5 months ago
Responsibilities
- Translate research into production-ready machine learning systems.
- Design, build, deploy, evaluate, and optimize end-to-end ML models and pipelines.
- Develop image and video processing models and adapt open-source models for product needs.
- Own experimentation, training and fine-tuning, evaluation, deployment, and inference workflows.
- Conduct experiments, analyze results, and improve model performance.
- Collaborate with research, product, engineering, and design teams to deliver ML solutions at scale.
Requirements
- Required: MS or PhD in Computer Science, Electrical Engineering, or a related field.
- Required: strong research experience and familiarity with conferences such as CVPR, ICCV, and NeurIPS.
- Required: 5+ years of Python experience and proficiency in Java, C++, or Scala.
- Required: understanding of diffusion models, multithreading, memory management, CNNs, and Transformers.
- Required: experience with PyTorch or TensorFlow and with end-to-end ML deployment and inference systems for low-latency, real-time applications.
- Required: experience deploying ML models in cloud environments, preferably AWS, and using experiment tracking systems and ML workflows.
- Preferred: low-level optimization and CUDA, productionizing and scaling ML models, open-source contributions, MLOps or distributed training, relational databases such as Postgres or MySQL, and large-scale data tools such as Spark.
Benefits
- Remote-first work environment with a globally distributed team.
- Five weeks of paid leave.
- Comprehensive healthcare benefits, including vision and dental.
- Visa assistance, including H1B and OPT transfers, for US employees.
- Collaborative, inclusive, and mission-driven work environment.
Tech Stack
Categories
About Reka
Reka is a privately held AI research and product company building multimodal foundation models and tools for organizations and businesses. Headquartered in Sunnyvale with a remote-first team, it offers products such as Reka Vision and Reka Edge, a 7B vision-language model. Founded by researchers from Google DeepMind and Meta’s FAIR, it also operates Claru, a data unit supplying licensed training datasets for physical and embodied AI.