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Machine Learning Engineer Hybrid Jobs in Milpitas, CA

Gotion, Inc.

Machine Learning Engineer

Fremont, CA

Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...

Tapestry

Machine Learning Engineer, Tapestry

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the role: We're looking for an early career Machine Learning Engineer to join our team. In ... Generous PTO and flexible hybrid work model * 401(k) with employer contribution * Professional ...

Tapestry

Machine Learning Engineer, Tapestry

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the role: We're looking for an early career Machine Learning Engineer to join our team. In ... Generous PTO and flexible hybrid work model * 401(k) with employer contribution * Professional ...

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

Hybrid type of work in Pleasanton CA. Proficiency in supervised and unsupervised learning ... Experience in DevOps and MLOps practices is also necessary to streamline model deployment and ...

Winaxis

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 ...

Compunnel

Machine Learning Engineer

San Jose, CA · On-site

Job Summary The Machine Learning Engineer will lead the development of advanced Machine Learning and Artificial Intelligence solutions that support large-scale business applications and customer ...

New

MM International

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 ...

Nutanix

Machine Learning Engineer

Santa Clara, CA · On-site

$123.75 - $185/hr

  • Medical

  • Dental

  • Vision

Proficiency in programming languages such as Python, and experience with machine learning ... Hybrid Work We follow a hybrid work model with in‑person collaboration. Employees near the Santa ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

TEKsystems

Sr. Machine Learning Engineer

Menlo Park, CA · Hybrid

$70 - $85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Menlo Park, CA (Hybrid) Employment Type: 6-Month Contract Compensation: $70.00-$85.00/hour (W-2) Help Advance the Next Generation of AI Agents We're seeking a Senior Machine Learning Engineer to ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model ... S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA · On-site

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...

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All JobsMachine Learning Engineer Hybrid JobsMachine Learning Engineer Hybrid Jobs in Milpitas, CA

Machine Learning Engineer Hybrid information

See Milpitas, CA salary details

$36.7K

$150.1K

$225.5K

How much do machine learning engineer hybrid jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning engineer hybrid in Milpitas, CA is $150,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $180,600.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Hybrid vs Data Scientist?

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

What are popular job titles related to Machine Learning Engineer Hybrid jobs in Milpitas, CA? For Machine Learning Engineer Hybrid jobs in Milpitas, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Hybrid jobs in Milpitas, CA look for? The top searched job categories for Machine Learning Engineer Hybrid jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Machine Learning Engineer Hybrid jobs? Cities near Milpitas, CA with the most Machine Learning Engineer Hybrid job openings:
Machine Learning Engineer Hybrid jobs near you

Machine Learning Engineer

Gotion, Inc.

Fremont, CA

Full-time

Re-posted 4 days ago

Job description

About The Team
The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.

Role Summary

We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up.

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments.

Essential Duties and Responsibilities:

  • Design and implement novel machine learning and deep learning models tailored to internal research needs
  • Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures
  • Conduct rigorous experimentation, benchmarking, and ablation studies
  • Collaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling
  • Contribute to internal documentation and present research outcomes to technical and leadership teams
  • Track and integrate advances from the ML research community to ensure technical excellence

Required Qualifications:

  • Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field
  • Demonstrated expertise in model development, optimization, and algorithmic innovation
  • Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc.
  • Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics
  • Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
  • A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus
  • Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments

The US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.   

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