Senior Machine Learning Engineer

Bjak · Remote · United States ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior Machine Learning Engineer
  • Fully remote position
  • Python, PyTorch, JAX
  • Production ML systems
  • High talent density team

Actai aims to replace basic productivity tools with proactive, AI-native applications that require minimal prompting. The team focuses on high reliability for long-running workflows, persistent context, and real-world task completion.

As a Senior Member of Technical Staff, you will own critical ML subsystems end-to-end. You will design practical solutions for ambiguous problems and ship systems that operate reliably at scale, turning research ideas into production-ready features.

What you'll do

  • Build core ML systems for proactive, long-horizon AI products
  • Own the full lifecycle from data preparation to inference
  • Convert research concepts into reliable production systems
  • Debug model failures using real production signals
  • Iterate quickly by shipping, measuring, and refining outcomes
  • Mentor other ML engineers through technical judgment
  • Optimize for latency, cost, reliability, and safety constraints

What you'll need

  • Experience building and shipping ML systems for real users
  • Deep understanding of modern ML model behavior in production
  • Ability to write strong, production-quality code
  • Systems thinking approach rather than scripting mindset
  • Proven ability to work independently and drive projects to completion
  • Strong communication skills and capacity for rapid learning

Stack

  • Python
  • PyTorch
  • JAX
  • GPU-based training systems
  • GPU-based inference systems

How you'll work

  • Fully remote work environment
  • Small, high talent density team
  • Collective decision making process
  • Virtual meetings for interviews

Hiring process

  • Technical team evaluates initial applications
  • Three to four interviews maximum
  • Interviews conducted via virtual meetings or onsite
  • Prompt decision following final interview