Member of Technical Staff (Machine Learning Engineer)

• Translate cutting-edge research into production-ready machine learning systems at a globally distributed foundation model startup headquartered in the San Francisco Bay Area. • Design, build, and deploy end-to-end ML models and pipelines with a focus on image and video processing. • Own the full ML lifecycle from experimentation, training, and fine-tuning through evaluation and deployment, collaborating with researchers and cross-functional teams to deliver ML solutions at scale.

• Hold an MS or PhD in Computer Science, Electrical Engineering, or a related field. • Have strong research experience with familiarity in top conferences such as CVPR, ICCV, and NeurIPS. • Bring 5+ years of experience in Python with proficiency in Java, C++, or Scala. • Have a strong understanding of diffusion models. • Have a strong understanding of multi-threading and memory management. • Have solid knowledge of ML architectures including CNNs and Transformers. • Have experience with PyTorch or TensorFlow. • Have experience building end-to-end ML deployment and inference systems, especially for low-latency, real-time applications. • Have experience deploying ML models in cloud environments with AWS preferred. • Have experience with experiment tracking systems and ML workflows.

• Have experience in low-level optimisation including CUDA. • Have experience productionising and scaling ML models in real-world systems. • Have contributions to open-source projects. • Have experience with MLOps tools or distributed training systems. • Have familiarity with relational databases such as PostgreSQL or MySQL. • Have experience handling large-scale data using tools like Spark.

• Translate cutting-edge research into production-ready machine learning systems. • Design, build, and deploy end-to-end ML models and pipelines. • Develop and optimise models for image and video processing. • Own the full ML lifecycle covering experimentation, training and fine-tuning, evaluation, and deployment. • Rapidly prototype using open-source models and adapt them for product needs. • Conduct experiments, analyse results, and iterate to improve performance. • Collaborate with researchers and cross-functional teams including product, engineering, and design to deliver ML solutions at scale. • Stay current with advancements in machine learning and apply them to continuously improve products.

• Work fully remotely as part of a globally distributed team. • Receive 5 weeks of paid leave. • Receive comprehensive healthcare benefits including vision and dental. • Receive visa assistance including H1B and OPT transfers for US employees. • Collaborate with top-tier engineers and researchers from organisations like Google DeepMind and Facebook AI Research. • Work in an inclusive and open culture that values diverse perspectives.

Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. A globally distributed foundation model startup headquartered in the San Francisco Bay Area, Reka embraces a remote-first approach with top talent from around the world. The founding team and many team members have contributed to many of the breakthroughs in AI over the past decade, with backgrounds at organisations like Google DeepMind and Facebook AI Research.