PeopleConnect Staffing is hiring: Sr. Machine Learning Engineer (Computer Vision
PeopleConnect Staffing, San Francisco, CA, United States
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 continues to lead in transforming everyday habits into opportunities for better health.
They are seeking a Machine Learning Engineer (Computer Vision) to join their 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.
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 within infrastructure, software, and product teams on system‑wide architecture and feature development.
Contribute to regulatory documentation and validation efforts in support of clinical trials.
Qualifications 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 of 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 spaces such as medical devices or clinical data.
Data engineering experience, including annotation workflows and managing large‑scale labelled 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 the 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 adam@peopleconnectstaffing.com.
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In Summary: Job: 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 . Role involves ownership of their computer vision and other machine learning algorithms from design, development, testing, and deployment .
En Español: Título de trabajo: Ingeniero Superior en Aprendizaje Automático (Visión Computacional) U.S. Employment Type: Full-time, Hybrid (3 days/week in office) Compensation: $125,000-$150,000/year Nuestro cliente es una compañía pionera de tecnología sanitaria con sede en San Francisco, dedicada a mejorar el bienestar mediante soluciones innovadoras para monitorear la salud doméstica. Su producto insignia es un asiento sanitario inteligente impulsado por IA diseñado para integrarse perfectamente en las rutinas diarias mientras proporciona información continua sobre la salud. Reconocido por TIME como uno de los Mejores Invenciones del 2024, nuestro cliente continúa liderando la transformación de hábitos cotidianos magros en oportunidades para una mejor salud. Buscan un ingeniero de aprendizaje automático (Computer testing) que se une a su equipo ágil y agile. Este papel implica la propiedad de su visión computarizada y otros algoritmos de desarrollo, diseño y despliegue. Usted será fundamental en la construcción de nuevas características del producto, trabajando independientemente dentro de un entorno colaborativo de ensayos clínicos. Implementar sistemas de monitoreo para garantizar el rendimiento del modelo, precisión médica y fiabilidad en los sistemas de salud de producción. Trabajar cross-functionalmente dentro de las infraestructuras, software y equipos de productos sobre arquitectura y desarrollo de todo sistema. Construir, optimizar y mantener tuberías robustas de aprendizaje automático aprovechando la infraestructura de nubebedas (preferido AWS). Entrenar, validar e implementar modelos de visión computarizada en conjuntos de datos de pruebas clínicas reales. Aplicar sistemas de seguimiento para asegurar el desempeño médico, exactitud y confiabilidad de sus sistemas de conocimientos médicos y otras tecnologías de salud productivas. Trabajo interfuncional dentro de infraestructura, programas informáticos y equipos del producto sobre la arquitectura de toda el sistema y desarrollar deducciones. Edificar, optimizar y mantener sólidas capacidades de control y validación de los esfuerzos en apoyo a los ensayo clínico. Qualificaciones Tensionales: 5+ años de diseño, mantenimiento de cuota de datos y piezas de trabajo en los proyectos de ingeniería automática en el ámbito de la tecnología de la información. Prueban una experiencia avanzada y capacidad de manejador de trabajo más amplia o de gestión de los sistemas informáticas en el área de la seguridad social. Experiencia física, formación profesional, etc.
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 continues to lead in transforming everyday habits into opportunities for better health.
They are seeking a Machine Learning Engineer (Computer Vision) to join their 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.
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 within infrastructure, software, and product teams on system‑wide architecture and feature development.
Contribute to regulatory documentation and validation efforts in support of clinical trials.
Qualifications 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 of 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 spaces such as medical devices or clinical data.
Data engineering experience, including annotation workflows and managing large‑scale labelled 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 the 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 adam@peopleconnectstaffing.com.
#J-18808-Ljbffr
In Summary: Job: 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 . Role involves ownership of their computer vision and other machine learning algorithms from design, development, testing, and deployment .
En Español: Título de trabajo: Ingeniero Superior en Aprendizaje Automático (Visión Computacional) U.S. Employment Type: Full-time, Hybrid (3 days/week in office) Compensation: $125,000-$150,000/year Nuestro cliente es una compañía pionera de tecnología sanitaria con sede en San Francisco, dedicada a mejorar el bienestar mediante soluciones innovadoras para monitorear la salud doméstica. Su producto insignia es un asiento sanitario inteligente impulsado por IA diseñado para integrarse perfectamente en las rutinas diarias mientras proporciona información continua sobre la salud. Reconocido por TIME como uno de los Mejores Invenciones del 2024, nuestro cliente continúa liderando la transformación de hábitos cotidianos magros en oportunidades para una mejor salud. Buscan un ingeniero de aprendizaje automático (Computer testing) que se une a su equipo ágil y agile. Este papel implica la propiedad de su visión computarizada y otros algoritmos de desarrollo, diseño y despliegue. Usted será fundamental en la construcción de nuevas características del producto, trabajando independientemente dentro de un entorno colaborativo de ensayos clínicos. Implementar sistemas de monitoreo para garantizar el rendimiento del modelo, precisión médica y fiabilidad en los sistemas de salud de producción. Trabajar cross-functionalmente dentro de las infraestructuras, software y equipos de productos sobre arquitectura y desarrollo de todo sistema. Construir, optimizar y mantener tuberías robustas de aprendizaje automático aprovechando la infraestructura de nubebedas (preferido AWS). Entrenar, validar e implementar modelos de visión computarizada en conjuntos de datos de pruebas clínicas reales. Aplicar sistemas de seguimiento para asegurar el desempeño médico, exactitud y confiabilidad de sus sistemas de conocimientos médicos y otras tecnologías de salud productivas. Trabajo interfuncional dentro de infraestructura, programas informáticos y equipos del producto sobre la arquitectura de toda el sistema y desarrollar deducciones. Edificar, optimizar y mantener sólidas capacidades de control y validación de los esfuerzos en apoyo a los ensayo clínico. Qualificaciones Tensionales: 5+ años de diseño, mantenimiento de cuota de datos y piezas de trabajo en los proyectos de ingeniería automática en el ámbito de la tecnología de la información. Prueban una experiencia avanzada y capacidad de manejador de trabajo más amplia o de gestión de los sistemas informáticas en el área de la seguridad social. Experiencia física, formación profesional, etc.