Staff Machine Learning Engineer, CustomerLake (ML/LLM)
RDQ427R109
As one of the first engineers in the NYC Engineering office, you'll join a small, nimble team building new products from the ground up. We're building CustomerLake, the Customer Data Platform on the company, to bring enterprise‑grade ML and AI personalization to every company whose data already lives on the company. This is a true 0‑to‑1 environment, combining the excitement of a startup with the resources of a tech leader.
The impact you’ll have:
- Evaluate ML and LLM approaches for CustomerLake's personalization use cases, push the models and algorithms forward, and continuously improve quality over time
- Go deep on how models behave in production: inspect individual traces, understand how the models reason, and tune and improve from there
- Build the platform and evaluation framework that lets CustomerLake customers optimize for real business value such as purchases, retention, and product usage, not vanity metrics like email opens and clicks
- Push the team toward new directions and novel methods worth tackling, not just optimizing what already exists
- Partner closely with product management, engineering, and design to turn ambiguous customer problems into scalable, trustworthy solutions
- Set the technical foundation and best practices for our ML/AI personalization work as we grow this into several roles across our products over the next 1-2 years
What we look for:
- 10+ years of engineering experience, with a strong foundation across the full loop of shipping and improving ML/AI products
- Hands‑on experience building and evaluating ML models and/or LLM systems for real product or business use cases; your understanding is practical, not purely academic, and you can make models work well inside a product
- Experience with personalization based on customer behavior (ideal) or transactions (acceptable), such as recommendations, targeting, churn, or lifetime‑value modeling
- Proficiency in Python and modern ML frameworks (e.g., PyTorch), with hands‑on experience in model evaluation and monitoring AI quality in production
- Familiarity with LLMs and generative AI, including techniques like retrieval‑augmented generation (RAG), prompt design, fine‑tuning, and evaluation
- A demonstrated product mindset, with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback
- High ownership and bias for action in 0‑to‑1 environments: comfortable making pragmatic trade‑offs, operating with incomplete information, and driving projects from idea through launch and adoption
Nice to have:
- Experience in martech, ideally a go‑to‑market or business use case with an analytical (rather than purely transactional) angle
- An academic or research background that can help us innovate and develop novel methods
Pay Range: $192,000 – $260,000 USD
Benefits:
We strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit the benefits page.
Our Commitment to Diversity and Inclusion
We are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, or any other characteristic.
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