ZipRecruiter

Log In

1

Machine Learning Engineer Starting Jobs in Santa Clara, CA

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with teams to architect robust systems and integrate AI-driven features into applications.

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Visa Hunt

Machine Learning Engineer, Drive

Sunnyvale, CA · On-site

$150 - $210/hr

About the Role As a Machine Learning Engineer on the Drive team, you'll own machine learning systems end-to-end--from feature engineering and model development to experimentation, deployment ...

New

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA

$150K - $225K/yr

  • Medical

  • Dental

  • Retirement

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 ...

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

The role involves designing, building, and deploying machine learning solutions while collaborating with a team of software engineers and researchers to tackle significant security challenges.

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

... with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

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 ...

Menlo Ventures

Machine Learning Engineer

San Mateo, CA · On-site

$195 - $350/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We're hiring a Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high‑stakes legal work -- from intake ...

Capital One

Lead Machine Learning Engineer (IC)

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

Responsibilities : • Be an early member of a high-performing team of software engineers and machine learning researchers building a new human identity platform • Take ownership, be creative, and ...

Spark Tek Inc

Machine Learning Engineer

San Jose, CA · On-site

Spark Tek Inc is seeking a highly skilled Machine Learning Engineer to design and build a low-latency query understanding and intelligent routing system. The role involves working on data modeling ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

$96K - $128K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and ... Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

$96K - $128K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and ... Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the ...

Cisco

Machine Learning Engineer

San Jose, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Machine Learning, Mathematics, Statistics, or related field with 6+ years of software engineering ... The starting salary range posted for this position is $203,000.00 to $258,600.00 and reflects the ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer Starting JobsMachine Learning Engineer Starting Jobs in Santa Clara, CA

Machine Learning Engineer Starting information

See Santa Clara, CA salary details

$37K

$151.2K

$227.3K

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

As of Aug 13, 2026, the average yearly pay for machine learning engineer starting in Santa Clara, CA is $151,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $182,000.00 per year, depending on experience, location, and employer.

What are entry-level machine learning engineer jobs?

Entry-level machine learning engineer jobs typically involve developing and testing machine learning models, often requiring knowledge of programming languages like Python and familiarity with frameworks such as TensorFlow or PyTorch. These roles usually require a bachelor's degree in computer science, data science, or related fields, and may include tasks like data preprocessing, model evaluation, and collaboration with data teams.
What cities near Santa Clara, CA are hiring for Machine Learning Engineer Starting jobs? Cities near Santa Clara, CA with the most Machine Learning Engineer Starting job openings:
Machine Learning Engineer Starting jobs near you

Machine Learning Engineer

UnifyID (acquired by Prove)

Redwood City, CA • On-site

Full-time

Re-posted 12 days ago

Job description

About Prove (acquired UnifyID)
Prove is the modern platform for continuous identity authentication and is used by over 1,000 enterprises and 500 financial institutions, including 9 of the top 10 U.S. banks. Prove's cloud solutions, and mobile intelligence-driven APIs can be easily orchestrated to increase Approve Rates to over 90%, enabling companies to authenticate customer identities accurately, effortlessly, and privately while mitigating fraud. Prove's solutions are available in 195 countries.
For the latest updates from Prove, follow us on LinkedIn.
About the role
We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production.
UnifyID is building a platform to solve one the world's biggest unsolved security problems in a completely novel way, requiring us to push the boundaries of what's possible in production machine learning and on mobile devices. Our data analytics platform can translate mobile sensor data from real-world human activity into a "digital fingerprint" with no conscious action from the user, all in real-time, and in a way that respects user privacy. This is an opportunity to be a part of something truly unique and game-changing.
We are looking for natural-born builders who are comfortable in multiple technical areas, have creative problem-solving skills, a love for coding and technology and a "get stuff done" attitude.
Your day-to-day
  • Be an early member of a high-performing team of software engineers and machine learning researchers building a new human identity platform
  • Take ownership, be creative, and think outside the box to invent and build solutions to real-world customer problems
  • Interface with our world-class machine learning research team to help turn core research into reality
  • Wrangle and perform experiments on petabyte-scale data sets
  • Wear many hats to make things happen in a dynamic startup environment
  • Bring your own unique expertise to the team and learn from others
  • Enjoy tight collaboration with your teammates

Ideal candidates will have...
  • Spent at least 5 years in the trenches of the software industry, delivering quality software that matters to people that care
  • Many "been there, done that" stories related to shipping and maintaining major software products for customers
  • Excellent coding skills in an object-oriented language (Go, Python, Rust, Java, C++, Ruby, etc...)
  • Experience working with high volumes of data, ideally with machine learning playing a critical role
  • Strong foundational knowledge of mathematics, bonus if related to machine learning or signals processing
  • A breadth of technical skills and know how to use the right tool for the job
  • High motivation and ability to learn new technologies and domains
  • A positive can-do attitude and bring a passion for excellence to the workplace
  • Excellent collaboration and communication skills
  • Professional experience with AWS, Kubernetes a bonus
  • Knowledge of cybersecurity, signals processing, or experience working with time-series data a bonus

Join us!
As we continue to scale our company, we are looking for people who know how to make an impact. We're talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smarts but natural curiosity and tenacity. Teamwork is also important to us - we work together and play together.
Prove has big plans; we're excited and optimistic about the future. If this sounds like a career for you - come check us out.
This team is located in the heart of Silicon Valley in downtown Redwood City and has unparalleled access to deep entrepreneurial expertise, high-caliber academic research institutions, and top-tier VC resources.
Finally, it is important that you be authentic and be yourself.
Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status, or other personal characteristics.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply