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Senior Machine Learning Researcher Jobs (NOW HIRING)

Machine Learning Researcher

New York, NY · On-site

$175K - $250K/yr

As a Machine Learning Researcher , you will play a pivotal role in pushing the boundaries of what's possible with AI in education. Your work will assist teachers by personalizing their teaching ...

Senior Machine Learning Engineer As a Senior Machine Learning Engineer within the AI Squad at ... reproducible research methodologies. * Collaborate with cross-functional stakeholders including ...

Senior Machine Learning Engineer

Boston, MA · On-site

$113K - $155K/yr

You'll turn cutting-edge machine learning research into scalable, production-ready systems that ... What you'll do as a Senior Machine Learning Engineer * Design and refine scalable pipelines for ...

As a Machine Learning Researcher , you will play a pivotal role in pushing the boundaries of what's possible with AI in education. Your work will assist teachers by personalizing their teaching ...

As a Machine Learning Researcher , you will play a pivotal role in pushing the boundaries of what's possible with AI in education. Your work will assist teachers by personalizing their teaching ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

You'll turn cutting-edge machine learning research into scalable, production-ready systems that ... What you'll do as a Senior Machine Learning Engineer * Design and refine scalable pipelines for ...

Perform reinforcement learning research to improve model alignment and capability * Develop and improve our distillation pipeline for training high-quality models from frontier teachers * Train ...

Senior Machine Learning Expert

Denver, CO · Remote

$89K - $110K/yr

Senior Machine Learning Expert (AI Training) About the Role What if your deep understanding of ... Deep expertise in Machine Learning, AI research, or a closely related technical field * Strong ...

Senior Machine Learning Expert

Manhattan, NY · Remote

$95K - $118K/yr

Senior Machine Learning Expert (AI Training) About the Role What if your deep expertise in machine ... Significant hands-on experience in machine learning, AI research, or a closely related technical ...

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry ... When successful, your research will be deployed into millions of vehicles worldwide. This is an ...

Senior Machine Learning Scientist

San Jose, CA · On-site +1

$107K - $146K/yr

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building ... Read and apply relevant academic and industry research to improve model architectures, training ...

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Senior Machine Learning Researcher information

See salary details

$28.5K

$76.6K

$137.5K

How much do senior machine learning researcher jobs pay per year?

As of Jun 18, 2026, the average yearly pay for senior machine learning researcher in the United States is $76,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What opportunities for collaboration typically exist for Senior Machine Learning Researchers within a company?

Senior Machine Learning Researchers frequently collaborate with cross-functional teams, including data engineers, software developers, and domain experts. This collaboration ensures that research insights are effectively translated into scalable solutions and integrated into products or services. Researchers often participate in brainstorming sessions, code reviews, and joint publications, fostering a culture of innovation and shared knowledge. These interactions not only drive the success of projects but also provide valuable learning experiences and networking opportunities.

What does a Senior Machine Learning Researcher do?

A Senior Machine Learning Researcher leads the development and application of advanced machine learning models to solve complex problems. They are responsible for designing experiments, analyzing large datasets, publishing research findings, and collaborating with engineering teams to implement solutions. Additionally, they mentor junior researchers, stay updated with the latest advancements in AI, and often contribute to setting the research agenda for their organization.

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

AspectSenior Machine Learning ResearcherData Scientist
CredentialsAdvanced degrees in CS, ML, or related fieldsDegree in CS, statistics, or related fields; certifications optional
Work EnvironmentResearch labs, R&D teams, academiaBusiness analytics, product teams, startups
Industry UsageResearch-focused roles in tech, academia, R&DData analysis, business insights, product development
Search & Comparison IntentUnderstanding research vs applied roles in MLExploring data analysis careers and skills

While both roles involve working with data and machine learning, a Senior Machine Learning Researcher primarily focuses on developing new algorithms and advancing ML theory in research settings. In contrast, a Data Scientist applies existing models to analyze data, generate insights, and support business decisions. The roles differ mainly in their focus—research innovation versus practical application—though they share overlapping skills and credentials.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Researcher, and why are they important?

To thrive as a Senior Machine Learning Researcher, you need advanced knowledge in machine learning algorithms, statistical analysis, programming (typically in Python), and a relevant advanced degree such as a PhD or Master's in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, as well as familiarity with cloud computing platforms and research publication, is often required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and present complex ideas clearly. These skills and qualities are essential for driving innovation, developing robust models, and translating research into practical, impactful solutions.
More about Senior Machine Learning Researcher jobs
What cities are hiring for Senior Machine Learning Researcher jobs? Cities with the most Senior Machine Learning Researcher job openings:
What are the most commonly searched types of Machine Learning Researcher jobs? The most popular types of Machine Learning Researcher jobs are:
What states have the most Senior Machine Learning Researcher jobs? States with the most job openings for Senior Machine Learning Researcher jobs include:
Infographic showing various Senior Machine Learning Researcher job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $76,607 per year, or $36.8 per hour.
Machine Learning Researcher

Machine Learning Researcher

Kiddom

New York, NY • On-site

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 8 days ago


Job description

About Kiddom
Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum - resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom's high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning.
Join our mission to revolutionize K-12 education at the intersection of cutting-edge AI and impactful learning outcomes. As a Machine Learning Researcher, you will play a pivotal role in pushing the boundaries of what's possible with AI in education. Your work will assist teachers by personalizing their teaching experience and improving student outcomes. This role combines technical excellence with an opportunity to make a tangible impact on the lives of educators and students nationwide.
What We're Looking For:
  • At least 1+ year working with generative AI models.
  • Hands-on experience with generative AI technologies, including prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, and evaluation of large language model applications.
  • Proficiency in Python programming and version control.
  • Strong understanding of the latest AI trends and practices to maintain state-of-the-art solutions.
  • Collaboration: Excellent communication skills to work effectively with cross-functional teams.
  • PhD or Master's in Computer Science, Data Science, or a related field, or equivalent experience.

Nice to have:
  • Experience in the EdTech industry or a strong interest in K-12 education.
  • Knowledge of educational pedagogy or curriculum development.
  • Hands-on experience with multi-modal models.
  • Familiarity with software engineering practices such as Test-Driven Development (TDD) and CI/CD pipelines.
  • Interest or experience in authoring research papers or white papers.

Why Join Us?
  • Make a Tangible Impact: Contribute to improving K-12 education by empowering teachers and enhancing student learning experiences.
  • Work on Cutting-Edge AI: Dive into the latest advancements, including prompt engineering, RAG, multi-modal models, and more.
  • Collaborate with Passionate Teams: Be part of a diverse team of engineers, designers, product managers, and educators who are driven to solve meaningful problems.
  • Growth and Learning Opportunities: Stay at the forefront of AI research and technology in a supportive, innovative environment.

$175,000 - $250,000 a year
Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.
What we offer
Full time permanent employees are eligible for the following benefits from their first day of employment:
* Competitive salary
* Meaningful equity
* Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
* One Medical membership (in participating locations)
* Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year.
* 10 paid sick days per year (pro rated depending on start date)
* Paid holidays
* Paid bereavement leave
* Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
* Commuter and FSA plans
Equal Employment Opportunity Policy
Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.