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Ml Researcher Jobs (NOW HIRING)

Valence AI

Machine Learning Researcher

San Francisco, CA · On-site

$100 - $150/hr

We are looking for an ML researcher who will be responsible for designing, training, and testing data pipelines and ML models while collaborating with current developers on existing models and ...

Apple

AIML - ML Researcher, AFM

Cupertino, CA · On-site

If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...

Apple

AIML - ML Researcher, AFM

Cupertino, CA

$184K - $324K/yr

If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...

Apple

AIML - ML Researcher, AFM

Cupertino, CA

$184K - $324K/yr

If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...

Apple

AIML - ML Researcher, AFM

Cupertino, CA

$184K - $324K/yr

If you're drawn to hard problems where the research and the product are inseparable, this is the team Description We believe that the most interesting problems in deep learning research arise when we ...

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

In this role, you'll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You'll collaborate closely with data scientists, ML ...

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$30K

$113.1K

$164.5K

How much do ml researcher jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ml researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What is an ML researcher?

ML Researchers, or Machine Learning Researchers, are professionals who develop new algorithms, models, and techniques in the field of machine learning. They work on advancing the theoretical foundations of AI, as well as creating practical applications for industries such as healthcare, finance, and technology. Their work often involves designing experiments, analyzing large datasets, and publishing findings in academic journals or conferences. ML Researchers collaborate with engineers and data scientists to move innovations from theory to real-world solutions.

What are the key skills and qualifications needed to thrive as an ML researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need a solid background in mathematics, statistics, programming (typically Python), and a relevant advanced degree such as a Master's or Ph.D. in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and experience with large datasets and cloud computing platforms are commonly required. Strong problem-solving abilities, creativity, and effective communication are vital soft skills for innovating and sharing complex ideas. These skills and qualities enable researchers to advance the state of the art, collaborate effectively, and translate research into practical applications.

What are some common challenges ML researchers face when transitioning from academia to industry roles?

ML Researchers often find that transitioning from academia to industry involves adjusting to faster project timelines, a greater focus on practical applications, and more collaborative, cross-functional teams. Unlike academic research, industry roles typically require aligning research objectives with business goals and demonstrating clear value through measurable outcomes. Additionally, researchers may need to adapt to using large-scale production data, deploying models, and maintaining solutions in real-world environments. Embracing agile methodologies and effective communication with stakeholders from diverse backgrounds are key to overcoming these challenges.

What is the difference between Ml Researcher vs Data Scientist?

AspectML ResearcherData Scientist
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, academiaCorporate sectors, finance, healthcare, marketing
Common Search & ComparisonYesYes

While both roles involve working with data and algorithms, ML Researchers focus on developing new machine learning models and advancing AI research, often in academic or research settings. Data Scientists analyze data to derive insights and support business decisions, typically working in industry environments. Understanding these differences helps clarify career paths and job expectations.

How to become an ML researcher?

To become an ML researcher, one typically needs a strong background in computer science, mathematics, or related fields, often demonstrated by a master's or Ph.D. degree. Developing expertise in machine learning algorithms, programming skills in languages like Python, and experience with tools such as TensorFlow or PyTorch are essential. Engaging in research projects, publishing papers, and staying current with advancements in the field also support career development.
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Ml Researcher jobs near you
Infographic showing various Ml Researcher job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Applied AI/ML Researcher - Vice President

JP Morgan Chase

Palo Alto, CA

Full-time

Medical, Retirement

Posted 26 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 496 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

As an Applied AI/ML Researcher within the AI4Tech Team at JPMorgan Chase, you will lead technology research and development initiatives focused on advancing AI capabilities across the firm. Leveraging your deep engineering expertise, you will collaborate with agile teams to drive innovation in developer productivity, CI/CD, observability, incident response, and the secure, compliant integration of AI into technical operations. Your role emphasizes establishing and nurturing common capabilities, best practices, and reusable frameworks to support AI excellence and consistency throughout the organization. You will blend hands-on technical work with strategic and advisory responsibilities, guiding platform choices, operating models, and controls in a regulated enterprise environment. Staying abreast of industry trends and technological advancements, you will help shape the future of AI-driven technology at JPMorgan Chase.

Job Responsibilities


- Conduct applied research and development on GenAI and agentic AI solutions to enhance developer productivity, CI/CD automation, observability, and operational resilience.
- Design, prototype, and evaluate AI-driven tools and frameworks that streamline engineering workflows, improve code quality, and accelerate technology delivery.
- Establish and promote best practices, reusable components, and common capabilities for integrating AI into technology platforms in a secure, stable, and scalable manner.
- Collaborate with agile engineering teams to identify opportunities for AI adoption, provide technical guidance, and support the implementation of innovative solutions.
- Develop and maintain policies, guardrails, and controls to ensure responsible, compliant, and auditable use of AI technologies within the enterprise.
- Monitor industry trends, emerging technologies, and best practices to inform strategic direction and maintain the firm's leadership in AI-driven technology innovation.
- Communicate research findings, technical insights, and recommendations to both technical and non-technical stakeholders through clear documentation, presentations, and decision briefs.


Required qualifications, skills and capabilities


- Advanced degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience in software engineering, applied AI/ML research, or technology R&D, with strong proficiency in Python and familiarity with modern development tools and cloud platforms (AWS, Azure, GCP).
- Handson experience with containers, Kubernetes, and infrastructure as code.
- Hands-on experience with GenAI, agentic AI, prompt engineering, function/tool calling, and integrating AI into developer and operational workflows.
- Deep understanding of CI/CD pipelines, developer productivity tooling, observability, and incident response in large-scale, regulated environments.
- Strong background in secure software development, data privacy, access controls, and compliance requirements.
- Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences and drive cross-functional collaboration.
- Demonstrated ability to innovate, challenge the status quo, and deliver impactful technology solutions in a fast-paced, enterprise setting.

(i) This position is subject to Section 19 of the Federal Deposit Insurance Act.  
(ii) An employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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