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Principal Applied Scientist/Machine Learning Engineer

mParticle by Rokt is widely recognized as one of the leading customer data platforms, serving hundreds of global brands and helping them turn data to insights and insights to action. Built on top of end-to-end streaming architecture, we are committed to empowering businesses to deliver personalized and engaging experiences to their customers across all screens and devices. We believe that the opportunity to help teams activate insights from their customer data to deliver more relevant and adaptive experiences is more important than ever. In January 2025 mParticle merged with Rokt and became mParticle by Rokt. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions, connecting 400 million customers across the world’s leading companies.

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 mParticle by 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.

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 Principal Applied Scientist/Machine Learning Engineer

Target total compensation ranges from $515,000 - $650,000, including a fixed annual salary of $315,000 - $340,000, an employee equity plan grant, and world-class benefits. 

Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.

As a Principal Applied Scientist / Machine Learning Engineer, you bring deep expertise in machine learning and a strong track record of driving impact. You will work closely with engineering leaders and senior stakeholders to tackle complex relevancy challenges, taking projects from research to full-scale deployment. Your work will focus on designing, developing, and deploying proprietary machine learning models that power key business initiatives.

In this role, you will lead cutting-edge ML research and production deployment of high-impact models, advancing recommender systems, conversion optimization, user experience enhancement, and multi-task learning architectures.

This is a hands-on, individual contributor role for a seasoned expert who thrives in solving complex ML problems at scale. You will design and implement advanced ML architectures, ensuring they are robust, efficient, and impactful in a fast-paced, high-performance environment.

About the role:

  • Develop and implement machine learning models to solve high-impact business problems.
  • Design and optimize scalable ML pipelines and infrastructure for production environments.
  • Conduct applied ML research, prototype new modeling approaches, and rigorously test innovations.
  • Evaluate and improve model performance, ensuring robustness, scalability, and interpretability.
  • Translate complex business needs into practical ML solutions, collaborating with product and engineering teams.

Stay ahead of emerging ML trends, contributing to knowledge sharing through tech talks, brown bags, and best practice evangelism.

About You:

  • PhD or Master’s in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval.
  • 10+ years of industry experience building production-grade ML systems.
  • Deep expertise in at least two:
    • Reinforcement Learning (Bandits, Policy Optimization)
    • Multi-Task Learning & Mixture of Experts (MMOE, PLE, DCN)
    • Deep Learning Architectures (Transformers, Graph Neural Networks)
    • Bayesian Methods & Probabilistic Modeling
    • ML for Ads, E-commerce, or Two-Sided Marketplaces (big plus!)
  • Proven ability to drive impact across multiple teams and organizations.

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, ESMM, xDeepFM, and GDCN.s

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. 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! 
  • Extra leave (bonus annual leave, sabbatical leave etc.) 
  • 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.

If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

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Average salary estimate

$582500 / YEARLY (est.)
min
max
$515000K
$650000K

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What You Should Know About Principal Applied Scientist/Machine Learning Engineer, Rokt

Join Rokt as a Principal Applied Scientist/Machine Learning Engineer and take your career to the next level! At mParticle by Rokt, we're at the forefront of customer data platforms, helping leading global brands harness the power of data. In this innovative role, you will leverage your deep expertise in machine learning to design and deploy cutting-edge ML models that directly influence business operations and enhance customer experiences. You'll collaborate with engineering leaders and senior stakeholders, tackling complex relevancy challenges, and bringing projects from concept through to full-scale deployment. With a focus on creating robust ML architectures and optimizing scalable pipelines, your insights will drive key business initiatives and improve conversion rates. You'll not only conduct applied research but also transform intricate business needs into practical ML solutions, while mentoring fellow engineers and sharing your knowledge through tech talks and best practice sessions. If you thrive on solving complex problems and have a passion for pioneering advancements in ML, then this is the perfect opportunity for you. Enjoy a dynamic work environment with opportunities for inclusivity, flexibility, and career growth, coupled with a competitive compensation package. We can't wait for you to join our team of Rokt'stars!

Frequently Asked Questions (FAQs) for Principal Applied Scientist/Machine Learning Engineer Role at Rokt
What are the main responsibilities of a Principal Applied Scientist/Machine Learning Engineer at Rokt?

As a Principal Applied Scientist/Machine Learning Engineer at Rokt, you will be responsible for developing and implementing machine learning models to address high-impact business problems. This includes designing scalable ML pipelines, conducting applied ML research, and collaborating with product and engineering teams to translate complex business needs into effective machine learning solutions.

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What qualifications are required for the Principal Applied Scientist/Machine Learning Engineer position at Rokt?

Candidates for the Principal Applied Scientist/Machine Learning Engineer position at Rokt should possess a PhD or Master’s in Computer Science, Statistics, Mathematics, or a related field, with specialization in machine learning, AI, or information retrieval. Additionally, 10+ years of industry experience in building production-grade ML systems is required, along with deep expertise in various ML methodologies.

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How does Rokt support the career development of a Principal Applied Scientist/Machine Learning Engineer?

Rokt emphasizes transparency in career paths and compensation, providing clear roadmaps to leadership and annual training allowances. Principals in this role have the opportunity to mentor team members, lead research initiatives, and drive impactful projects, all while growing alongside a supportive and diverse team.

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What kind of technologies will a Principal Applied Scientist/Machine Learning Engineer work with at Rokt?

At Rokt, a Principal Applied Scientist/Machine Learning Engineer will work with advanced technologies in machine learning, including reinforcement learning, deep learning architectures, and probabilistic modeling. You will also have the chance to engage with innovative projects that drive real-time relevance in ecommerce.

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What is the compensation structure for the Principal Applied Scientist/Machine Learning Engineer role at Rokt?

The target total compensation for the Principal Applied Scientist/Machine Learning Engineer role at Rokt ranges from $515,000 to $650,000, which includes a competitive fixed annual salary of $315,000 to $340,000, employee equity plan grants, and comprehensive benefits.

Join Rise to see the full answer
Common Interview Questions for Principal Applied Scientist/Machine Learning Engineer
Can you describe your experience with deploying machine learning models in a production environment?

In answering this question, detail your past experiences in taking ML models from research to deployment, highlighting specific projects where your models achieved significant business impacts. Emphasize your hands-on approach and how you ensured the robustness and reliability of the models in production.

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What methodologies have you used for optimizing ML models, particularly in terms of performance and scalability?

Discuss the methodologies you have employed, such as hyperparameter tuning, ensembling, or advanced optimization algorithms, and provide examples of how these have improved the performance and scalability of your ML models in real-world scenarios.

Join Rise to see the full answer
How do you keep up with emerging trends in machine learning and apply them to your work?

Highlight your commitment to continuous learning through attending workshops, reading research papers, and participating in tech talks or meetups. Share specific instances where you integrated emerging ML techniques into your projects to enhance their effectiveness.

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Describe a complex machine learning problem you have solved. What was your approach?

Provide a vivid description of a challenging problem you faced, outlining your approach from understanding the business requirements to the solution implementation. Emphasize collaboration with stakeholders and the impact of your solution on the organization’s objectives.

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What experience do you have with deep learning architectures, particularly in ecommerce applications?

Discuss specific deep learning architectures you have worked with, like neural networks or transformers, and how you have applied these to ecommerce scenarios such as recommendation systems or customer segmentation, detailing the results achieved.

Join Rise to see the full answer
How do you ensure the interpretability of machine learning models?

Articulate your strategies for making ML models interpretable, such as using model-agnostic tools like SHAP or LIME, and discuss how you balance model performance with the need for it to be comprehensible to stakeholders.

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Can you explain how you have handled collaboration with cross-functional teams?

Provide examples of your experience working with product managers, engineers, and analysts. Highlight your communication strategies and how you facilitate understanding and cooperation across disciplines to achieve shared goals.

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What challenges have you faced when implementing ML models at scale? How did you overcome them?

Discuss specific scalability challenges you encountered and the methodologies you implemented to address them, such as using cloud services for scalable ML infrastructure or optimizing existing systems for better performance.

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What role do you think data quality plays in the success of machine learning models?

Express your insights on data quality, discussing how robust data preprocessing, validation, and cleansing techniques have impacted the success of your previous ML models, and emphasize the importance of high-quality data for optimal outcomes.

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How do you measure the success of a machine learning initiative?

Describe the key performance indicators (KPIs) you use to evaluate the success of ML projects, such as accuracy, precision, recall, or business impact metrics, and provide examples of past initiatives where these metrics played a crucial role.

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We are a growing team of 400+ passionate Rokt’stars intent on unleashing a world of possibilities through relevancy in ecommerce. 10 years ago, Rokt set out to solve a difficult challenge: eliminating the paradox of choice in the transaction mome...

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CULTURE VALUES
Inclusive & Diverse
Diversity of Opinions
Mission Driven
Rapid Growth
Passion for Exploration
Dare to be Different
Friends Outside of Work
Customer-Centric
Take Risks
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 21, 2025

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