Who are we looking for

We are actively seeking to hire multiple Machine Learning Engineers to join our AI/ML team. As a Machine Learning Engineer within the AI/ML team, you will be developing advanced analytics systems that directly impact our business. You will work on a cross-disciplinary team (data/API/infra/infosec/ML) to enable data-driven decision making across multiple organizations.

Working at the intersection of machine learning and software engineering (i.e., MLOps), you’ll create high-quality solutions that power Nike. You will work with others who are energized by the challenge of building things from the ground up, thinking out of the box, and applying the latest technologies in statistical, unsupervised, supervised, and machine learning models at global scale.

Our teams enjoy a collaborative and academic environment that promotes developing new skills, mentorship, and a drive to deliver knowledge and software back to analytics and engineering communities, within and Nike and without. This culture is cultivated by intellectual curiosity, fun, openness, and diversity.

Sound like you?

Who will you work with

AI/ML is one of the key groups within Data and Analytics. We’re chartered to scale machine learning and AI at Nike. For areas of the business early in their analytics journey, we embed cross-disciplinary teams of data scientists and engineers to unlock new capabilities and answer unsolved (or unasked!) questions.

In mature areas with preexisting data science teams, we help scale machine learning by attaching engineering squads to grow their capacity to deliver for the business. In addition, we collaborate closely with platform and architecture partners to develop capabilities that simplify machine learning at scale within Nike (e.g., model management, A/B testing, feature stores).

Essential Job Functions:

• Serve as an integral member of a cross-functional engineering teams that delivers solutions unlocking machine learning for Nike. You will analyze and profile data to uncover insights in support of scalable solutions, clean, prepare and verify the integrity of data for analysis and model creation. You’ll also track model accuracy, performance, relevance, and reliability. You will apply a variety of machine learning and collaborative filtering methods to data sets. You will aid in building APIs and software libraries that support adoption of models in production
• Leverage your prior experience, knowledge of industry trends, and personal creativity to develop new and innovative solutions which delight our customers in their mission to serve Athletes*.
• Stay current with industry trends and recommend relevant technologies & products in the areas of Analytics, Machine Learning, Artificial Intelligence, and Data Science tools and other emerging technologies. Given the rapid pace of change in technology and machine learning today, always be pushing the boundary of what’s possible and be on the offense always.
• Embrace and embody Nike’s core values (maxims) in your work and interactions with peers and stakeholders. Communicate effectively, building trust and strong relationships across the company, do the right thing.

What you bring to Nike

• Bachelor’s degree in a relevant field, like computer science or software engineering, or equivalent experience.
• Understanding of Machine Learning, its applications, and the lifecycle of an ML application in production; including an ability to articulate the role of MLOps in model development from experimentation to production and measurement
• An ability to meaningfully communicate, written, orally, and visually technical topics with peers and articulate the benefits and tradeoffs of various solutions
• Experience working in and/or collaborating with a partial or fully distributed team
• Understanding of data structures, algorithms, and data solutions
• Experience in applying Python (or another language commonly used in the field of ML, such as Scala, Julia, C++) and SQL to ML and/or software and data engineering tasks
• Familiarity with ETL, ML, or analytics technologies such as Scikit-learn, Pandas, OpenCV, NumPy, TensorFlow, or similar platforms and frameworks
• Awareness of data science platforms (like Databricks or SageMaker), distributed engines (like Spark and AWS cloud), and CI/CD pipelines and containerization are preferred
• Fluency in the application of open-source technologies and the potential of standardized platforms in the area of Data Science, AI, & ML.
• Nice to have: an interest in the potential of Generative AI to accelerate common development and data science tasks, or the deployment of Generative AI solutions in the enterprise

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

The Cadence Digital and Signoff Group Machine learning team is a high energy team which explores and implements Deep and Machine Learning techniques to Electronic Design Automation [EDA] tools. We are looking for exceptional individuals skilled in ML and Deep-Learning algorithms, frameworks and application development. In addition, we desire a team player with excellent communication skills who is as comfortable discussing Deep Learning research as with developing APIs to innovative new software.

Primary responsibilities include researching and developing Machine Learning approaches to problems in the EDA and system design, as well as designing, implementing, verifying and maintaining software to address those markets. The ability to interact with a worldwide cross-functional team and collaborate productively is a necessity. A strong software engineering background is mandatory with emphasis on C/C++, Python, Linux-based development and ML/DL frameworks like Sci-kit learn and Tensorflow/Keras.

Graduate school or work experience with advanced Machine Learning techniques and algorithms in the area of VLSI CAD is highly desirable

Position Requirements: 

MS in CS/EECS or higher

We’re doing work that matters. Help us solve what others can’t.

The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets, and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk, and extend liquidity in markets around the world. This role is with the Digital Document Services group, to support a Cross Line of Business function which requires collecting procedural changes and provide training to impacted team members and stakeholders.  

Job Responsibilities:

• Passionate about AI/ML and equipped with knowledge in algorithms and the general functioning of AI.
• Design, develop, and automate manual reporting processes using tools such as Alteryx, SQL, and Python.
• Analyze complex data sets to identify trends, patterns, and insights that inform business decisions.
• Collaborate with cross-functional teams to understand data requirements and deliver tailored analytics solutions.
• Optimize and maintain existing reporting workflows to ensure accuracy, efficiency, and scalability.
•  Provide actionable recommendations based on data analysis to drive continuous improvement and strategic initiatives.
• Manage communications and meetings with project teams and key business partners, escalating challenges as needed.
• Facilitate review with Stakeholders including Process Owner, Management, Testing and Compliance securing all approvals for procedures.

Required qualifications, capabilities, and skills:

• Bachelor’s degree (or currently enrolled) in Data Science, Computer Science, Engineering, or a related field.
• Experience in data analytics, with a focus on automating manual reporting processes a plus.
• Strong proficiency in Alteryx, SQL, Tableau or Python.
• Understanding of data visualization techniques and tools.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively both independently and as part of a team.
• Knowledge of financial services functions, operations, and awareness of regulatory and compliance environments a plus
• Demonstrated interpersonal skills and a team player with the ability to build effective relationships at all levels of the organization.
• Ability to explain complex and technical concepts clearly with strong attention to detail.

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Informations générales

Référence

2024-693  

Société

Prisma Media

Description du poste

Intitulé du poste

Lead Data Scientist – CDI

Contrat

CDI

Description de la mission

 

Au sein de la cellule IT de Prisma Media vous intervenez sur les différents business (vente au numéro, abonnement, publicité, digital, marketing, etc.) et sur l’ensemble des données issues de la diffusion des magazines, de la base abonnés, de la data email, du trafic digital, des contenus éditoriaux et de la publicité. 

 

Vos missions ? 

 

Développer des projets Data et IA :

• Comprendre les enjeux business et les besoins métiers afin de proposer les solutions adaptées
• Explorer de nouveaux cas d’usage IA/ IA Gen pouvant apporter de la valeur pour l’entreprise (identification des cas d’usage, mise en place de POC)
• Apporter des recommandations actionnables aux métiers et les accompagner dans l’activation des modèles

 

Piloter l’implémentation technique des projets IA :

• Formaliser l’approche data science et mettre en œuvre les techniques data science et les algorithmes de machine learning permettant de répondre aux besoins identifiés
• Réaliser les différentes phases du projet Data Science : préparation et traitement de la donnée, développement des algorithmes et mise en production des modèles
• Mettre en œuvre les bonnes pratiques de code pour permettre l’industrialisation et le maintien des solutions IA
• Mettre en place des solutions efficaces de suivi de la performance des algorithmes et de l’impact business
• Collaborer avec les équipes IT et data engineers pour participer à la conception et l’optimisation de l’architecture technique
• Mettre en production les modèles

 

Manager une équipe de data scientists :

• Organiser, prioriser et répartir le travail au sein de l’équipe
• Suivre l’avancement des projets et lever les points d’alerte si nécessaire
• Développer les compétences des collaborateurs

 

Contribuer au rayonnement de l’IA & de la data science :

• Communiquer en interne et en externe autour des projets data science réalisés
• Acculturer et former les collaborateurs Business aux concepts liés à la data science et à l’IA
• Présenter des notions complexes de manière simple et claire à une audience non technique
• Évangéliser autour de l’utilisation de la data science et partager des bonnes pratiques au sein de la communauté data de Prisma Media.
• Assurer une veille technologique sur les nouveaux algorithmes et solutions IA et leurs applications possibles chez Prisma Media 

Profil

 

Compétences recherchées ?

• Vous avez une maîtrise avancée des techniques de data science et de machine learning (apprentissage supervisé et non-supervisé dont gradient boosting, réseaux de neurones, clustering, réduction de dimensions, séries temporelles, statistiques avancées) ;
• Vous maîtrisez l’environnement GCP et les architectures Data;
• Vous maîtrisez Python (NumPy, SciPy, Pandas, Scikit-Learn), Git et bases de données Oracle / SQL ;
• Vous avez des compétences en gestion de projet (méthodes agiles) ;
• Vous comprenez et anticipez les problématiques de forte volumétrie de données pour un projet technique ;
• Vous êtes capable de communiquer de manière claire et concise des concepts complexes aux parties prenantes techniques et non techniques ;
• Vous travaillez efficacement avec différentes équipes (ingénierie, produit, marketing, etc.) et vous savez construire des relations positives avec vos collègues pour atteindre des objectifs partagés ;
• Comprendre les enjeux d’un groupe média et de ses business models est un réel atout.

Nos avantages ?

• Une politique de télétravail flexible
• 6 semaines de congés payés – 3 semaines de RTT
• Participation
• Des locaux spacieux et lumineux
• Une conciergerie : pressing, coiffeur, boutique…
• Café et thé gratuits, cantine de qualité avec des produits de saison cuisinés sur place
• Des formations & conférences mensuelles sur des thématiques diverses : réseaux sociaux, développement personnel, intelligence artificielle…
• Des events annuels : Garden party, journées Vis ma vie…

Localisation du poste

Localisation du poste

Europe, France, Ile-de-France, Hauts-de-Seine (92)

Ville de localisation du poste

Gennevilliers

Job Description:

About Rakuten

Rakuten Group, Inc. is the largest e-Commerce company in Japan, and provides a variety of services in e-commerce, fintech, digital content and communications to many users all over the world.

Department overview

The Rakuten Technology Service Division, creates powerful, customer-focused search, recommendation, data science, advertising, marketing, price, and inventory optimization solutions to a variety of businesses in commerce, fintech and mobile industries.  We design, develop, and deploy high performance, fault-tolerant distributed systems used by millions of Rakuten customers every day. We strive to deliver the most innovative solutions that are helpful to people and societies around the world.

Why we hire

We are looking for a talented site reliability engineer to work in a cross functional team environment to deliver search services on our platform. The services you will administer support some of the largest e-commerce sites in Japan and across the world. To do so, you will be a key contributor to improve our processes, practices and tools as well as our infrastructure, software delivery and operations.

Position Details

– Configuration, tuning and deployment of our search platform, as well as search services on it, operate search platform safely to deliver the solution to our clients.

– Tailor and tune search services according to its users’ requirements.

– Trouble shooting and investigating of issues on the search platform.

– Continuously improve the operational workflow through automation.

– Continuously monitor and maintain our services within their SLAs.

– Act as a critical part of a multi-team effort to deliver, manage and maintain configuration automation to meet user requirements.

– Document, design various processes geared toward continuously improving our services.

Requirements

– Minimum 5 years’ experience with Linux/Unix systems.

– Good knowledge of system monitoring practice and tools.

– Experience in at least one container orchestration solution, e.g., K8s, Mesos etc.

– Good knowledge of CI/CD fundamentals (preferably in Jenkins)

– Master at least one scripting language, e.g., python, bash, etc.

– Good understanding of networking.

– Experience with data processing frameworks (e.g., Hadoop, Spark, etc.) is a plus.

– Responsible and self-motivated.

Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Job Category

Technology

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$155,400.00 – $256,500.00

Target Openings

1

What Is the Opportunity?

As a Senior Director of Architecture, you will help lead the effort to create the technology target state for Personal Insurance. As a direct report to a member of the Enterprise Architecture and Emerging Technology leadership team, you will interface directly with senior technology leaders to transform our current business and technology capabilities and pave the way for best-in-class solutions. You will be a dedicated partner to senior Technology and Business leaders as you define a target state, roadmaps and identify new and emerging technologies that will transform and optimize the business. As an organizational leader, you will humbly serve and inspire a team of high-performing Architects who you will coach, mentor, and empower. As a successful candidate, you are a visionary executive with a track record of building high-quality enterprise solutions and teams. You are results-driven and bring strong Architecture and engineering skills and a deep understanding of modern technologies including Cloud-native, APIs, AI, and ML. You are a person of high integrity, who believes in challenging the status quo when needed, while always first seeking to understand. You will work within a community of architecture leaders, charged with establishing and evolving a unified architecture vision.

What Will You Do?

• Organizational responsibility a segment of Technology Architecture in support of Personal Insurance
• Works with the Senior leadership within Technology and Business to develop architecture priorities and direction to enable business imperatives
• Displays strong thought leadership in pursuit of modern architecture principals and technology modernization
• Drives continuous technology transformation to minimize technical debt
• Create a partnership with Senior Software Engineering leadership
• Looks for opportunities to capitalize on technology advances through analysis of key industry and technology trends to assess potential impact on the enterprise
• Defines and leads technology proof of concepts to ensure feasibility of new technology architecture solutions
• Defines target state technology architecture and roadmaps
• Ensures alignment of IT initiatives with the target state
• Builds strong partnership with engineering to ensure proper alignment of skills with technology direction
• Prepares and delivers comprehensive communications to convey architectural direction and how it aligns with enterprise strategy
• Optimizes talent strategy to ensure proper mix of resources and attracts and recruits best talent
• Continuously improve efficiency and effectiveness of the architecture
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Bachelor’s in technology related field or equivalent with 7+ years of technology Architecture experience
• Two years of previous people management experience and provided mentorship to architecture team.
• Organizational and transformational Leadership Experience in an agile operating model
• Help define strategic technology direction and architecture vision for an organization
• Expert level Software Engineering experience
• Develop technology target state, roadmaps that aligned to Short- and Long-term business goals
• Proven track record of Influencing senior leadership
• Insurance technology experience
• Strong grasp of value creation and business capability models
• Innovation and Continuous Improvement
• Must be passionate about technology transformations
• Has hands on experience in the last 3 years
• Executed technology modernization initiatives including migration to cloud native and API Strategy
• Current experience with AWS, APIs, accelerators, DevSecOps
• Cloud Architecture Certification (AWS, GCP, or Azure) or strong architecture experience on Cloud
• Good understanding of security
• Experienced with large scale technology platforms

What is a Must Have?

• Bachelor’s degree or its equivalent in work experience
• Eight years of experience in enterprise, application, and/or information architecture within a line of business or enterprise area
• Two years of previous management experience

What Is in It for You?

• Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
• Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
• Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
• Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
• Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

Employment Practices

Travelers is an equal opportunity employer. We believe that we can deliver the very best products and services when our workforce reflects the diverse customers and communities we serve. We are committed to recruiting, retaining and developing the diverse talent of all of our employees and fostering an inclusive workplace, where we celebrate differences, promote belonging, and work together to deliver extraordinary results. 

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.

If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.

Travelers reserves the right to fill this position at a level above or below the level included in this posting.

To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.