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Senior Machine Learning Engineer

bjakcareerUnited StatesActAI Engineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
28 Sept 2026
Status
Open · checked 7d ago

About this role

This Senior Machine Learning Engineer position at ACTAI in the United States suits professionals who want to own critical machine learning subsystems and build proactive AI applications for users globally. The role involves designing practical solutions for ambiguous problems and delivering systems that operate reliably at scale.

Role Overview

ACTAI seeks a Senior Member of Technical Staff, Machine Learning, to construct core machine learning systems for a proactive, long-horizon artificial intelligence product. The position operates within the United States on a full-time basis, focusing on building high-reliability solutions with persistent context and real-world task completion.

Key Responsibilities

Build core machine learning systems that power a proactive, long-horizon artificial intelligence product.
Own work completely from data preparation through training, evaluation, inference, and iteration.
Convert research concepts into functional systems that operate dependably in production environments.
Troubleshoot model failures and system defects utilizing real production telemetry and signals.
Iterate rapidly by deploying, measuring results, refining, and repeating the cycle.
Partner with research, product, and engineering teams to deliver tangible user impact.
Mentor and review the work of other machine learning engineers through technical judgment and example.
Operate within production boundaries including latency, cost, reliability, and safety.

Requirements

Experience building and deploying machine learning systems utilized by real users.
Comprehension of how modern machine learning models behave and misbehave in production.
Ability to write strong, production-quality code and think in systems rather than scripts.
Demonstrated ownership, independent work habits, and the ability to finalize projects.
Fast learning capabilities, clear communication, and a commitment to improvement through iteration.

Skills and Tools

Python
PyTorch
JAX
GPU-based training and inference systems

About the Company

ACTAI builds proactive applications designed for users worldwide who do not rely on complex prompting, bringing intelligence to conversations, errands, organizing, and workflows. The company focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion while reducing model hallucinations. Operating as a small, high-talent-density team, the organization makes collective decisions and moves rapidly.

How to Apply

Interested candidates should visit the official company careers page to submit their application.

Skills and tech stack

PythonPyTorchJAXGPU-based training and inference systemsMachine Learning

Questions candidates ask

What is the primary focus of the role?

The role focuses on building core machine learning systems that power a proactive, long-horizon artificial intelligence product, handling everything from data preparation and training to inference and production deployment.

What technical stack is used in this position?

The technical stack includes Python, PyTorch, JAX, and GPU-based training and inference systems.

What level of experience is required?

The candidate must have prior experience building and shipping machine learning systems used by real users, with the ability to write production-quality code and work independently.

What does the interview process look like?

The interview process consists of three to four interviews conducted via virtual meetings or onsite, evaluated by technical team members.

Ready to apply?

The application is on the official bjakcareer careers page.

Apply on company site