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Rekavia Ashby

Member of Technical Staff (Machine Learning Engineer)

REMOTEPosted 2w ago
ML EngineerStaff+Full-time#ai-lab

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About the Role

What You’ll Do

- 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 (product, engineering, design) to deliver ML solutions at scale

- Participate with advancements in machine learning and apply them to continuously improve products

What We’re Looking For
Required Qualifications

- 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

Nice to Have

- Experience in low level optimisation, cuda etc.

- Experience productionizing and scaling ML models in real-world systems

- Contributions to open-source projects

- Experience with MLOps tools or distributed training systems

- Familiarity with relational databases (Postgres/MySQL)

- Experience handling large-scale data using tools like Spark
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