Staff Machine Learning Engineer - Seattle, WA, United States - ROKT

Description

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.

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.

We are looking for a Staff Applied Scientist/Machine Learning Engineer
235,000 - $270,000, 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.

ResponsibilitiesCollaborate 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 and 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 modelling ideas, and conduct offline and online experiments.

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.

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; We value diversity, transparency and smart humble people who enjoy building a disruptive business together.

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 offer roadmaps to leadership and an annual $5000 training allowanceBecome a shareholder. Every Rokt'star gets equity in the companyEnjoy catered lunch every day and healthy snacks in the office.

Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance for your entire familyWe love spending time together and are in the office most days (teams are in the office 4 days per week).