Staff Machine Learning Engineer

betterhelpcom; United States; Remote; USD 170,000 - 245,000; Full time

Benefits offered by this job

Remote-first

San Jose trips

Performance bonus

Health coverage

401k match

Wellness benefits

Equipment allowance

Work-life balance

Job summary

BetterHelp is seeking a staff-level data/ML engineer to design, build, and productionize machine learning and optimization models powering personalization and matching for millions of users. You will collaborate with data scientists, engineers, and product managers to shape the ML platform direction.

You will lead end-to-end ML initiatives, develop scalable frameworks and tools for large-scale data processing, and mentor junior team members while advancing ML best practices and platform

Qualifications

• 6+ years of experience in machine learning.
• Proven track record deploying and integrating ML models into production systems.
• Strong expertise in deep learning, neural networks, statistical modeling, tree-based methods, boosting, regression, and dimensionality reduction.
• Extensive experience building personalization and recommendation systems.
• Working knowledge of operations research concepts including mathematical modeling, linear and integer programming, and discrete event simulation.
• Familiarity with large language models, fine-tuning methods, and reinforcement learning from human feedback (RLHF).
• Solid foundation in computer science fundamentals, advanced proficiency in Python and SQL, and strong written and verbal communication.

Responsibilities

• Design, prototype, and productionize scalable machine learning and optimization models end to end
• Develop frameworks, pipelines, libraries, utilities, and tools that process large-scale data for ML tasks
• Partner with data scientists to troubleshoot and optimize complex data pipelines and to deploy models into production
• Build and evolve a model deployment platform that simplifies rolling out new models
• Gather requirements from product and business partners and translate them into ML solutions
• Mentor junior data scientists and ML engineers and contribute to ML best practices and platform direction

Skills

ML experience

Deployment to prod

Deep learning

Personalization/rec sys

Operations research

RLHF familiarity

Python

SQL

Communication

Tools

PyTorch

TensorFlow

SQL tooling

Job description

Role overview

A staff-level position on a data team at a large online therapy service, focused on designing, building, and productionizing machine learning and optimization models that power personalization and matching for millions of users. The role partners closely with data scientists, data engineers, software engineers, and product managers to shape the ML platform direction.

Responsibilities

• Design, prototype, and productionize scalable machine learning and optimization models end to end


• Develop frameworks, pipelines, libraries, utilities, and tools that process large-scale data for ML tasks


• Partner with data scientists to troubleshoot and optimize complex data pipelines and to deploy models into production


• Build and evolve a model deployment platform that simplifies rolling out new models


• Gather requirements from product and business partners and translate them into ML solutions


• Mentor junior data scientists and ML engineers and contribute to ML best practices and platform direction

Requirements

• 6+ years of experience in machine learning


• Proven track record deploying and integrating ML models into production systems


• Strong expertise in deep learning, neural networks, statistical modeling, tree-based methods, boosting, regression, and dimensionality reduction


• Extensive experience building personalization and recommendation systems


• Working knowledge of operations research concepts including mathematical modeling, linear and integer programming, and discrete event simulation


• Familiarity with large language models, fine-tuning methods, and reinforcement learning from human feedback (RLHF)


• Solid foundation in computer science fundamentals, advanced proficiency in Python and SQL, and strong written and verbal communication

Benefits and work setup

• Remote-first with up to three annual trips to a San Jose, CA office plus one company-wide offsite, with travel expenses covered


• Base salary range of $170,000 to $245,000 plus eligibility for a performance bonus


• Medical, dental, and vision coverage and 401k with employer match


• Holistic perks program including free therapy and wellness offerings


• Choice of hardware and software tools to support productivity


• A team culture oriented around sustainable work-life balance