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Member of Technical Staff – Machine Learning Engineer
Reka AIMember of Technical Staff transforming research into production-ready ML systems for a multimodal AI startup. Collaborating across teams to deliver scalable machine learning solutions.
Tech Stack
Tools & technologiesAWSCloudJavaPythonPyTorchScalaTensorflow
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 5 weeks of paid leave to recharge
- comprehensive healthcare benefits including vision and dental
- additional perks that support your well-being
- visa assistance, including H1B and OPT transfers
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonJavaC++Scaladiffusion modelsmulti-threadingmemory managementCNNsTransformers
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingiteration
Certifications
MS in Computer SciencePhD in Computer ScienceMS in Electrical EngineeringPhD in Electrical Engineering