Engineering Manager, Machine Learning, Ranking

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead and mentor a senior cohort of Data Scientists, Generalists, and Machine Learning Engineers.

• Foster career development, manage workload distribution, and create growth opportunities.

• Collaborate with Product Management and Decision Science to influence the product roadmap.

• Set metrics and define success criteria for marketplace balancing experiments.

• Assess daily technical tasks and ensure the efficient application of ML and AI technologies.

• Contribute a robust technical perspective in cross-departmental dialogues.

• Design, construct, and implement machine-learning pipelines to model jobseeker behavior and job marketplace dynamics.

• Track model performance for speed and accuracy.

• Take ownership of product lines, driving business value while ensuring team and technology-stack well-being.

• Mentor engineers and cultivate a culture of excellence, accountability, and professional development.

⛳️ Requirements

• Over 6 years of experience in a high-paced software development environment at scale.

• More than 2 years of experience in a leadership role within software engineering.

• Demonstrated background as a Machine Learning manager or as a Senior/Staff Data Scientist or MLE transitioning into a managerial role.

• Capability to evaluate technical value, communicate effectively with ML engineers, and assess the efficient use of AI.

• Excellent communication skills for collaboration with leadership, product, and data science teams.

• Extensive experience with ML algorithms, techniques, and industry best practices.

• Strong foundational knowledge in computer science, including data structures, algorithms, and programming skills.

• Familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn.

• Proficiency in Python over R.

• Knowledge of Java/Scala.

• Practical experience with embeddings and/or vectors using established tools, frameworks, and models.

• Ability to develop reproducible ML pipelines, including experiment tracking, data and model versioning, and environment management.

• Experience handling multiple iterations of the same product.

• Background in working on B2C or B2B products.

🏝️ Benefits

• Competitive salary.

• Comprehensive benefits package.

• Flexible vacation and paid time off.

• Employer-matched 401(k) plan.

• Potential for equity, bonuses, commissions, or other compensation forms as part of the overall package.

• Medical, financial, and additional benefits.