Senior/Staff ML Engineer

March 21

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BetterHelp

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BetterHelp har indgående kendskab til de problemstillinger, der kan opstå i forbindelse med modtagelse af handicaphjælp og er dermed altid på forkant med situationen og hurtige til at løse eventuelle udfordringer$1. .$1

Administration af BPA ordninger • Rådgivning om BPA ordninger • Rekruttering af handicaphjælpere

2 - 10

Description

• 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

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 • Solid 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. • M.S. or Ph.D. degree in computer science, computational science, computer engineering, operations research or equivalent (Great to have, but not required) • Experience in reinforcement learning (Great to have, but not required) • Experience working with AWS EMR, Sagemaker or other cloud based platforms (Great to have, but not required) • Experience with Data stores such as S3, Snowflake, and DynamoDB (Great to have, but not required) • Prior experience in production deployments on AWS Lambda, Fargate, EMR, or Airflow (Great to have, but not required) • Experience with development environment and deployments using Docker (Great to have, but not required)

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