BetterHelp is hiring a

Senior/Staff ML Engineer

Job Overview

  • Posted 4 weeks ago
  • Full Time
  • USA
  • 175000

Roles & Responsibilities

Build custom ML, RL, and causal inference tools which enable the data scientists, product managers, and operations to make more informed decisions
Partner with the engineers to incorporate the ML models into production
Design, prototype, and productionalize scalable machine learning and optimization models
Play a critical role in setting up the best practices in machine learning, setting direction of the machine learning platform
Develop frameworks, pipelines, libraries, utilities, and tools that process massive data for ML tasks
Partner with data scientists to troubleshoot and optimize complex data pipelines
Work with product managers and business partners to gather requirements for machine learning models
Build model deployment platform that can simplify implementing new models
Build end-to-end reusable pipelines from data acquisition to model output delivery
Mentor and guide junior data scientists to deploy their models into production
Design & Build ML (engineering) solutions that unlock new ML modeling capabilities for BetterHelp

What will you NOT do?
You will NOT worry about “runway”, “cash left”, or “how much time we have until the next round”. We have the startup DNA but we’re fully backed and funded, all the way to success.
You will NOT be confined to your “job”. You will get involved in product, marketing, business strategy, and almost everything we do.
You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?
Yes. We operate in Pacific Time and candidates in any time zone are welcome to apply. We also ask our employees to travel to our Mountain View, CA office up to three times per year and to one company offsite to collaborate in person in order to build better working relationships and experience our in-office culture. Travel expenses will be covered and reasonable accommodations will be made for those under unique circumstances who cannot travel.

Requirements

3+ years of experience in machine learning
Experience integrating machine learning models in production
Expertise in deep learning, transformer and language models
Strong background in causal inference and optimization techniques
Sold background in machine learning model techniques
Strong knowledge of computer science fundamentals, including object oriented programming, data structures, and algorithms
Expert in Python and SQL
Expert in pandas, numpy, pytorch, keras, tensorflow, statsmodel, ray
Superb written and oral communication skills
Experience in writing data pipeline and machine learning libraries and utilities
Willingness to learn new technologies
Willingness to mentor junior ML engineers and data scientists
Comfortable in a high-growth, fast-paced, and agile environment
Ability to work in the US, to travel to our Mountain View, California offices up to three times per year and to an additional company offsite.

Bonus (Great to have, but not required)

M.S. or Ph.D. degree in computer science, computational science, computer engineering, operations research or equivalent
Experience in reinforcement learning
Experience working with AWS EMR, Sagemaker or other cloud based platforms
Experience with Data stores such as S3, Snowflake, and DynamoDB
Prior experience in production deployments on AWS Lambda, Fargate, EMR, or Airflow
Experience with development environment and deployments using Docker

Benefits

Competitive salary & compensation
Excellent health, dental, and vision coverage
401k benefits with employer matching contribution
Unrivaled perks program (including free therapy, UberEats, and more)
Remote work with regular in-person bonding experiences sponsored by the company
Office in the heart of downtown Mountain View, a three-minute walk from Caltrain
Commuter benefits, FSA accounts, and Employee Stock Purchase Programs
The chance to build something that changes lives – and that people love 
Any piece of hardware or software that will make you happy and productive
An awesome community of co-workers
The base salary range for this position is $175,000 – $235,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2024. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

Skills Required

  • Machine Learning
  • Python

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