Machine Learning Engineer (Temp)
Job type: Remote
01 to 03 months
Medium Level
Expired-
United States of America
United States of America Project detail
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.
This is a temporary, project-based role with the potential to transition to a permanent position after three months.
How your skills and passion will come to life at Headspace:
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- 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:
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- MS or higher in Computer Science or a related field
- 3+ years of software engineering experience (with at least 2 years for large businesses or enterprises)
- 2+ years of experience with AI/ML technologies such as supervised, unsupervised machine learning, deep learning and reinforcement learning
- 2+ years of experience designing, developing, and maintaining complex distributed systems
- 2+ 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 serverless technologies is also desired (e.g. Docker, Kubernetes)