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Senior Software Engineer - Machine Learning Infrastructure

About Us:

Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We're always live at Twitch. Stay up to date on all things Twitch on Linkedin, Twitter and on our Blog.

About the Role:

The machine learning (ML) infrastructure team at Twitch is building a suite of shared tools and systems to allow ML product teams to build better user-facing products (e.g. Recommendation, Search, Safety). We are looking for an experienced ML infrastructure engineer who is excited to solve challenging and open-ended problems. As a senior engineer in the team, you will guide technical directions of our offerings and solutions, having an impact on many ML product teams at Twitch. You will have opportunities to lead a group of cross-team engineers to build and launch infrastructure projects from scratch and know when not to. In addition to being an individual contributor, you will also mentor junior engineers and guide them to achieve to their full potential.

You Will:

• Combine software engineering principles with machine learning (MLOps) to develop scalable, reproducible and easy-to-use systems to solve feature storage and access, model development and hosting, tracking and monitoring faced by productionizing advanced ML techniques.
• Oversee technical projects from start to finish and help build major technical decisions and tradeoffs. Participate in team's planning, code reviews and design discussions.
• Consider the effects of projects across multiple teams and manage conflicts and technical convergence. Work with partner teams to ensure they are benefiting from the systems we built.
• Embrace and champion engineering best practices within your group and beyond.
• Produce clean, high-quality production codes, tests, and well written documentation.
• Work with engineering leadership to help shape the roadmap and processes for our growing ML needs.

You Have:

• 5+ years industry software engineering experience.
• 2+ years of work experience building and operating large-scale production Machine Learning systems or experience building distributed systems and ML systems.
• Proficiency in designing data structures, building algorithms, and at least one object-oriented language (e.g. Python, Go, Java, or C++).
• Experience in Cloud technologies (e.g. AWS, GCP) and containerization software (e.g. Docker, Kubernetes, Mesos).
• A Bachelors or preferably Masters degree in Computer Science, or Computer Engineering, or equivalent experience.

Bonus Points

• Experience building and launching large-scale ML infrastructure for online recommendation, ads ranking, personalization or search.
• Experience working with large-scale data pipelines and storage systems.
• Interest in MLOps.
• Familiarity with AWS services.
• Contributions to open source software projects. Send us a link to your contributions.

Perks:

• Medical, Dental, Vision & Disability Insurance
• 401(k), Maternity & Parental Leave
• Flexible PTO
• Commuter Benefits
• Amazon Employee Discount
• Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.),
• Breakfast, Lunch & Dinner Served Daily
• Free Snacks & Beverages

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status, or other legally protected status.

Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation , including medical or religious accommodation.