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Ml Researcher Jobs (NOW HIRING)

Applied AI ML Researcher Lead

Palo Alto, CA · On-site +1

$191K/yr

You will bridge cutting-edge research and enterprise-grade delivery, shaping how applied AI is designed, evaluated, and deployed at scale. You will partner closely with business and technology ...

Applied AI ML Researcher Lead

Jersey City, NJ · On-site

$174K/yr

You will bridge cutting-edge research and enterprise-grade delivery, shaping how applied AI is designed, evaluated, and deployed at scale. You will partner closely with business and technology ...

Lead applied research initiatives in generative AI and model efficiency * Prototype and implement novel ML techniques for largescale inference * Design experiments, analyze results, and translate ...

Lead applied research initiatives in generative AI and model efficiency * Prototype and implement novel ML techniques for largescale inference * Design experiments, analyze results, and translate ...

ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) Type: Contract Compensation: $110-$145/hour Location: Remote Role Responsibilities * Evaluate the accuracy and depth of AI-generated ...

New

This role is part of a central ML research team that collaborates across trading teams at IMC. The ideal candidate will have experience working with other researchers and engineers to build and ...

ML Features Solutions Engineer

Austin, TX · On-site

$81K - $109K/yr

The ML Features Solutions Engineer will focus on developing and optimizing core ML features for enterprise deployment, bridging the gap between ML research and product engineering. Responsibilities ...

In this role you are expected to collaborate closely with ML researchers, SW/FW engineers, and Operation/Data engineers to advance different research and production efforts. Your role is to help ...

They are seeking a talented AI/ML Research Engineer to implement, scale, and optimize machine learning systems that enhance their protein design capabilities, contributing to the development of ...

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

Showing results 41-60

Ml Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do ml researcher jobs pay per year?

As of Aug 11, 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 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.

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 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.

How to become an ML researcher?

To become an ML researcher, typically a strong background in computer science, mathematics, or related fields is required, often including a master's or Ph.D. in machine learning, artificial intelligence, or a similar area. Developing skills in programming languages like Python, proficiency with machine learning frameworks such as TensorFlow or PyTorch, and gaining experience through research projects or publications are essential steps.
More about Ml Researcher jobs
What cities are hiring for Ml Researcher jobs? Cities with the most Ml Researcher job openings:
What are the most commonly searched types of Ml Researcher jobs? The most popular types of Ml Researcher jobs are:
What states have the most Ml Researcher jobs? States with the most job openings for Ml Researcher jobs include:
Infographic showing various Ml Researcher job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Machine Learning Applied Researcher - Speech, Vision and Audio

Apple

Cambridge, MA • On-site

Full-time

Re-posted 26 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
Minimum Qualifications
BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
Experience in academic or industry research.
Experience working with Pytorch.
Preferred Qualifications
MS or PhD in Computer Science, Electrical Engineering, or a related field.
Strong foundation in deep learning theory and hands-on experience training large-scale models.
Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976