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
Senior Machine Learning Engineer
Senior Machine Learning Engineer
This job is no longer open
About the Senior Machine Learning Engineer at Headspace:
Headspace AI Engineering is a dynamic and innovative group whose mission is to enhance overall engineering capabilities for the purpose of improving efficiency, productivity, and impact of AI practitioners. In this team, you’ll be tasked with owning and delivering cutting edge platforms, frameworks, and services that power AI at Headspace. You’ll have the opportunity to lead the vision, alignment, development, deployment, and evangelization of these solutions, helping to bring Headspace to the forefront of AI and to realize its mission to improve health and happiness of the world. You’ll initially be building for top Data Scientists, but with the goal to also scale to engineers, analysts, and other AI enthusiasts, thereby helping to democratize AI at Headspace.
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:
- Drive significant technology initiatives end to end and across multiple layers of architecture and business
- Lead the development of complex, multi-component, scalable AI platforms and services
- Build continuous automated retraining framework for models in production to enable online learning
- Align design and technical decisions across internal organizations
- Provide technical leadership and be a role model for those pursuing technical career path in AI/ML engineering
- Increase internal and external company visibility in the AI community through open source, talks/presentations, etc.
What you’ve accomplished:
- MS or higher in Computer Science or a related field
- 4+ years of software engineering experience (with at least 2 years for large businesses or enterprises)
- 4+ years of experience with AI/ML technologies such as supervised, unsupervised machine learning, deep learning and reinforcement learning
- 3+ years of experience designing, developing, and maintaining complex distributed systems
- 3+ years of experience with distributed processing systems (Hadoop, Spark, Kafka, Kinesis, or HPC)
- 2+ years of experience with Cloud Infrastructure (preferably AWS)
- Strong experience in OO design and programming (strong proficiency in at least one of Java, Scala, Spark or Python)
- Proven track record of leading cross-team initiatives and driving initiatives end-to-end from inception to production
- Strong problem solving and communication skills and ability to influence across internal organizations
- Strong experience leading design and implementation of robust and highly scalable services
- Experience with distributed data storage systems (e.g. Vertica, HDFS, DynamoDB, Hive, Cassandra, etc)
- Experience with container and server-less technologies is also desired (e.g. Docker, Kubernetes)
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