Reka
Technology
MemberofTechnicalStaff(MachineLearningEngineer)
Neural analysis suggests this role is
optimal for Senior candidates.
“Member of Technical Staff (Machine Learning Engineer) at Reka. Skills: Machine Learning, MLOps, Deep Learning, Computer Vision. Translate research into ML systems. Design ML models and pipelines”
Industry & Context.
Root cause analysis; Debugging; Troubleshooting
What They're Looking For.
Must Have
MS/PhD in Computer Science, 5+ years of experience in Python, Proficiency in Java, C++, or Scala, Understanding of diffusion models, Understanding of multi-threading, Understanding of memory management, Solid knowledge of ML architectures, Experience with PyTorch or TensorFlow, Experience building end-to-end ML deployment, Experience deploying ML models in cloud environments, Experience with experiment tracking systems, Experience with ML workflows
Nice to Have
Experience in low level optimisation, Experience productionizing ML models, Experience scaling ML models, Contributions to open-source projects, Experience with MLOps tools, Experience with distributed training systems, Familiarity with relational databases, Experience handling large-scale data using Spark
What You'll Do.
Translate research into ML systems
Design ML models and pipelines
Build ML models and pipelines
Deploy ML models and pipelines
Develop models for image processing
Develop models for video processing
Optimize models for image processing
Optimize models for video processing
Experiment with ML models
Prototype using open-source models
Adapt open-source models
Iterate to improve performance
Collaborate with researchers
Collaborate with cross-functional teams
Participate with ML advancements
Apply ML advancements to improve products
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Engineering teams; Design teams
Full Job Description
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 Reka's Mission Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered
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