Headspace
San Francisco
201-500 employees
Making it our mission to improve the health & happiness of the world!
Other Open Roles
Prior Listings
- Principal Product Manager, Machine Learning & Data
- Senior Director, Machine Learning & Data Platform
- Data Analyst, Marketing
- Senior Data Engineer
- Financial Data Analyst
- Senior Data Scientist (Growth & Marketing)
- Principal Machine Learning Engineer
- Senior Data Scientist
- Senior Machine Learning Engineer
- Data Scientist
- Director, Data Analytics and Business Intelligence
- Senior Data Scientist
- Senior Director of Product, Infrastructure & Machine Learning
- Senior Manager, Data Analytics and BI (Product/Content)
- Lead Data Scientist
- Product Lead, Data Platform
- Lead Data Analyst, Membership
- Lead Marketing Analyst
- Senior Data Engineer
- Senior Data Analyst, Product and Content
Principal Machine Learning Engineer
Principal Machine Learning Engineer
This job is no longer open
About the Principal Machine Learning Engineer at Headspace:
We are looking for a highly technical and senior engineer to join our Machine Learning team. As a member of the Machine Learning team you will be responsible for architecting, planning and executing the team’s roadmap. As a principal engineer you will be expected to be the domain owner of all things Machine Learning at Headspace and provide mentorship to other engineers.
Location: This role is open to remote employees in select US states: California, New York, Florida, Georgia, Texas, Maryland + Washington DC, North Carolina and Washington.
How your skills and passion will come to life at Headspace:
- Design and develop high-volume, low-latency applications for mission-critical systems
- Write well designed, testable, performant, and efficient code
- Contribute in all phases of the development lifecycle
- Produce specifications and determine operational feasibility
- Work with product and engineering teams to release services and models that operate at high volume
- Architect a future looking Machine Learning deployment and feedback loop architecture
What you’ve accomplished:
- 10+ years of software engineering experience
- BS/MS degree in Computer Science or related experience
- Proven hands-on Software Development experience, especially API and microservices architecture
- Excellent communication skills, both written and verbal
- Java, Typescript, Python experience is a plus
- Experience with cloud ML platforms (AWS Sagemaker, Google AI Platform, Databricks MLFlow)
- Nice to Have:5+ years hands-on experience building, maintaining, performance tuning and deploying streaming ETL workflows to production environments using:Apache Spark (Spark Streaming from Redishift/Kinesis/S3, Spark MLlib, PySpark)
- Nice to Have: Designed and implemented event based architectures
How we feel about Diversity & Inclusion:
Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.
How to get started:
If you’re excited by the idea of seeing yourself in this role at Headspace, please apply with your CV and a cover letter that best expresses your interest and unique qualifications.
This job is no longer open