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Interpretable Machine Learning Jobs (NOW HIRING)

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $400K/yr

About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...

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Interpretable Machine Learning information

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$25.5K

$42.6K

$88K

How much do interpretable machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for interpretable machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Interpretable Machine Learning Specialist, and why are they important?

To thrive as an Interpretable Machine Learning Specialist, you need a strong background in machine learning concepts, statistical analysis, and a relevant degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience using libraries like scikit-learn, SHAP, or LIME, and sometimes certifications in data science are commonly required. Exceptional communication, problem-solving, and critical thinking skills help translate complex models into understandable insights for stakeholders. These skills are crucial to ensure that machine learning models are transparent, trustworthy, and actionable in real-world decision-making.

What are some typical challenges faced when working in an Interpretable Machine Learning role?

Professionals in Interpretable Machine Learning often encounter the challenge of balancing model performance with transparency. It can be difficult to make highly accurate models, such as deep neural networks, understandable to non-technical stakeholders without sacrificing predictive power. Additionally, collaborating closely with domain experts and end users to ensure interpretability methods are both meaningful and actionable is a key part of the role. Regular communication across data science, engineering, and business teams is crucial to ensure that model interpretations align with organizational goals and regulatory requirements.

What is interpretable machine learning?

Interpretable machine learning refers to models and techniques that make it easier for humans to understand how and why a machine learning system makes its predictions or decisions. Unlike traditional 'black box' models, interpretable models provide transparency, enabling users to trace the reasoning behind outputs. This is especially important in fields like healthcare, finance, and law, where understanding model decisions is crucial for trust, accountability, and regulatory compliance. Methods for interpretability include using simpler models (like decision trees), feature importance scores, and visualization techniques. The goal is to balance predictive performance with the ability to explain results to stakeholders.

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

AspectInterpretable Machine LearningData Scientist
CredentialsKnowledge of ML algorithms, statistics, and interpretability techniquesDegree in data science, statistics, or related field; programming skills
Work EnvironmentFocus on model transparency, explainability, and ethical AIData analysis, model development, and business insights
Industry UsageHealthcare, finance, and regulated sectors requiring explainabilityWide industry application including tech, finance, healthcare

Interpretable Machine Learning specialists focus on creating models that are transparent and explainable, ensuring stakeholders understand how decisions are made. Data Scientists develop a broad range of models and analyze data to generate insights, often prioritizing accuracy over interpretability. While both roles require strong analytical skills, Interpretable Machine Learning emphasizes model transparency, making it essential in regulated industries.

Infographic showing various Interpretable Machine Learning job openings in the United States as of May 2026, with employment types broken down into 94% Part Time, 2% Temporary, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
2026 AI/ML Intern - Machine Learning Engineer

2026 AI/ML Intern - Machine Learning Engineer

Adobe

Austin, TX • On-site, Remote

$45 - $55/hr

Full-time

Posted 21 days ago

Job description

The Opportunity

Adobe is looking for a Machine Learning intern 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.

By using predictive models, experimental design methods, and optimization techniques, you will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.

All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.

What You'll Do

  • Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.

  • Develop and implement scalable, efficient, and interpretable 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

  • Currently enrolled full time and pursuing a Bachelor's, Master's or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 - June 2027

  • Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.

  • Proficient in one or more programming languages such as Python, Java and C

  • Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn

  • Strong analytical and quantitative problem-solving ability.

  • Excellent communication, relationship skills and a team player

  • Ability to participate in a full-time internship between May-September

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 positionis $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.

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

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

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.

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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

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