Member of Technical Staff (Machine Learning Engineer)
Reka AI · Remote
Frontier labremotesenior
At a glance
Highlights
- Translate cutting-edge research into production-ready ML systems at scale.
- Own end-to-end ML lifecycle from experimentation to deployment.
- Build models for image and video processing to power products.
What they offer
- 5 weeks of paid leave
- Comprehensive healthcare benefits including vision and dental
- Additional well-being perks
Ideal candidate
Research-minded ML engineer who loves turning cutting-edge ideas into real products and thrives iterating fast alongside top researchers in a mission-driven startup.
Requirements
- MS/PhD in Computer Science, Electrical Engineering, or related field
- Strong research experience with familiarity in top conferences (e.g., CVPR, ICCV, NeurIPS)
- 5+ years of experience in Python and proficiency in Java, C++, or Scala
- Strong understanding of diffusion models
- Strong understanding of multi-threading and memory management
- Solid knowledge of ML architectures: CNNs and Transformers
- Experience with PyTorch or TensorFlow
- Experience building end-to-end ML deployment and inference systems for low-latency, real-time applications
- Experience deploying ML models in cloud environments (AWS preferred)
- Experience with experiment tracking systems and ML workflows
- remote policy
- Remote-first, globally distributed team
- visa sponsorship
- Visa assistance, including H1B and OPT transfers, for US employees
Lab profile
About Reka AI
AI research lab building frontier multimodal models and physical-world intelligence for robotics and enterprise.
What they build
- Reka Core, Flash and Edge multimodal models
- Applied AI solutions for enterprise deployment
- Claru data marketplace for frontier and robotics labs
Known for
- Frontier multimodal model development
- Productionizing AI for real-world use
- Petabyte-scale data processing
- GPU performance engineering
Key facts
- Founded in 2022
- Headquartered in San Francisco
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