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Machine Learning Jobs in Milpitas, CA (NOW HIRING)

Machine Learning Engineers

San Jose, CA · On-site

$194K - $355K/yr

Tiktok Senior Research Engineer, Machine Learning Privacy San Jose Regular R D Machine learning Job ID: M1758 Responsibilities TikTok is the leading destination for short-form mobile video. At TikTok ...

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 ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

Sunnyvale, California, United States -- Machine Learning and AI Our team delivers algorithms that power many Apple technologies, including Apple Vision Pro's Eyesight and Persona. In this position ...

Machine Learning Engineer

Dublin, CA · On-site

$90 - $130/hr

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...

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 ...

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...

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 for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

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 ...

About the Role We're hiring our first Machine Learning Engineer in the United States, a foundational role that will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

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 ...

Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies ...

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 ...

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 ...

Good understanding of machine learning, deep learning, or data analytics concepts. * Excellent communication, relationship skills and a team player Become part of this growing team at Adobe and have ...

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...

Showing results 21-40

Machine Learning information

See Milpitas, CA salary details

$29.7K

$49.6K

$102.6K

How much do machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning in Milpitas, CA is $49,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,900.00 and $53,600.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Milpitas, CA?

The most popular types of Machine Learning jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Machine Learning jobs?

Cities near Milpitas, CA with the most Machine Learning job openings:

Infographic showing various Machine Learning job openings in Milpitas, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $49,626 per year, or $23.9 per hour.

Machine Learning Engineers

Jobs for Humanity

San Jose, CA • On-site

$194K - $355K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Tiktok to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Tiktok
Job Description

Senior Research Engineer, Machine Learning
Privacy
San Jose
Regular
R D
Machine learning
Job ID: M1758
Responsibilities
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joya mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impactfor ourselves, our company, and the communities we serve. Join us.
At TikTok, we treat privacy as our first priority in our product design and implementation. Privacy is not just about regulation compliance, but also about a more trusted way to enable technology innovation by respecting users' privacy choices! Privacy Innovation (PI) Lab is established to explore the next frontier of privacy technology and theory in the digitalized world. We provide key insights and technical solutions on privacy-related innovation for all TikTok's products. Furthermore, we also collaborate with worldwide technical and academic communities to build an open ecosystem to promote privacy friendly digital experience. PI Lab is growing fast and seeking highly experienced, bright, and capable researchers and professionals to join our team. As a member of PI Lab, you will have the opportunities to research advanced privacy technology and theory together with worldwide influential researchers, and to tackle the critical industrial challenges on privacy innovation serving billions of TikTok users by applying cutting-edge technology.
Responsibilities
- Participate in the construction of a multi-party joint modeling and data analysis platform
- Work with product teams to understand key privacy requirements from TikTok product family and convert research outcomes into technical solutions and product prototypes
- Work with research teams for complex experiments requiring optimized algorithms running on large datasets or sophisticated data processing
- Build open-source tools and infrastructure for privacy related research and engage with community contributors in external events including meetups, hackathons, summits
Qualifications
Minimum Requirements:
- PhD or Master's degree in Computer Science or a related field, or 3+ years of experience working in related fields
- Familiar with federated learning / distributed machine learning algorithms and experienced in federated learning frameworks and applications development
- Familiar with machine learning and deep learning frameworks, like TensorFlow, Pytorch, JAX
- Interest in privacy-enhanced techniques (PET) and related technical domains, including data and identity anonymization, differential privacy, secure multi-party computation, federated machine learning, on-device machine learning, interpretable AI, privacy-preserving technology for large language models (LLM) or foundation models, privacy-preserving regulation technology, etc.
- Proficiency in at least one of the following programming languages, Go, C++, Python, Rust, Java
- Ability to work globally and collaboratively within a team
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
Job Information
For Pay Transparency
Compensation Description (annually) The base salary range for this position in the selected city is $194,000 - $355,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:
- We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match
- Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
- Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care
- 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability
- Mental and emotional health benefits through our EAP and Lyra
- 401K company match, gym and cellphone service reimbursements
The Company reserves the right to modify or change these benefits programs at any time, with or without notice. For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems
3. Exercising sound judgment