Sr. Machine Learning Engineer (Computer Vision)

Description

Job   Title :   Senior   Machine   Learning   Engineer   (Computer   Vision)

Office Location :  San Francisco, US

Employment Type :  Full-time, Hybrid (3 days / week in office)

Compensation :    $125,000 - $150,000 / year

Our  client is  a pioneering health technology company based in San Francisco, dedicated to enhancing wellness through innovative in-home health monitoring solutions.  Their flagship product  is an AI-powered smart toilet seat designed to seamlessly integrate into daily routines while  providing  continuous health insights. Recognized by  TIME   as   one   of   the   Best   Inventions   of   2024,   our   client c ontinues   to   lead   in   transforming   everyday habits into opportunities for better health.

They  are   seeking   a   Machine   Learning   Engineer   (Computer   Vision)   to   join   thei r   lean   and   agile   team. This role involves ownership of  their  computer vision and other machine learning algorithms from design, development, testing, and deployment. You will be instrumental in building new product features, working independently within a collaborative startup environment.

As   the Sr  Machine   Learning   Engineer,   you   will :

Lead   the   design,   development,   testing, and deployment of  thei r 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

As   the Sr Machine   Learning   Engineer,   you r background  should include :

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   Qualifications

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 and Perks

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

If interested, please send your resume to  [email protected] .