ROKT
Staff Machine Learning Engineer - Seattle
ROKT, Seattle, WA
We are Rokt, a hyper-growth ecommerce leader.We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce network powers billions of transactions. In December 2022, Rokt's valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries.
The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.
At Rokt, we practice transparency in career paths and compensation.
At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt'stars constantly strive to raise the bar, pushing the envelope of what is possible.
We are looking for a Staff Applied Scientist/Machine Learning Engineer
Compensation: $235,000 - $300,000, employee equity plan grant & world class benefits.
As a Senior/Staff Machine Learning Engineer you are someone who has significant expertise in modeling, statistics and programming. You will be working with our engineering and product teams to design, build and productionize proprietary machine learning models to solve different business challenges including smart bidding, lookalike modeling, forecasting, and etc.
Responsibilities
Requirements
Benefits
About Rokt'stars:
As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock the full potential in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better.
About The Benefits:
We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:
We believe we're better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere.
If this sounds like a role you'd enjoy, apply here and you'll hear from our recruiting team.
#LI-Hybrid
The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.
At Rokt, we practice transparency in career paths and compensation.
At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt'stars constantly strive to raise the bar, pushing the envelope of what is possible.
We are looking for a Staff Applied Scientist/Machine Learning Engineer
Compensation: $235,000 - $300,000, employee equity plan grant & world class benefits.
As a Senior/Staff Machine Learning Engineer you are someone who has significant expertise in modeling, statistics and programming. You will be working with our engineering and product teams to design, build and productionize proprietary machine learning models to solve different business challenges including smart bidding, lookalike modeling, forecasting, and etc.
Responsibilities
- Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions.
- Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability, etc
- Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc.
- Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modeling ideas, and conduct offline and online experiments.
- Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices.
Requirements
- Bachelor's degree in Computer Science, a similar technical field of study or equivalent practical experience. A PhD degree in Machine Learning or Deep Learning is a massive plus.
- 5+ years in developing production-grade machine learning systems, preferably with applied ML in Ads, and 3+ years in software engineering with skills in Python, Golang, Java, or similar languages.
- Experience in the following areas - Bayesian methods, Reinforcement learning, Deep learning Architectures and Recommendation systems and if you have experience in ML for Ads or ecommerce it is a big plus.
- You excel in a dynamic, fast-paced setting, bringing a proven track record of meaningful contributions across teams, while effectively communicating ideas and learnings through collaborative discussions and presentations.
- Experience with Kubernetes, Kubeflow, TFX and Feature Store in a production environment is a massive plus
Benefits
About Rokt'stars:
As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock the full potential in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better.
About The Benefits:
We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:
- Accelerate your career. We offer roadmaps to leadership and an annual $5000 training allowance
- Become a shareholder. Every Rokt'star gets equity in the company
- Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!
- Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance for your entire family!
- Dog-friendly office
- Extra leave (bonus annual leave, sabbatical leave etc.)
- Work with the greatest talent in town
- See the world! We have offices in New York, Seattle, Sydney, Tokyo and London
We believe we're better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere.
If this sounds like a role you'd enjoy, apply here and you'll hear from our recruiting team.
#LI-Hybrid