Machine Learning Engineer

Ladders
RemoteFull-time$150,000–$250,000Posted Sep 14, 2026

About the role

For our client, we are seeking a Machine Learning Engineer to join the team of a leader in the Information Technology space.

This role will partner closely with researchers to support experimental workflows and advance the quality of neural network models. The position is focused on evaluating model behavior, surfacing failure modes, and translating experimental findings into clear recommendations. It also requires strong coordination across concurrent workstreams, with thoughtful communication of progress and results to both technical collaborators and external parties.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $150,000 – $250,000 annually

Responsibilities

Collaborate with researchers using existing infrastructure

Characterize neural network quality and identify failure modes

Stay current on trends in research and technology

Coordinate with researchers and provide experiment status updates

Manage multiple concurrent experiments and estimate completion timelines

Review experimental results and propose improvements

Write technical reports for external parties summarizing results

Qualifications

Practical optimism in facing experimental challenges

Proficiency in Python

Ability to excel in a fast-paced environment

Strong communication skills for conveying technical concepts

Detail-oriented with introspection and thoughtfulness

Benefits

Competitive health insurance options

401K plan management

Free lunch and stocked kitchen in the South Bay office

Monthly wellness stipend and office setup allowance

Company retreats and additional perks as the company scales

Opportunity to tackle significant, impactful problems

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

Responsibilities

  • Collaborate with researchers using existing infrastructure
  • Characterize neural network quality and identify failure modes
  • Stay current on trends in research and technology
  • Coordinate with researchers and provide experiment status updates
  • Manage multiple concurrent experiments and estimate completion timelines
  • Review experimental results and propose improvements
  • Write technical reports for external parties summarizing results

Qualifications

  • Practical optimism in facing experimental challenges
  • Proficiency in Python
  • Ability to excel in a fast-paced environment
  • Strong communication skills for conveying technical concepts
  • Detail-oriented with introspection and thoughtfulness

Benefits

  • Competitive health insurance options
  • 401K plan management
  • Free lunch and stocked kitchen in the South Bay office
  • Monthly wellness stipend and office setup allowance
  • Company retreats and additional perks as the company scales
  • Opportunity to tackle significant, impactful problems

Skills mentioned

PythonMachine LearningDeep LearningNeural NetworksModel EvaluationData ScienceData AnalysisExploratory Data AnalysisStatistical AnalysisModel Monitoring

About Ladders

We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.

Technology51-200 employeesNew York

H-1B sponsorship history

Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.