Sr. Machine Learning Engineer (Computer Vision) jobs in United States
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PeopleConnect Staffing ยท 1 month ago

Sr. Machine Learning Engineer (Computer Vision)

PeopleConnect Staffing is representing a pioneering health technology company based in San Francisco, dedicated to enhancing wellness through innovative in-home health monitoring solutions. They are seeking a Senior Machine Learning Engineer (Computer Vision) to lead the design, development, testing, and deployment of machine learning systems, particularly in computer vision, while collaborating with cross-functional teams to build impactful health products.

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H1B Sponsor Likelynote

Responsibilities

Lead the design, development, testing, and deployment of their computer vision and other machine learning systems, including model training, MLOps pipelines, and inference
Build, optimize, and maintain robust machine learning pipelines leveraging cloud infrastructure (AWS preferred)
Train, validate, and deploy computer vision models on real-world clinical trial datasets
Implement monitoring systems to ensure model performance, accuracy, and reliability in production healthcare environments
Work cross-functionally with infrastructure, software, and product experts on system-wide architecture and feature development
Contribute to regulatory documentation and validation efforts in support of clinical trials

Qualification

Machine LearningComputer VisionMLOpsPythonAWSDeep Learning FrameworksData EngineeringRegulatory ComplianceProblem SolvingCommunication Skills

Required

5+ years of experience designing, building, and maintaining production machine learning models and pipelines in the cloud
3+ years of experience in computer vision in real-world applications
2+ years industry experience with Python
Deep understanding of best practices in machine learning and MLOps around data quality (including annotations), monitoring, scalability, and maintainability
Strong grasp of computer vision fundamentals
Proficiency in relevant deep learning frameworks (e.g., TensorFlow, PyTorch)
Strong software engineering fundamentals, with the ability to write clean, reliable code
Track record of independent problem-solving and the ability to proactively drive projects to completion
Demonstrated ability and willingness to quickly acquire new technical skills to meet project demands
Strong communication, collaboration, and organizational skills
Interest in building impactful products in the health sector
Familiarity with a startup environment
Experience working with sensitive health data or datasets governed by HIPAA, GDPR, or other regulatory frameworks

Preferred

Proficiency with AWS systems
Experience in the healthcare space such as medical devices or clinical data
Data engineering experience, including annotation workflows and managing large-scale labeled datasets

Benefits

Competitive salary and equity participation
Healthcare and 401(k) benefits
Flexible work environment with hybrid office structure
Mission-driven, collaborative team
Work on modern technology that integrates hardware, software, and data science to improve lives
Opportunity to contribute to regulatory-grade validation of AI/ML models in healthcare
Benefit from a high degree of ownership and direct impact on their product's success
Contribute as a foundational member of an early-stage startup poised for significant growth in the wellness IoT and healthtech market

Company

PeopleConnect Staffing

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PeopleConnect is a full-service executive search firm specializing in the high tech, clean tech, and scientific industries.

H1B Sponsorship

PeopleConnect Staffing has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (2)
2022 (5)
2021 (1)
2020 (1)

Funding

Current Stage
Early Stage

Leadership Team

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Max Shapiro
Founder and CEO
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Company data provided by crunchbase