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Machine Learning Manager Jobs in Fremont, CA (NOW HIRING)

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at ... About the Role At Poesis, machine learning and artificial intelligence open the door to improved ...

Qubeaxis

Machine Learning Engineer

San Francisco, CA · On-site

$130 - $180/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 ...

Plenful Inc.

Machine Learning Engineer

San Francisco, CA · On-site

$150 - $210/hr

You'll partner closely with software engineers, product managers, and data teams to build models ... Design, build, and deploy machine learning models into production * Develop scalable ML pipelines ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Help define data collection and management: Partner with process and software teams to improve how ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Help define data collection and management: Partner with process and software teams to improve how ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Help define data collection and management: Partner with process and software teams to improve how ...

EarnIn

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

As a fintech company where data and machine learning (ML) is integral to both our business strategy ... Collaborate with software engineers, data engineers, product managers, and marketing to coordinate ...

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

... and management processes. This role involves leveraging these skills to develop, deploy, and ... machine learning models for various applications. SKILLS: * Supervised or unsupervised learning ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Collaborate with product management and engineering groups to develop new products and features ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Collaborate with product management and engineering groups to develop new products and features ... Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent ...

Nutanix

Machine Learning Engineer

Santa Clara, CA · On-site

$123.75 - $185/hr

Collaborate with product managers, UX designers, and other engineers to define requirements and ... Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Fremont, CA

Machine Learning Manager information

See Fremont, CA salary details

$55.8K

$89.4K

$129.2K

How much do machine learning manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning manager in Fremont, CA is $89,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $101,300.00 per year, depending on experience, location, and employer.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Fremont, CA? The most popular types of Machine Learning jobs in Fremont, CA are:
What are popular job titles related to Machine Learning Manager jobs in Fremont, CA? For Machine Learning Manager jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Fremont, CA look for? The top searched job categories for Machine Learning Manager jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Machine Learning Manager jobs? Cities near Fremont, CA with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Fremont, CA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,444 per year, or $43 per hour.

Machine Learning Expert

Adidev Technologies Inc

Palo Alto, CA • On-site

Full-time

Re-posted 27 days ago

Job description

Role  - Machine Learning Expert 

(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)

 

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client.

About Adidev Technologies Inc.  

Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.

Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.

Global Presence: Our diverse employee workforce spans four continents.

Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.

How We'll Guide You

Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.

Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.

Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.

Career Growth: We facilitate industry experience to propel your technical journey forward.

Key Responsibilities:

  • Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.

  • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.

  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

  • Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.

  • Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.

  • Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.

  • Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.

  • Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.

  • Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.


Requirements:

  • Degree in Computer Science, Engineering, Statistics, or a related technical field.

  • Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.

  • Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.

  • Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.

  • Strong foundational understanding of algorithmic complexity and data structure optimization.

  • Excellent problem-solving, collaboration, and communication abilities.

  • Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.

  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

  • Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.

  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).

  • Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.

  • Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.

  • Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.

  • Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.


How to Apply:

Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.

Perks and Beyond!

Competitive salary range: Based on experience and market value

Pack your bags! Paid relocation is on us.

We provide support, even from afar, with our remote assistance.

Regular salary reviews? You betcha!

 

Ready to Embark? 

We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects.  At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.

Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life.  Your unique perspective could be the catalyst for our next revolutionary breakthrough

Employment Type: FULL_TIME

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