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Machine Learning Engineer

Cellanome
Location
San Diego or Foster City
Posted
12 days ago
Department
R&D
Salary
$160,000 - $215,000
What they actually want (must-haves)
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field with 5+ years of relevant experience, or a Master’s degree with 3+ years of relevant experience
  • Experience developing, implementing, and validating algorithms for optimization, automation, sensing, data analysis, or image-processing applications
  • Strong programming skills in Python with experience developing production-quality, maintainable, and well-documented code
  • Solid understanding of software development fundamentals, including debugging, version control, testing, and code optimization
  • Familiarity with AI/ML concepts and workflows, including data preprocessing, model training, evaluation, and deployment
  • Experience with image analysis, computer vision, signal processing, or data-driven algorithm development
Nice to have
  • Proficiency in C++, C#, or other high-performance programming languages for algorithm deployment and system integration
  • Experience developing AI/ML algorithms for image analysis, pattern recognition, anomaly detection, or automated decision systems
  • Advanced familiarity with modern computer vision and deep learning architectures, including Vision Transformers (ViTs), CNNs, object detection, segmentation, or multimodal AI models
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar platforms
  • Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time execution
What the job really is

The Machine Learning Engineer will collaborate with various teams to design, develop, and optimize algorithms for data analysis and workflow automation, focusing on computer vision and computational geometry. Responsibilities include creating signal-processing and image-analysis algorithms, performing system-level analysis, and integrating algorithms into the software ecosystem. The role also involves optimizing algorithms for deployment on edge devices and creating technical documentation to support product development.

Benefits
  • Competitive total compensation packages, including base pay, benefits, and equity
  • Estimated base salary range of $160,000 - $215,000/year in California
  • Generous stock options
  • Great individual and family health plans
  • 401(k)
  • Flexibility to balance work and life
Things to weigh
  • No specific technologies or tools mentioned beyond Python and general AI/ML concepts
  • The role involves collaboration across multiple teams, which may require strong interpersonal skills
  • The company is described as a start-up, which may imply a fast-paced and evolving work environment
Job score4.2/5
Benefits3/5
Freshness5/5
Career value4/5
Role clarity4/5
Pay transparency5/5

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