Machine Learning Engineer

In this role, you will

Explore and experiment with state‑of‑the‑art AI models and machine learning techniques, contributing to core product features powered by ML.

Own projects end‑to‑end – from understanding problem requirements and designing experiments to building prototypes, iterating, and helping bring them into production.

Collaborate with product, design, and engineering teams to translate user needs into ML‑powered solutions.

Dive deep into data, building an understanding of how to measure model performance and improve real‑world outcomes.

Stay curious and up to date with emerging ML research, applying learnings to improve our product and stack.

Contribute to a culture of rapid experimentation, balancing scrappy prototypes with thoughtful iteration.

Learn from senior engineers, while taking initiative to independently explore new approaches and technologies.

Bring a strong ownership mentality – driving projects forward, unblocking yourself, and pushing ideas from concept to execution.

You may be a good fit if

Experience : 1+ internship or project‑based experiences in ML, applied AI, or data science. (Full‑time professional ML experience not required.)

Technical skills : Familiarity with Python, ML frameworks (such as PyTorch or TensorFlow), and basic data processing workflows. Exposure to large language models or generative AI is a plus.

Product focus : Excited to see how ML can directly improve user‑facing experiences, not just research for its own sake.

Ownership mindset : Hungry to take responsibility, follow through on projects, and grow into increasing levels of independence.

Learning‑first attitude : Eager to deepen your expertise in ML techniques, model deployment, and AI systems while building real‑world products.

Collaboration : Comfortable working closely with engineers, PMs, and designers to co‑create solutions.

Adaptability : Thrives in a fast‑paced environment with shifting priorities, and welcomes feedback as a way to accelerate growth.

Inclusive mindset : Values diversity of thought, seeks input from others, and contributes to a supportive, collaborative team culture.

Our stack

Core : Monorepo

TypeScript

Turbo

Bun

Biome

Frontend : Next.js

Redux

Radix

Auth0

Backend : NestJS

Prisma

Postgres

Infrastructure : AWS

CDK

Vercel

Dev Tools : Cursor

Claude

Graphite

GitHub

Loom

Linear

About ProductNow

Today’s product teams are buried in coordination overhead, rewriting the same information across tools, decks, and stand‑ups. ProductNow eliminates that friction by introducing AI teammates that augment synthesis, drafting, alignment, and execution across your existing workflows.

We’re creating a world where humans and AI collaborate effortlessly to build what’s next. ProductNow enables enterprise teams to operate as a unified system of outcomes, free from coordination chaos and powered by intelligence, alignment, and purpose.

We focus on the collaborative, multiplayer nature of work, building for teams to align and move together, not just for individuals to move faster. We understand that real organizational efficiency comes from reducing coordination overhead, unlocking the true potential of teams.

With enterprise‑grade security and adaptive intelligence, ProductNow helps organizations multiply growth, embed best practices into every workflow, and stay fully compliant, driving a new system of outcomes through seamless collaboration between humans and intelligent agents.

Logistics

Education : Bachelor’s degree in a related field, or equivalent practical experience.

Location : Hybrid — we’re in the office in Palo Alto, CA near the Caltrain station from Tuesday to Thursday, with Mondays and Fridays remote.

Visa : At this time, we are unable to sponsor new visas, but we encourage you to check back soon, as this may change.

Inclusivity : We encourage you to apply even if you don’t meet every single qualification. We prioritize strong working relationships, mentorship, and giving people opportunities to grow, especially with today’s rapidly evolving AI tools. Diversity is at the heart of our engineering team, and we know you’ll feel that when you meet us.

How We’re Different

Experienced leadership : Our leaders and advisors have lived this problem for over 20 years inside some of the world’s largest institutions. They bring both maturity and a proven understanding of how to create and maintain an efficient, professional work environment.

Cutting‑edge engineering : Our team pairs deep, modern AI expertise with imaginative thinking to design alignment‑focused systems that feel fresh and forward‑looking.

Strong distribution : We have access to diverse channels that allow us to reach the right customers quickly and effectively.

Defensible strategy : Our execution strategy is solid and validated, built to withstand competition from big labs, big tech, and other startups. With unique insights into how the underlying systems and processes work, we’re positioned to create experiences that are not just functional, but truly delightful.

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