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Platform Machine Learning Intern

BetterHelp

Mountain View, california


Job Details

Contract


Full Job Description

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service – providing affordable and convenient therapy in 210 countries and over 60 languages across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.

As a Platform ML Intern at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

What are we looking for?

We are looking for a Platform ML Intern to join the data team. BetterHelp intends to work on a series of interesting projects which is composed of batch (i.e. feature and machine learning pipelines), streaming (i.e. feature computation in real time), and online (i.e., microservices to serve different products) components. The successful candidate (and subsequently, the team) will be responsible for all of these components, as well as the underlying algorithms and evaluation methodologies.

As a Platform ML Intern on the team, you will design, build, and integrate scalable systems, platforms, and tools. You will assist Data Scientists in deploying their code into production. You will have a pivotal role in our organization and you will work closely with Data Engineers, Software Engineers, and Product Managers.

This is an exceptional opportunity for those who want to lead machine learning efforts and make an impact while working in one of the fastest growing businesses in the bay area. The ideal candidate will work closely with the senior ml/platform engineers and will have an important role in setting up the direction of the machine learning efforts.

What will you do?

  • Design, prototype and build machine learning systems, platforms, frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks
  • Translate data science prototypes into scalable production implementations
  • Establish pipelines to enable data scientists and software developers to automatically push their ML models into production
  • Maintain and contribute to the feature store and feature registry
  • Partner with data engineers to make sure the machine learning engineers and data scientists are supported
  • Build model deployment platform that can simplify implementing new models
  • Develop and maintain AWS-based infrastructure through Terraform
  • Implement and manage CI/CD pipelines (i.e. GitHub Actions) enabling seamless integration and continuous deployment of machine learning products and applications.
  • Partner with engineers to integrate various services and ensure smooth deployment of machine learning models into production using AWS tools such as SageMaker, Lambda, ECS, and ECR.
  • Design, prototype, and implement networking and infrastructure solutions that enhance the performance and reliability of BetterHelp's machine learning platform.
  • Build end-to-end reusable pipelines from data acquisition to model output delivery
  • Partner with data scientists to troubleshoot and optimize complex data pipelines

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 six times per year 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

  • Experience with data and/or backend engineering or equivalent
  • Experience designing, prototyping and deploying in distributed environments
  • Familiarity with CI/CD and deployment tooling
  • Experience with development environment and deployments using Docker
  • Fluent in git version control
  • Familiarity with release engineering and management
  • Familiarity with networking concepts
  • Experience integrating Machine Learning models in production (batch, streaming and online)
  • Fluent in Machine Learning algorithms
  • Expert in Python, Java, or Scala
  • Superb written and oral communication skills
  • Willingness to learn new technologies
  • Comfortable in a high-growth, fast-paced and agile environment
  • Strong knowledge of computer science fundamentals, including object oriented programming, data structures, and algorithms

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 with Data stores such as S3 and Snowflake

Benefits

  • Competitive salary
  • Remote work
  • Office in the heart of downtown Mountain View, a three-minute walk from Caltrain
  • The chance to build something that changes lives – and that people love
  • An awesome community of co-workers

The base salary range for this position is $40-$45/hr.

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.

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