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Senior Machine Learning Engineer

副歴

New York (NY)

On-site

USD 200,000 - 285,000

Full time

3 days ago
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Job summary

A leading company in ecommerce is seeking a Senior Machine Learning Engineer to design, build, and productionise ML models, enhancing business capabilities with real-time data solutions. With competitive compensation including equity and comprehensive benefits, this role is perfect for an engineer looking to apply their expertise in a dynamic and innovative environment.

Benefits

Career development roadmaps and training allowance
Employee equity ownership
Catered lunch and healthy snacks
Generous retirement plans with 401K matching
Dog-friendly office
Extra leave options
Collaboration with top talent
Flexible work-from-anywhere policy

Qualifications

  • 3+ years of industry experience in building production-grade machine learning systems.
  • Expertise in all aspects of model training, tuning, deploying, and monitoring.
  • Good knowledge in Bayesian methods, Recommender systems, and related ML techniques.

Responsibilities

  • Build and productionise machine learning models and data pipelines.
  • Contribute to maintaining a high-quality code base with extensive testing.
  • Collaborate with product managers to frame ML problems and solutions.

Skills

Machine Learning
Software Engineering
AWS
TensorFlow
Machine Learning Models

Education

Masters or PhD in Machine Learning

Tools

Kubeflow

Job description

We are Rokt, a hyper-growth ecommerce leader.

Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers and is trusted to do this by the world’s leading companies.

We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.


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 understand consumers better. Our bespoke platform handles millions of transactions per day. It 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 Senior Machine Learning Engineer

Target Total Compensation: $300,000 - $435,000, including a fixed annual salary of $200,000 - $285,000, employee equity grant, and world-class benefits.

As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, budget pacing, lookalike modelling, and more.

What You’ll Do

  • Build and productionise 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 the 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.
  • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions.
  • Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices.

About You:

  • Masters or PhD in Machine Learning
  • 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring
  • Good Knowledge in AWS, Kubeflow (or similar), Tensorflow and Feature Store in a production environment.
  • Good knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling
  • Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned in this benchmark: DCNV2, MMOE, Deep & Wide and ESMM

About Rokt’stars:

As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy 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 training allowance
  • Become a shareholder. Every Rokt’star gets equity in the company
  • Enjoy catered lunch every day and healthy snacks in the office.
  • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents.
  • 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.

We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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