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The Data Operations group owns a number of data-driven products and platforms that are essential to the Hubspot ecosystem. We believe data is the center of the customer experience. Our systems give customers ways to use data to drive more valuable insights, operationalize them and grow better. 

On the Snowflake Product Platform backend team, you’ll be working at the intersection of software engineering and data engineering in a pivotal role that enables other teams to build data-driven products on our data warehouse. Our data warehouse is petabyte scale with multi-trillion row tables and serves more than a million analytic queries per day.

We’re looking for a backend focused Senior Software Engineer with experience working with data or a keen interest in working with data who values reliability and quality. Engineers in our group can expect to work in small, autonomous teams and have full ownership over their apps. Day-to-day, this team works with Java, Kafka, MySQL, ElasticSearch and Snowflake.

We’re looking for people that:

• Have experience consistently delivering high value, high impact, cross-team projects
• Work well in small teams with full ownership over their apps
• Value ownership in all facets of their projects
• Have a customer-centric attitude and develop opinions about the HubSpot product

What you’ll need:

• Experience with any JVM language such as Java or Scala
• Ideally you’d have experience in SQL and Snowflake or other data warehouses
• Experience working with data in any capacity is a big plus 

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

 

If you need accommodations or assistance due to a disability, please reach out to us using this form. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

 

 

Germany Applicants: (m/f/d) – link to HubSpot’s Career Diversity page here.

 

About HubSpot

HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.

You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.

Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot. 

By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot’s Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information. 

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.Software Engineer, Machine Learning Responsibilities

• Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
• Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.
• payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
• Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
• Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
• Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
• Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
• Develop system level traffic triaging service to elastically allocate capacity to different model service.
• Conduct algorithm examination and redesign model space to improve system efficiency.
• Develop model launch guidelines to optimize system return of investment.

Minimum Qualifications

• Requires a Master’s degree in Computational Data Science, Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.
  Requires completion of a university-level course, research project, internship or thesis in the following:
• 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
• 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
• 3. Translating insights into business recommendations
• 4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
• 5. Developing and debugging in C, C++, and Java
• 6. Scripting languages: Perl, Python, PHP, or shell scripts
• 7. C, C++, C#, or Java
• 8. Python, PHP, or Haskell
• 9. Relational databases and SQL
• 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
• 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
• 12. Build highly-scalable performant solutions
• 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
• 14. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems
• 15. Distributed systems.

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

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. 215.658 $/year to 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.