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← BetterHelp

Staff Machine Learning Engineer

BetterHelp
Location
US - Remote
Posted
17 days ago
Department
Data Science & Analytics
Salary
$170,000 - $245,000
What they actually want (must-haves)
  • 6+ years of experience in machine learning
  • Proven experience deploying and integrating machine learning models into production systems
  • Strong expertise in machine learning techniques, including 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 such as 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)
What the job really is

As a Staff Machine Learning Engineer at BetterHelp, you will design and build scalable machine learning and optimization models to enhance the company's products and improve user outcomes. You will collaborate with data scientists, engineers, and product managers, mentor junior team members, and establish best practices for machine learning within the organization. This role offers the opportunity to lead ML initiatives and make a significant impact in a mission-driven environment focused on mental health care accessibility.

Benefits
  • Remote work with regular in-person bonding experiences sponsored by the company
  • Competitive compensation
  • Holistic perks program (including free therapy, employee wellness, and more)
  • Excellent health, dental, and vision coverage
  • 401k benefits with employer matching contribution
  • The chance to build something that changes lives – and that people love
Things to weigh
  • Base salary range is $170,000 - $245,000, with additional performance bonus and extensive benefits, but total compensation varies based on multiple factors
  • Remote work requires occasional travel to the San Jose office, up to three times a year plus one company-wide offsite
  • The role involves a high degree of collaboration across various functions, which may appeal to those looking for a diverse work experience
Job score4.6/5
Benefits4/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency5/5

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