Jobgether
Machine Learning Engineer (Remote - California)
Jobgether, San Francisco, California, United States, 94199
This position is posted by Jobgether on behalf of
Butlr . We are currently looking for a
Machine Learning Engineer
in
California (USA) .
This role offers a unique opportunity to innovate at the intersection of smart building technology and privacy-preserving AI. You will be part of a forward-thinking team developing advanced machine learning algorithms that enable buildings to intuitively understand human presence and behavior. Collaborating closely with product, design, and hardware teams, you will create cutting-edge detection and tracking solutions for low-power devices that power intelligent building environments globally. This position suits someone passionate about privacy, edge computing, and transforming physical spaces through AI.
Accountabilities:
Develop next-generation, privacy-focused algorithms leveraging novel IoT sensors. Build advanced detection and tracking systems to generate actionable insights for smart buildings. Design and implement assistive technology models to empower users with special needs. Collaborate with product teams to develop scalable data products and machine learning pipelines. Optimize models for deployment across cloud and edge devices ensuring high performance and reliability. Requirements
MS or PhD in machine learning, computer science, or related STEM field. 3+ years of experience in image processing and computer vision, including pose estimation, action recognition, and tracking. Strong programming skills in Python; familiarity with OpenCV, PyTorch, and NumPy. Experience with large-scale ML systems deployed on cloud and edge platforms. Knowledge of both deep learning and classical statistical modeling techniques. Bonus: experience with C++, computational photography, and performance tuning. Excellent scientific communication skills, with ability to collaborate cross-functionally. Benefits
Competitive salary range: $140,000 - $180,000 based on experience. Flexible, people-first work environment fostering collaboration and balance. Comprehensive health benefits package. Retirement savings plan. Flexible time off policies. Opportunities for professional growth and development. Inclusive and diverse company culture welcoming applicants of all backgrounds.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job's core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias - focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
#LI-CL1
Butlr . We are currently looking for a
Machine Learning Engineer
in
California (USA) .
This role offers a unique opportunity to innovate at the intersection of smart building technology and privacy-preserving AI. You will be part of a forward-thinking team developing advanced machine learning algorithms that enable buildings to intuitively understand human presence and behavior. Collaborating closely with product, design, and hardware teams, you will create cutting-edge detection and tracking solutions for low-power devices that power intelligent building environments globally. This position suits someone passionate about privacy, edge computing, and transforming physical spaces through AI.
Accountabilities:
Develop next-generation, privacy-focused algorithms leveraging novel IoT sensors. Build advanced detection and tracking systems to generate actionable insights for smart buildings. Design and implement assistive technology models to empower users with special needs. Collaborate with product teams to develop scalable data products and machine learning pipelines. Optimize models for deployment across cloud and edge devices ensuring high performance and reliability. Requirements
MS or PhD in machine learning, computer science, or related STEM field. 3+ years of experience in image processing and computer vision, including pose estimation, action recognition, and tracking. Strong programming skills in Python; familiarity with OpenCV, PyTorch, and NumPy. Experience with large-scale ML systems deployed on cloud and edge platforms. Knowledge of both deep learning and classical statistical modeling techniques. Bonus: experience with C++, computational photography, and performance tuning. Excellent scientific communication skills, with ability to collaborate cross-functionally. Benefits
Competitive salary range: $140,000 - $180,000 based on experience. Flexible, people-first work environment fostering collaboration and balance. Comprehensive health benefits package. Retirement savings plan. Flexible time off policies. Opportunities for professional growth and development. Inclusive and diverse company culture welcoming applicants of all backgrounds.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job's core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias - focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
#LI-CL1