Senior ML Engineer

Requirements

• PhD in Computer Science, Mathematics or related field, 5+ years of relevant industry experience
• Proven track record creating innovative solutions for problems in Computer Vision and deploying them as production-level systems in industrial environments
• Expert, hands-on knowledge of:
  • Deep learning techniques for supervised, semi-supervised and unsupervised learning
  • Reinforcement learning, imitation learning, and related frameworks
  • Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)
• Experience with working collaboratively with other developers, following a flexible/agile/lean approach

Nice to Haves

• Experience with architecting, scaling, securing and operating ML systems in the cloud (ideally AWS) at medium to large scale
• Experience with 3D Vision/Graphics

What You'll Be Doing

• Create and deliver production-ready, scalable and high-quality deep-learning models and associated algorithms for computer vision problems
• Critically assess the effectiveness of such models and make recommendations for the ongoing roadmap
• Methodically understand and assess the effectiveness of new data channels and support collection/creation of new ones

Perks and Benefits

• We pay 100% for benefits except for PMI (for dependents)
• Pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals
• Mental well-being program through Modern Health, providing free therapy and coaching for employees & dependents