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Senior Machine Learning Software Engineer Jobs in Pleasanton, CA

Adobe

Senior Machine Learning Engineer

San Jose, CA · On-site

$122K - $168K/yr

Senior Machine Learning Engineer AgentPlatform - Adobe Experience Platform THE OPPORTUNITY Build ... Strong software engineering fundamentals:proficiencyin Python and/or Java, experience designing ...

Otter.ai

Senior Machine Learning Engineer

Mountain View, CA · On-site

$123K - $169K/yr

As a Senior Machine Learning Engineer, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems-creating and transforming innovative ...

Otter.ai

Senior Machine Learning Engineer

Mountain View, CA · On-site

$123K - $169K/yr

As a Senior Machine Learning Engineer, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems-creating and transforming innovative ...

Roku

Senior Machine Learning Engineer

San Jose, CA · Remote

$229K - $367K/yr

We're looking for seasoned engineers with machine learning backgrounds to support this mission ... Proficient coding skills and strong software development experience in Spark, Python, or Java

Roku

Senior Machine Learning Engineer

San Jose, CA · On-site

$229K - $367K/yr

We're looking for seasoned engineers with machine learning backgrounds to support this mission ... Proficient coding skills and strong software development experience in Spark, Python, or Java

Adobe

Machine Learning Engineer 4

San Jose, CA · On-site

Adobe is looking for a Senior Machine Learning Engineer to help shape the future of agentic AI in ... Adobe is a software company that provides its users with digital marketing and media solutions.

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All JobsMachine Learning Software Engineer JobsSenior Machine Learning Software Engineer JobsSenior Machine Learning Software Engineer Jobs in Pleasanton, CA

Senior Machine Learning Software Engineer information

See Pleasanton, CA salary details

$84K

$159.5K

$213.7K

How much do senior machine learning software engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior machine learning software engineer in Pleasanton, CA is $159,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,300.00 and $179,700.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the key skills and qualifications needed to thrive as a senior machine learning software engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
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What job categories do people searching Senior Machine Learning Software Engineer jobs in Pleasanton, CA look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Pleasanton, CA are:
What cities near Pleasanton, CA are hiring for Senior Machine Learning Software Engineer jobs? Cities near Pleasanton, CA with the most Senior Machine Learning Software Engineer job openings:
Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in Pleasanton, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $159,469 per year, or $76.7 per hour.

Senior Machine Learning Engineer - Digital Intelligence

JP Morgan Chase

Palo Alto, CA • On-site

Full-time

Medical, Retirement

Posted 4 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description

Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction. In this role, you'll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.

As a Senior Machine Learning Engineer-Digital intelligence in the Digital Intelligence team, you will be collaborating with a high-caliber team of software developers and deep learning experts, you will specialize in large language modeling, optimization, interpretability, and related algorithms

The ideal candidate brings a strong software engineering foundation combined with hands-on, zero-to-one machine learning development experience. You will possess broad expertise in post-training machine learning models - including quality and performance optimization - alongside deep knowledge of large language models and modern deep learning techniques. Above all, you will have a demonstrated ability to operate at the intersection of research and engineering, turning promising ideas into scalable, real-world products within a fast-paced, collaborative environment.

Job Responsibilities 

  • Research and prototype next-generation architectures for structured and unstructured data 

  • Develop novel pre-training objectives tailored to financial event sequences and heterogeneous profile data 

  • Implement research ideas in production-quality code 

  • Mentor engineers on ML best practices; translate research advances into deployable systems 

  • Optimize training throughput for large data sources 

  • Collaborate with other teams to design solutions for product use cases.

Required qualifications, capabilities, and skills: 

-PhD with 2+ years OR  Master's degree with 4+ in Computer Science, with training and work experience in Machine Learning, LLM/NLP or similar fields.

-Deep LLM and Transformer expertise - strong command of attention mechanisms, positional encodings such as RoPE, and the ability to handle multi-modal data inputs effectively. 

-PyTorch proficiency at scale - hands-on experience with distributed training frameworks including FSDP and DeepSpeed, alongside practical memory optimization techniques. 

-Foundation model training - proven experience in pre-training from scratch and designing tokens and vocabularies for complex, heterogeneous data sources including tabular, temporal, and graphical formats. 

-Strong software engineering skills - ability to build robust, production-quality systems that perform reliably at scale. 

-Prior experience with financial data and recommendation systems.

Preferred qualifications, capabilities, and skills: 

  • Publication record at top AI/ML venues. 

  • Experience optimizing serving infrastructure is a plus. 

  • Experience with post-training LLMs and network optimization algorithms, as well as interpretability or steering techniques for LLMs. 

  • Experience working with large-scale compute infrastructure. 

  • Experience shipping a real-world product, project, or feature. 

  • Experimental rigor and ablation design when benchmarking LLM optimizations. 

  • Strong communication and accountability skills, with a collaborative mindset and strong work ethic. 

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries."

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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