Member of Technical Staff (Machine Learning Engineer)
Remote • Remote • FullTime
Posted 4mo ago
Job Location
Remote
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Reka is a foundation model startup building useful multimodal artificial intelligence to empower organizations and businesses. We are a globally distributed team headquartered in the San Francisco Bay Area, embracing a remote-first approach. Our mission is to advance AI for meaningful applications, and we are looking for a talented Machine Learning Engineer to join our elite team. You will translate cutting-edge research into production-ready machine learning systems, design, build, and deploy end-to-end ML models and pipelines, and own the full ML lifecycle from experimentation to deployment. This role offers a massive market opportunity within a rapidly growing industry, allowing you to make a significant impact.
Responsibilities
- Translate cutting-edge research into production-ready machine learning systems
- Design, build, and deploy end-to-end ML models and pipelines
- Develop and optimize models for image and video processing
- Own the full ML lifecycle: experimentation, training/fine-tuning, evaluation, and deployment
- Rapidly prototype using open-source models and adapt them for product needs
- Conduct experiments, analyze results, and iterate to improve performance
- Collaborate with researchers and cross-functional teams to deliver ML solutions at scale
- Participate in advancements in machine learning and apply them to continuously improve products
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, especially for low-latency, real-time applications
- Experience deploying ML models in cloud environments (AWS preferred)
- Experience with experiment tracking systems and ML workflows
Benefits
- 5 weeks of paid leave
- Comprehensive healthcare benefits including vision and dental
- Visa assistance, including H1B and OPT transfers, for US employees