Staff Machine Learning Engineer
LaddersAbout the role
For our client, we are seeking a Staff Machine Learning Engineer to join the team of a leader in the Telecommunications & Hardware space.
This role will play a key part in advancing machine learning capabilities that support high-traffic, real-time matching and prediction systems. You will partner closely with Engineering and Product leadership to shape the ML strategy, improve candidate-to-opportunity relevance, and strengthen the performance of core marketplace experiences. The ideal candidate brings deep production ML experience, strong technical leadership, and a track record of building scalable systems that deliver measurable business impact.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $205,000 – $265,000 annually
Responsibilities
Drive the ML strategy and roadmap by collaborating with Engineering and Product Leadership.
Design and own scalable ML systems for dynamic interaction prediction and candidate/job retrieval.
Solve complex matching challenges in two-sided marketplaces, focusing on real-time intent prediction.
Lead by mentoring ML Engineers and Data Scientists, promoting technical excellence across the organization.
Manage end-to-end model ownership from feature engineering to real-time latency optimization.
Qualifications
8+ years of experience in large-scale production ML model development and deployment.
Proven track record of architecting end-to-end ML solutions for high traffic environments.
Expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or Interaction Prediction.
Strong software engineering skills with modern deep learning frameworks, including PyTorch and TensorFlow.
Experience in technical leadership and mentoring across engineering and product teams.
Solid background in statistical modeling and online experimentation, including A/B testing.
Benefits
Competitive compensation
Exceptional benefits package
Flexible vacation and paid time off
Employer-matched 401(k) plan
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
- Drive the ML strategy and roadmap by collaborating with Engineering and Product Leadership
- Design and own scalable ML systems for dynamic interaction prediction and candidate/job retrieval
- Solve complex matching challenges in two-sided marketplaces, focusing on real-time intent prediction
- Lead by mentoring ML Engineers and Data Scientists, promoting technical excellence across the organization
- Manage end-to-end model ownership from feature engineering to real-time latency optimization
Qualifications
- 8+ years of experience in large-scale production ML model development and deployment
- Proven track record of architecting end-to-end ML solutions for high traffic environments
- Expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or Interaction Prediction
- Strong software engineering skills with modern deep learning frameworks, including PyTorch and TensorFlow
- Experience in technical leadership and mentoring across engineering and product teams
- Solid background in statistical modeling and online experimentation, including A/B testing
Benefits
- Competitive compensation
- Exceptional benefits package
- Flexible vacation and paid time off
- Employer-matched 401(k) plan
Skills mentioned
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.
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.