Software Engineer, Recommendations (Machine Learning)

Software Engineer, Recommendations (Machine Learning)

Build the world's fastest Identity and Checkout products

Company Mission

Our mission is to make buying online faster, safer and easier for everyone. Fast Login and Fast Checkout enable a one-click sign-in and purchasing experience that makes it easier for people to buy and merchants to sell. The company’s products work on any browser, device or platform to deliver a consistent, stress-free purchasing experience. Fast is entirely consumer-focused and invests heavily in its users’ privacy and data security. Headquartered in San Francisco but open to a globally remote workforce, we are a founders-led, privately held company funded by Stripe, Index Ventures, Susa Ventures and other world-class investors.

Team & Role Summary

The ML & Data group’s mission is to empower Fast to easily embed machine learning and data in our strategy, decision making, and product experiences so that we can bring value to our customers. On the platform side, this group is responsible for: scaling our online infrastructure to track, measure, and quantify user touchpoints, building a data platform that supports batch and streaming data processing at scale, enhancing our product experiences with experimentation and machine learning infrastructure. On the product side, it is also this group’s core responsibility to build recommendations, search, and other machine learning powered products that can increase engagements with our customers and supercharge Fast sellers with increased revenue.

Our Recommendation team is responsible for building the recommendation engine at Fast to help our customers discover valuable products and bring our sellers with increased revenue. We are looking for engineers to build new products from the ground up and tackle exciting challenges at scale. Our engineers work on designing and developing recommendation systems and models, writing and reviewing production code, and working alongside our infrastructure and reliability teams. You will develop algorithms and apply machine learning to solve cutting-edge problems everyday. You are encouraged to think big, experiment with new ideas, and make fast iterations.

As a Machine learning engineer at Fast, you will build ML/Data driven applications for Fast, which include Search, Recommendation, Risk and more. The position will also involve building the ML and Data Infrastructure that will be used by all engineering teams.


    • Work with a cross-functional team consisting of engineering, data science, product, and operations
    • Design and build highly scalable systems needed to ship ML/Data powered product features
    • Build ML and Data Infrastructure that will be used by all engineering teams at Fast
    • Own the full ML pipeline of analyzing data from our traffic, collecting training data, defining evaluation criteria, training models, deploying models to production and re-training models.
    • Build and integrate search, recommendation and risk engines with our backend infrastructure to support real-time inference under strong latency constraints and high level guarantees.


    • Bachelor’s degree in a technical field (computer science, engineering, mathematics, informatics); advanced degree preferred (or equivalent experience)
    • 4+ years of industry experience on building machine learning related applications
    • Remarkable professional experience designing and developing software at scale
    • Strong programming skills in Golang, Python, and/or Java (we use Golang and Python)
    • Knowledge of distributed systems, databases, APIs

Nice to Have

    • Experience working with search, recommendation or riskE
    • Experience working with Snowflake, Apache Spark, Flink, Beam
    • Ability to configure and manage compute infrastructure (terraform, k8s, etc)

Benefits and Perks - Because People Matter

We are committed to diversity and inclusion, and demonstrate our values through equitable pay, fantastic benefits, and access to all reasonable accommodations. 

See what Fast can offer you:

Comprehensive Medical, Dental and Vision insurance (99% paid by Fast)
Globally remote with flexible work schedules and commuter benefits to fit your needs
Generous maternity & paternity leave for all family caregivers
401k match up to 4%
Competitive Salary & Equity
People-focused, unlimited & flexible paid time off
Inclusive events & programs to allow everyone to express their voice (or dance skills)
Monthly exercise, internet & office equipment stipends (and great snack perks)
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