Senior Machine Learning Engineer

• Posted 19 hours ago • Updated 19 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

🫥 Flibbertigibetting...

Job Details

Skills

FOCUS
Evaluation
Debugging
Research
Python
PyTorch
JAX
GPU
Scripting
Collaboration
Training
Mentorship
Machine Learning (ML)
Shipping
Expect
Value Engineering
Artificial Intelligence

Summary

{"description": " About the Role

A1 is building a proactive AI system that carries work forward across conversations, tools, and time.

As a Senior Member of Technical Staff, Machine Learning, you are an independent owner of critical ML subsystems in production. You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale.

This is a hands-on, high-impact role focused on depth.

Focus

Build core ML systems that power a proactive, long-horizon AI product.
Own work end-to-end: data preparation, training, evaluation, inference, and iteration.
Turn research ideas into working systems that run reliably in production.
Debug model failures and system issues using real production signals.
Iterate quickly: ship, measure outcomes, refine, and repeat.
Collaborate closely with research, product, and engineering to deliver real user impact.
Mentor and review work from other ML engineers through example and technical judgment.
Work under real production constraints: latency, cost, reliability, and safety

Tech Stack

Python
PyTorch / JAX
GPU-based training and inference systems

Ideal Experience

You have built and shipped ML systems used by real users.
You understand how modern ML models behave - and misbehave - in production.
You write strong, production-quality code and think in systems, not scripts.
You take ownership, work independently, and push work across the finish line.
You learn fast, communicate clearly, and improve through iteration.

Outcomes

ML models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.
Complex production issues are monitored, debugged, and resolved with minimal disruption.
Training, inference, and data pipelines are robust, scalable, and maintainable over time.
Drives measurable improvements in ML systems based on real-world signals and user feedback.
Provides mentorship and technical guidance to peers, raising the overall ML engineering standard.
Collaborates cross-functionally to ensure ML features integrate seamlessly into products and meet business goals.

How We Work

The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product

Interview process

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.", "salary_raw": null}

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90922487
Position Id: 24061027
Posted 19 hours ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Staff Machine Learning Engineer

Palo Alto, California

•

4d ago

About the Role A1 is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time. As Technical Lead, Machine Learning, you own the execution layer of A1's intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-

Full-time

Technical Lead, Machine Learning

Palo Alto, California

•

Yesterday

Full-time

Principal Machine Learning Engineer

Palo Alto, California

•

Today

{"description": " About the Role A1 is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time. As a Principal Machine Learning Engineer, you are a deep technical authority responsible for designing and evolving the most critical ML systems in the company. You operate across training, inference, evaluation, and infrastructure, solving the hardest architectural and performance problems. While Technical Leads may own execution

Full-time

Machine Learning Engineer

Menlo Park, California

•

Today

Machine Learning Engineer - ML Systems & Workflows We're looking for a Machine Learning Engineer to build and own end-to-end ML workflow systems, with a focus on enabling model training, fine-tuning (LLMs and beyond), evaluation, and iteration. This is a full-stack ML engineering role. You'll work across data, backend services, ML training workflows, and TypeScript UIs to help researchers and engineers run experiments, compare results, debug failures, and ship model improvements faster. What Y

Full-time

USD 70.00 - 90.00 per hour

Search all similar jobs