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Machine Learning Engineer Opt Jobs in Hayward, CA

Lead Machine Learning Engineer

San Francisco, CA ยท On-site +1

$120.80K - $159.10K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

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 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 ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Machine Learning Engineer The Opportunity Join Adobe and be at the forefront of driving digital transformation. As a Machine Learning Engineer, you will play a key role in developing machine learning ...

Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual ...

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 graphics ...

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 graphics ...

Adobe is at the forefront of driving digital transformation and is seeking a Machine Learning Engineer to develop machine learning models and algorithms. The role involves collaborating with multi ...

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.

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Showing results 1-20

Machine Learning Engineer Opt information

See Hayward, CA salary details

$36.1K

$147.6K

$221.8K

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

As of May 29, 2026, the average yearly pay for machine learning engineer opt in Hayward, CA is $147,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $177,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Hayward, CA? For Machine Learning Engineer Opt jobs in Hayward, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Hayward, CA look for? The top searched job categories for Machine Learning Engineer Opt jobs in Hayward, CA are:
What cities near Hayward, CA are hiring for Machine Learning Engineer Opt jobs? Cities near Hayward, CA with the most Machine Learning Engineer Opt job openings:
Infographic showing various Machine Learning Engineer Opt job openings in Hayward, CA as of May 2026, with employment types broken down into 86% Full Time, 6% Part Time, 4% Temporary, and 4% Contract. Highlights an 100% Physical job distribution, with an average salary of $147,633 per year, or $71 per hour.

Machine Learning Engineer

Your Personal AI

San Francisco, CA โ€ข On-site, Remote

Full-time

Posted 7 days ago


Job description

We are looking for a highly skilled and innovative Machine Learning Engineer to join our dynamic team at Your Personal AI. In this role, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models that drive the core of our AI-driven solutions. You will collaborate closely with cross-functional teams to identify challenges, create scalable algorithms, and implement machine learning systems that solve real-world problems.
Machine Learning Engineer at Your Personal AI
We are looking for a talented Machine Learning Engineer to join our AI Research and Development department at Your Personal AI. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms to enhance our AI technologies.
Your main tasks will include analyzing and interpreting complex data sets, collaborating with cross-functional teams to design and deploy machine learning models, and continuously improving our AI systems.
  • Develop and implement machine learning algorithms
  • Analyze and interpret complex data sets
  • Collaborate with cross-functional teams
  • Design and deploy machine learning models
  • Continuously improve AI systems

If you are passionate about AI and have a strong background in machine learning, we would love to hear from you. Join us at Your Personal AI and be part of a dynamic team driving innovation in artificial intelligence.
Job Requirements for Machine Learning Engineer at Your Personal AI
Please ensure that the job requirements for the Machine Learning Engineer role at Your Personal AI in the AI Research and Development department include the following:
  • Strong proficiency in machine learning algorithms and techniques
  • Experience with programming languages such as Python, R, or Java
  • Ability to work with large datasets and perform data analysis
  • Knowledge of deep learning frameworks like TensorFlow or PyTorch
  • Experience in developing and deploying machine learning models
  • Strong problem-solving skills and analytical thinking
  • Excellent communication and teamwork abilities