Senior Machine Learning Engineer

Sarsfield Group; United States; Remote; USD 160,000 - 245,000; Full time

Benefits offered by this job

Health and Dental

401(k) matching

Equity

Job summary

Sarsfield Group is seeking a Senior Member of Technical Staff, Machine Learning, to own critical ML subsystems in production. You will build and maintain end-to-end ML pipelines, from data prep to inference, ensuring reliable performance at scale.

You will collaborate with research, product, and engineering to turn ideas into deployed systems, diagnose production issues, and drive measurable user impact while mentoring peers and navigating real-world constraints.

Qualifications

• Strong production-quality ML code
• Ownership and independence in projects
• Experience with production latency and reliability

Responsibilities

• Own ML subsystems in production end-to-end
• Handle data preparation, training, evaluation, inference, and iteration
• Collaborate with research, product, and engineering to deliver real user impact
• Mentor and review work from other ML engineers
• Operate under production constraints: latency, cost, reliability, and safety

Skills

Python

PyTorch

JAX

GPU training

Job description

Founded in 2019, we’re the leading insurance platform in Southeast Asia, helping millions of people find the best-value coverage online. Now we’re expanding into saving, investing, spending and more, all with one goal: helping people get more from their money every day. Join our diverse, global team and help make financial services simpler for everyone.

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they’re not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.

Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations.

Our objective is to organise anyone’s life, allowing us all to spend time on valuable and meaningful things.

About the Role

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

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

Compensation:

US: $160,000 – $245,000 USD

CAD: $140,000 – $215,000 CAD

US: Health and Dental, Life insurance, 401(k) matching, and equity

Canada: Health and Dental, Life Insurance, equity