Senior ML Engineer: End-to-End Vision & Deployment

reka; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

5 weeks of paid leave

Healthcare benefits

Visa support

Job summary

Reka is seeking a senior ML engineer to translate research into production-grade machine learning systems. You will design and deploy end-to-end ML models for image and video processing, owning the full lifecycle from experimentation to deployment.

Collaborate with researchers and cross-functional teams to scale ML solutions, leveraging open-source models and cloud platforms. You should have a PhD or MS, deep knowledge of diffusion models and Transformers, and a track record of deploying

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).

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.

Skills

Research experience

Python

Java/C++/Scala

Diffusion models

CNNs & Transformers

PyTorch or TensorFlow

End-to-end ML deployment

AWS

Education

MS/PhD in CS/EE or related field

Tools

Git

CUDA

Job description

Reka is seeking a senior ML engineer to translate research into production-grade machine learning systems. You will design and deploy end-to-end ML models for image and video processing, owning the full lifecycle from experimentation to deployment.

Collaborate with researchers and cross-functional teams to scale ML solutions, leveraging open-source models and cloud platforms. You should have a PhD or MS, deep knowledge of diffusion models and Transformers, and a track record of deploying