1

Machine Learning Analysis Jobs (NOW HIRING)

Machine Learning Engineer

San Jose, CA · On-site

$125K - $234K/yr

Strong analytical and quantitative problem-solving ability. * Excellent communication, relationship skills and a great teammate. About Adobe Adobe empowers everyone to create through innovative ...

Design, develop, and maintain machine learning solutions that support advanced analytics and predictive modeling initiatives. * Build and optimize ML-ready data pipelines and data architectures using ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Collaborate with chemistry and biology research teams to design data pipelines, analyze ...

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong analytical and problem-solving skills. * Excellent communication and teamwork abilities.

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. They are seeking a highly motivated Machine Learning Engineer to design, develop ...

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. They are seeking a highly motivated Machine Learning Engineer to design, develop ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

next page

Showing results 1-20

Machine Learning Analysis information

See salary details

$22

$39

$60

How much do machine learning analysis jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for machine learning analysis in the United States is $39.52, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $43.27 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Analysis vs Data Scientist?

AspectMachine Learning AnalysisData Scientist
Required CredentialsTypically a degree in computer science, statistics, or related fields; certifications in machine learning or data analysisSimilar credentials; often includes advanced degrees in data science, statistics, or related areas
Work EnvironmentPrimarily focused on developing, testing, and deploying machine learning models in tech companies, research labs, or analytics firmsBroader role involving data collection, cleaning, analysis, and communicating insights across various industries
Employer & Industry UsageUsed in tech, finance, healthcare, and e-commerce for predictive modeling and automationApplied across industries for strategic decision-making, data-driven insights, and business intelligence

While both roles require strong analytical skills and knowledge of programming, Machine Learning Analysis specializes in creating models that automate predictions, whereas Data Scientists focus on comprehensive data analysis and storytelling to inform business strategies.

What cities are hiring for Machine Learning Analysis jobs? Cities with the most Machine Learning Analysis job openings:
Machine Learning Engineer

Machine Learning Engineer

Adobe, Inc.

San Jose, CA • On-site

$125K - $234K/yr

Full-time

Posted 5 days ago


Job description

The Opportunity
Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems through our customers' full lifecycle, from customer analytics to marketing media optimization.
By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis.
Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, analyzing data, and software development. Familiarity with working with large-scale datasets and scalable data handling approaches would be a plus.
What You'll Do
  • Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques.
  • Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
  • Collaborate with product management and engineering groups to develop new products and features.

What You Need to Succeed
  • PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
  • 0-2+ years of experience in specific skill/field(s)
  • Deep understanding of statistical modeling, machine learning, deep learning, or analytics approaches, and a track record of solving problems with these methods.
  • Proficient in one or more programming languages such as Python, Scala, Java and C
  • Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
  • Knowledge and experience of working with relational databases and SQL
  • Strong analytical and quantitative problem-solving ability.
  • Excellent communication, relationship skills and a great teammate.

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $125,600 -- $234,150 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $161,700 - $234,150
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982