The Machine Learning Engineer will develop and optimize machine learning models to enhance health ... engineers, data roles, product managers, and hardware. Founded in 2021, the company is ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance health ... engineers, data roles, product managers, and hardware. Founded in 2021, the company is ...
Machine Learning Engineer
San Francisco, CA · On-site
$150 - $200/hr
Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML ... Additionally, we run a quarterly spot-bonus programme where managers can recognise exceptional ...
Machine Learning Engineer
San Francisco, CA · On-site
$150 - $200/hr
Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML ... Additionally, we run a quarterly spot-bonus programme where managers can recognise exceptional ...
Machine Learning Engineer
Carlsbad, CA · On-site
Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts ... Strong programming skills in Python and Scala required. Experience in other programming languages ...
Machine Learning Engineer
Carlsbad, CA · On-site
Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts ... Strong programming skills in Python and Scala required. Experience in other programming languages ...
Machine Learning Engineer
Carlsbad, CA · On-site
Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts ... Strong programming skills in Python and Scala required. Experience in other programming languages ...
Machine Learning Engineer
Carlsbad, CA · On-site
Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts ... Strong programming skills in Python and Scala required. Experience in other programming languages ...
Machine Learning Engineer
Pleasanton, CA · On-site
Machine Learning Engineer (Azure Focus) - Remote (PST) [About the Role] Join GAP as a Machine ... Manage the complete ML lifecycle: data preparation, model selection, training, evaluation ...
Machine Learning Engineer
Pleasanton, CA · On-site
Machine Learning Engineer (Azure Focus) - Remote (PST) [About the Role] Join GAP as a Machine ... Manage the complete ML lifecycle: data preparation, model selection, training, evaluation ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
Machine Learning Engineer
San Mateo, CA · On-site +1
Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
Machine Learning Engineer
San Mateo, CA · On-site
$125 - $150/hr
Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...
Machine Learning Engineer
San Mateo, CA · On-site
$125 - $150/hr
Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...
Machine Learning Engineer
San Mateo, CA · On-site
Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
Machine Learning Engineer
San Mateo, CA · On-site
Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and ...
Happy Elements is a company seeking a Machine Learning Engineer to build, maintain, and improve efficient and reliable data mining and machine learning models. The role involves designing and ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do ... An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do ... An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...
Machine Learning Engineer
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning ... Implement robust DevOps and MLOps practices, managing model registries, automated testing ...
Machine Learning Engineer
San Francisco, CA · On-site
$118K - $129K/yr
Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning ... Implement robust DevOps and MLOps practices, managing model registries, automated testing ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do ... An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your ...
Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do ... An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
Quick apply
Machine Learning Engineer
Fremont, CA · On-site
Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...
The successful candidate will manage projects deploying machine learning techniques for drug design ... engineers, computational chemists, and computational biologists. • You will closely collaborate ...
The successful candidate will manage projects deploying machine learning techniques for drug design ... engineers, computational chemists, and computational biologists. • You will closely collaborate ...
Machine Learning Engineer
Los Angeles, CA · On-site
$150 - $200/hr
Machine Learning Engineer Lead end-to-end ML deployment for robotic sheet metal forming systems Location: Los Angeles, California, United States Compensation: $160,000 - 190,000 USD / year Job Tags:
Machine Learning Engineer
Los Angeles, CA · On-site
$150 - $200/hr
Machine Learning Engineer Lead end-to-end ML deployment for robotic sheet metal forming systems Location: Los Angeles, California, United States Compensation: $160,000 - 190,000 USD / year Job Tags:
Machine Learning Engineer
Los Angeles, CA · On-site
ROLE SUMMARY The Machine Learning Engineer is a major contributor in driving our company ... Identify new business opportunities through tracking competitor trends and keeping management aware ...
Machine Learning Engineer
Los Angeles, CA · On-site
ROLE SUMMARY The Machine Learning Engineer is a major contributor in driving our company ... Identify new business opportunities through tracking competitor trends and keeping management aware ...
Machine Learning Engineer Manager information
What is a machine learning engineer manager?
Machine Learning Engineer Managers are professionals who lead teams of machine learning engineers in designing, developing, and deploying machine learning models and systems. They combine strong technical expertise in machine learning with leadership and project management skills to guide teams, set priorities, and ensure projects align with organizational goals. In addition to overseeing technical work, they are responsible for mentoring team members, collaborating with other departments, and staying updated on the latest ML technologies and best practices.
What are the main challenges machine learning engineer managers face when leading teams?
Machine Learning Engineer Managers often navigate the dual challenge of aligning technical innovation with business goals while supporting team growth. They must balance hands-on technical guidance with project management, ensuring that machine learning models are both cutting-edge and production-ready. Additionally, fostering collaboration between data scientists, engineers, and stakeholders is crucial to keeping projects on track and team members motivated. Managing shifting priorities and keeping up with rapid advancements in AI technology are also common aspects of the role.
What are the key skills and qualifications needed to thrive as a machine learning engineer manager, and why are they important?
To thrive as a Machine Learning Engineer Manager, you need a strong background in computer science, machine learning algorithms, and leadership, often supported by an advanced degree and experience managing technical teams. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and project management systems is essential, along with certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Excellent communication, strategic thinking, and mentorship abilities help foster team growth and drive project success. These skills are crucial for delivering impactful ML solutions, ensuring efficient team performance, and aligning technical work with organizational goals.
What is the difference between Machine Learning Engineer Manager vs Data Scientist?
| Aspect | Machine Learning Engineer Manager | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, ML, or related; often leadership experience | Bachelor's/Master's in CS, Statistics, or related; strong analytical skills |
| Work Environment | Leads ML teams, manages projects, collaborates with engineering | Analyzes data, builds models, reports insights, collaborates with business units |
| Employer & Industry Usage | Tech companies, AI firms, large enterprises | Tech, finance, healthcare, research institutions |
| Search & Comparison Intent | Understanding managerial roles in ML teams | Data analysis and modeling skills |
The main difference is that a Machine Learning Engineer Manager oversees ML teams and projects, focusing on leadership and strategy, while a Data Scientist primarily analyzes data and builds models to extract insights. Both roles require strong technical skills, but the manager role adds leadership responsibilities.
Are machine learning engineer managers still in demand?
Machine Learning Engineer Managers are in high demand due to the growing adoption of AI and data-driven solutions across industries. They require strong technical skills, leadership abilities, and knowledge of tools like Python, TensorFlow, and cloud platforms, making their roles critical in developing and overseeing AI projects.
What are the most commonly searched types of Machine Learning Engineer jobs in California?
The most popular types of Machine Learning Engineer jobs in California are:
What cities in California are hiring for Machine Learning Engineer Manager jobs?
Cities in California with the most Machine Learning Engineer Manager job openings:
Machine Learning Engineer
San Francisco, CA • On-site
Recruiting from Scratch •
Recruiting and Staffing Services • 11 - 50 employees11 - 50 employees
Full-time
Re-posted 22 days ago
Job description
Job Summary:
Recruiting from Scratch represents a dynamic and innovative company in the healthcare AI sector that is on a mission to transform healthcare operations through advanced machine learning. The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing workflows.
Responsibilities:
• Develop and optimize machine learning models using Python, PyTorch, and TensorFlow to enhance healthcare operations.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing workflows and systems.
• Conduct experiments and analyze data to improve model performance and accuracy.
• Implement best practices in machine learning and software engineering to ensure high-quality deliverables.
• Participate in code reviews and contribute to a culture of continuous improvement and innovation.
Qualifications:
Required:
• 3+ years of experience in machine learning engineering or a related field.
• Proficient in Python and experienced with frameworks such as PyTorch and TensorFlow.
• Strong understanding of machine learning algorithms and their applications in real-world scenarios.
• Experience in developing and deploying scalable machine learning models.
Preferred:
• Familiarity with healthcare data and understanding of industry-specific challenges.
• Experience with cloud platforms and deployment of machine learning solutions in production environments.
• Knowledge of data preprocessing and feature engineering techniques.
Company:
A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware. Founded in 2021, the company is headquartered in Albany, USA, with a team of 11-50 employees. The company is currently Early Stage.
Recruiting from Scratch represents a dynamic and innovative company in the healthcare AI sector that is on a mission to transform healthcare operations through advanced machine learning. The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing workflows.
Responsibilities:
• Develop and optimize machine learning models using Python, PyTorch, and TensorFlow to enhance healthcare operations.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing workflows and systems.
• Conduct experiments and analyze data to improve model performance and accuracy.
• Implement best practices in machine learning and software engineering to ensure high-quality deliverables.
• Participate in code reviews and contribute to a culture of continuous improvement and innovation.
Qualifications:
Required:
• 3+ years of experience in machine learning engineering or a related field.
• Proficient in Python and experienced with frameworks such as PyTorch and TensorFlow.
• Strong understanding of machine learning algorithms and their applications in real-world scenarios.
• Experience in developing and deploying scalable machine learning models.
Preferred:
• Familiarity with healthcare data and understanding of industry-specific challenges.
• Experience with cloud platforms and deployment of machine learning solutions in production environments.
• Knowledge of data preprocessing and feature engineering techniques.
Company:
A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware. Founded in 2021, the company is headquartered in Albany, USA, with a team of 11-50 employees. The company is currently Early Stage.
About Recruiting from Scratch
Sourced by ZipRecruiter
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
Industry
Recruiting and staffing services
Company size
11 - 50 Employees
Headquarters location
New York, NY, US
Year founded
2021