Every day, the world gets more digital thanks to tens of millions of developers building the future faster than ever. But with exponential growth comes exponential risk, as outnumbered security teams struggle to secure mountains of code. This is where Snyk (pronounced “sneak") comes in. Snyk is a developer security platform that makes it easy for development teams to find, prioritize, and fix security vulnerabilities in code, dependencies, containers, and cloud infrastructure — and do it all right from the start. Snyk is on a mission to make the world a more secure place by empowering developers to develop fast and stay secure.
Joining Snyk means embracing our core values: One Team, Care Deeply, Customer Centric, and Forward Thinking. As a member of our team, you’ll have the opportunity to thrive in a dynamic environment where fostering collaboration, leading with empathy, driving business impact, and inspiring trust are at the heart of everything we do.

OUR OPPORTUNITY

We’re looking for a passionate and experienced Machine Learning engineer to join our Machine Intelligence team. In this role, you’ll help us build a best-in-class products, including Snyk DeepCode AI Fix

This platform will play a key role in ensuring application security throughout the development lifecycle.The ideal candidate will have industrial-level (research and/or production) ML experience of 3+ years, and a proven track record of developing production-grade ML pipelines. This role requires a deep understanding of language model optimizations and the ability to run and own experimentation end-to-end. The successful candidate will be proficient in C++, Python, one of typical ML training and serving frameworks, and will play a crucial role in advancing our machine learning capabilities for code analysis and program understanding.You’ll Spend Your Time:

• Design, implement, and maintain machine learning models at the intersection of program analysis and language processing, such as automatic code generation, code understanding.
• Develop and optimize production-grade pipelines to ensure scalability and efficiency.
• Optimize existing machine learning models for performance and efficiency.
• Lead cross-team collaborations to integrate machine learning solutions into our products and services.
• This is a “research engineer” position – we expect that you own features end-to-end, from ideation at our regular small-hands hackathons, to production.

WE’D BE LUCKY IF YOU HAVE EXPERIENCE IN:

• Ability to not stop at the demo-level: Jupyter notebook, or even a locally running Python script is not your final goal.
• Familiarity with ML training, evaluation, and experiment tracking frameworks.
• Additional backend-heavy languages such as Go, Rust.
• Experience with production/serving stack, such as Docker, k8s.
• Research activities, publications in the field of ML, contributions to open-source projects.
• Prior experience in the security domain, code analysis or program understanding.
• Experience with large-scale machine learning projects.
  Fix code vulnerabilities automatically | Snyk User Docs
  

  LI-JW1

We care deeply about the warm, inclusive environment we’ve created and we value diversity – we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you’re the right person, do apply anyway!

This platform will play a key role in ensuring application security throughout the development lifecycle.The ideal candidate will have industrial-level (research and/or production) ML experience of 3+ years, and a proven track record of developing production-grade ML pipelines. This role requires a deep understanding of language model optimizations and the ability to run and own experimentation end-to-end. The successful candidate will be proficient in C++, Python, one of typical ML training and serving frameworks, and will play a crucial role in advancing our machine learning capabilities for code analysis and program understanding.You’ll Spend Your Time:

• Design, implement, and maintain machine learning models at the intersection of program analysis and language processing, such as automatic code generation, code understanding.
• Develop and optimize production-grade pipelines to ensure scalability and efficiency.
• Optimize existing machine learning models for performance and efficiency.
• Lead cross-team collaborations to integrate machine learning solutions into our products and services.
• This is a “research engineer” position – we expect that you own features end-to-end, from ideation at our regular small-hands hackathons, to production

Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role.

• Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development
• Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers
• Health benefits, employee assistance plans, and annual wellness allowance
• Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowance