Thrive is a leading behavior change technology company founded by Arianna Huffington in 2016 with the mission to end the stress and burnout epidemic. Thrive helps individuals and organizations improve well-being, performance and mental resilience with its AI-powered behavior change technology platform. Thrive’s Microsteps – small, science-backed steps to improve health and productivity – have been adopted by employees at more than 125 organizations in over 140 countries, from frontline and call center workers to executives at multinational companies.

As a machine learning engineer at Thrive, you will be a foundational architect and developer of an AI platform for a high-growth startup. That platform must handle a variety of sources, including but not limited to streams from clicks, taps, content and more. Similarly, a mixture of data consumers are on the output side of the data platform. In addition to the executive suite and business analysts, you will be developing the system underlying Thrive’s data science efforts which, ultimately, feed back into the product for our end users. This challenge will exercise the entire range of your skillset as an engineer—which includes not only programming, but also the ability to gather requirements from stakeholders across the business to create a machine learning engineering roadmap as we are all product owners here at Thrive.

If you’re not sure that you’re 100% qualified, but this sounds like a role you would Thrive in – we want you to apply! We believe skills are transferable and passion for our mission goes a long way.

This role is open to Senior engineers and above, Staff / Principal variants exist for the right candidates.

Who You Are:

• A self-starter who enjoys taking initiative 
• Someone who thrives in a fast-paced environment, is flexible, and has high energy to get work done
• Someone with a passion for changing the way people work and live with demonstrated interest in topics like well-being, productivity, neuroscience, behavioral sciences, and performance

How You'll Contribute:

• Partner closely across the data, platform, and product engineering teams to train models to solve product problems and productionize data science and machine learning artifacts.
• Contribute scalable solutions across various serving stacks at the machine learning service and application layers.
• Design and implement end-to-end data pipelines and data systems that support MLOps and business processes.
• Build and help set direction for ML infrastructure, such as feature construction patterns, data and model monitoring, online & offline scoring systems, and model usage patterns.
• Develop high-quality communication devices, such as dashboards, notebooks, documents, and presentations, to effectively convey insights to a broad audience.
• Define and advance our technical approach to scalable machine learning.

Must Haves:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience.
• 5+ years of experience building systems in a Machine learning Engineering role; experience within a start-up environment is preferred.
• Hands-on experience building data processing platforms in a cloud environment ( Azure, or GCP), as well as the pipelines built on top of them.
• Extensive experience with Python for data science and machine learning software development e.g. Flask, FastAPI, Docker.
• Comfortability with data warehouses and transformation tools such as BigQuery, dbt, Dagster.
• Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data.
• Professionalism around collaborating in a remote working environment and well tested, reproducible work.
• Exceptional documentation and communication skills.

What We Offer:

• Being part of a mission-driven company that’s truly making a difference in the lives of people around the world  
• Ability to develop within the company and shape our growth strategy
• A human-centric culture with a range of wellness perks and benefits
• A competitive compensation package
• Medical, dental and vision coverage + 401k program with company match
• Generous paid time-off programs

_{Thrive is deeply committed to creating a safe and welcoming work environment free of discrimination and harassment so that all employees can bring their whole selves to work.}

_{Thrive is proud to ensure equal employment opportunity (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, gender identity, gender expression, sexual orientation, age, marital status, family or parental status, veteran status, or any other characteristic protected by applicable federal, state or local law.}

_{Thrive is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. Please inform Thrive’s Recruiting team if you need any assistance completing any forms or to otherwise participate in the application process.}