Related skills
azure aws python google cloud machine learningπ Description
- Lead as a thought leader to guide innovation and AI adoption across Axon.
- Grow and lead ML platform engineers delivering AI in cloud and edge.
- Collaborate to design data ingestion and model training pipelines.
- Introduce distributed architectures for high-throughput ML and low-latency hosting.
- Build an inclusive team culture focused on ownership and innovation with product teams.
π― Requirements
- Bachelor's Degree in Computer Science, Engineering, Physics, Mathematics or equivalent
- 10+ years of software engineering and low-latency systems experience
- 6+ years in leadership/management leading engineering teams
- Fluency in Scala (or Java) and Python ML workflows
- Designed and built scalable, high-throughput ML pipelines (streaming/batch)
- Advanced knowledge with AWS, Azure and Google Cloud
- Strong problem solving and system architecture, metrics, deployments
- Excellent communication with scientists, engineers and product managers
π Benefits
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Learning & Development programs
- Employee Resource Groups (ERGs)
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest β finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!