Engineering Manager, Machine Learning, Ranking

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. Lead and support a senior team of Data Scientists, Generalists, and Machine Learning Engineers .

Posted 11/4/2026full-timeRemote • United StatesMid-LevelSenior💰 $200,000 - $265,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science and machine learning teams, with a strong focus on developing talent and driving business value through effective product management and technical execution. Proficient in building and deploying machine learning pipelines while ensuring model performance and team health.

Highest-signal resume keywords

Machine Learning ManagementTeam LeadershipPython ProgrammingML Frameworks (TensorFlow, PyTorch, Scikit-learn)Data Structures and Algorithms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsML Pipeline DevelopmentModel Performance MonitoringExperiment TrackingData VersioningModel VersioningJava ProgrammingScala ProgrammingApplied EmbeddingsTechnical Evaluation

Soft Skills

Strong CommunicationCollaborationCoachingWorkload BalancingCulture Building

Industry Keywords

B2C ProductB2B ProductProduct RoadmapMarketplace BalancingTechnical Voice

Tech Stack

Tools & technologies

JavaPythonPyTorchScalaScikit-LearnTensorflow

About the role

Key responsibilities & impact

Lead and support a senior team of Data Scientists, Generalists, and Machine Learning Engineers
Drive career development, workload balancing, and growth opportunities
Partner with Product Management and Decision Science to shape the product roadmap
Define metrics and establish success criteria for marketplace balancing tests
Evaluate day-to-day technical work and ensure effective use of ML and AI
Provide a strong technical voice in cross-functional discussions
Design, build, and deploy machine-learning pipelines modeling jobseeker behavior and job marketplace dynamics
Monitor model performance for speed and accuracy
Own product lines and drive business value while maintaining team and technology-stack health
Coach engineers and build a culture of excellence, ownership, and professional growth

Requirements

What you’ll need

6+ years of experience in a fast-paced software development environment at scale
2+ years of experience as a software engineering leader
Proven experience as an experienced Machine Learning manager or as a Senior/Staff Data Scientist or MLE transitioning into management
Ability to assess technical value, speak the language of ML engineers, and evaluate effective AI use
Strong communication skills to collaborate with leadership, product, and data science teams
Deep experience with ML algorithms, techniques, and best practices
Strong computer science fundamentals, including data structures, algorithms, and coding skills
Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Python instead of R
Java/Scala
Applied experience with embeddings and/or vectors using established tools, frameworks, and models
Ability to build reproducible ML pipelines, including experiment tracking, data and model versioning, and environment management
Experience working through multiple versions of the same product
Experience working on a B2C or B2B product

Benefits

Comp & perks

Competitive compensation
Exceptional benefits package
Flexible Vacation & Paid Time Off
Employer-matched 401(k) plan
Potential equity, bonuses, commission, or other forms of compensation as part of total compensation package
Medical, financial, and other benefits