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Ml Ai Researcher Jobs (NOW HIRING)

Quantiphi, Inc.

Architect ML - AI Researcher

$65.25 - $84/hr

... research. Our work is rooted in delivering accelerated, quantifiable business value, not just ... Apply GenAI and LLM-based ML/AI techniques to develop, scale, and integrate model systems and ...

Vatic Labs

AI Researcher

New York, NY

$175K - $250K/yr

  • Medical

As an AI Researcher at Vatic Labs, you will research and develop innovative AI-driven quantitative ... Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including ...

Vatic Labs

AI Researcher

New York, NY · On-site

$175K - $250K/yr

  • Medical

As an AI Researcher at Vatic Labs, you will research and develop innovative AI-driven quantitative ... Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including ...

WHOOP

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. • 7+ years of experience in applied ML, AI research, or large-scale ...

Hume AI

AI Researcher

San Jose, CA · On-site +1

$180K - $350K/yr

Hume AI is seeking talented AI researchers interested in working with our team to build ... Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch) * Experience ...

Arnata

AI Researcher

San Francisco, CA · On-site

Required : • Proven experience doing applied AI research inside a product-driven company (e.g., OpenAI, Google, Anthropic, Meta, etc. or startups) • PhD or equivalent experience in AI, ML, NLP ...

Scout AI

AI Researcher

Sunnyvale, CA · On-site

  • Medical

  • Dental

  • Vision

  • PTO

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... This role sits at the intersection of cutting-edge ML research, real-world robotics, and defense.

Vatic Labs

AI Researcher - Vatic Labs

Manhattan, NY · On-site

$175K - $250K/yr

  • Medical

As an AI Researcher at Vatic Labs, you will research and develop innovative AI-driven quantitative ... Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including ...

Scout AI

AI Researcher

Sunnyvale, CA · On-site

$160K - $400K/yr

  • Medical

  • Dental

  • Vision

  • PTO

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... This role sits at the intersection of cutting-edge ML research, real-world robotics, and defense.

Tata Consultancy Services

AI Researcher

Santa Clara, CA · On-site

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on ... D in Computer Science, Robotics, Electrical/Electronics Engineering, Mechatronics, or AI/ML from a ...

Tata Consultancy Services

AI Researcher

Edison, NJ · On-site

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on ... D in Computer Science, Robotics, Electrical/Electronics Engineering, Mechatronics, or AI/ML from a ...

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

About the Role As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you'll work on ... D in Computer Science, Robotics, Electrical/Electronics Engineering, Mechatronics, or AI/ML from a ...

Whoop

Senior AI/ML Researcher (Foundation AI)

Boston, MA · On-site

$190K - $230K/yr

... ML, AI research, or large-scale modeling, with a track record of delivering production systems ... Expertise in modern deep learning (e.g., transformers, state space models), multimodal model ...

Traversal

AI Researcher

New York, NY · On-site

$160K - $300K/yr

  • Medical

Some experience shipping AI or ML systems to production * Ability to run rigorous experiments ... Research experience in LLMs, agents, or reinforcement learning, including publications in venues ...

Traversal

AI Researcher

Manhattan, NY · On-site

As an AI Researcher, you will train intelligent AI agents for root cause analysis in high-pressure ... or ML orchestration platforms. Company : Traversal is building the AI SRE for the enterprise.

1X Technologies AS

AI Researcher

San Carlos, CA · On-site

$250K - $350K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Lab The 1X World Model Lab is an embodied AI research organization focused on pretraining ... ML Infrastructure Own the distributed training and inference systems that keep GPUs fully utilized.

Booz Allen Hamilton, Inc.

AI Researcher

Chantilly, VA · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Share AI Researcher The Opportunity: As an analytics professional, you're excited at the prospect ... Your deep AI and ML, statistical expertise, and advising mindset, coupled with an original approach ...

Booz Allen Hamilton, Inc.

AI Researcher

Chantilly, VA · On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

AI Researcher The Opportunity: As an analytics professional, you're excited at the prospect of ... Your deep AI and ML, statistical expertise, and advising mindset, coupled with an original approach ...

Xometry

Senior Principal, ML/AI

North Bethesda, MD

$125K - $173K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience mentoring and guiding teams of ML engineers / data scientists / AI researchers, shaping team culture, practices, and career growth The estimated base salary range for new hires into this ...

Xometry

Senior Principal, ML/AI

Waltham, MA · On-site

$135K - $186K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience mentoring and guiding teams of ML engineers / data scientists / AI researchers, shaping team culture, practices, and career growth The estimated base salary range for new hires into this ...

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Ml Ai Researcher information

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$30K

$113.1K

$164.5K

How much do ml ai researcher jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ml ai 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 does an ML AI researcher do?

An ML/AI Researcher focuses on advancing the field of machine learning and artificial intelligence by developing new algorithms, models, and methodologies. Their work involves conducting experiments, analyzing data, publishing research papers, and collaborating with teams to solve complex problems. They often work in academic, industrial, or governmental research settings to push the boundaries of what AI systems can achieve.

What is the difference between Ml Ai Researcher vs Data Scientist?

AspectML AI ResearcherData Scientist
Required SkillsMachine learning, AI algorithms, programming (Python, TensorFlow)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch labs, tech companies, academiaBusiness environments, analytics teams, consulting
Typical TasksDeveloping AI models, research papers, algorithm innovationData analysis, reporting, predictive modeling

ML AI Researchers focus on developing and improving AI and machine learning algorithms, often working in research settings or R&D departments. Data Scientists analyze data to extract insights and build predictive models for business applications. While both roles require programming skills, ML AI Researchers emphasize algorithm development and research, whereas Data Scientists focus on data analysis and interpretation.

What are the key skills and qualifications needed to thrive as an ML AI researcher?

To thrive as an ML/AI Researcher, you need a strong background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by an advanced degree (MS or PhD) in a related field. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with research tools and academic publishing are typically required. Critical thinking, creativity, and effective communication skills help researchers generate novel ideas and collaborate across multidisciplinary teams. These skills are vital for driving innovation, publishing impactful research, and advancing the state-of-the-art in machine learning and artificial intelligence.

What are some common challenges faced by ML AI researchers when transitioning from academic research to industry roles?

ML/AI researchers moving from academia to industry often encounter challenges such as adapting to faster development cycles, prioritizing practical product impact over theoretical novelty, and collaborating more closely with cross-functional teams. In industry, timelines are tighter and deliverables are shaped by business needs, so researchers must learn to balance rigorous experimentation with the need to deploy models at scale. Additionally, there is often greater emphasis on reproducibility, code quality, and collaboration with engineers and product managers to ensure research outcomes translate effectively into real-world applications.
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Ml Ai Researcher jobs near you
Infographic showing various Ml Ai Researcher job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Architect ML - AI Researcher

Quantiphi, Inc.

Remote

$65.25 - $84/hr

Full-time

Re-posted 5 days ago

Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
About Quantiphi:
Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.
Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake.
Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
We've been recognized with:
  • 17x Google Cloud Partner of the Year awards in the last 8 years.
  • 3x AWS AI/ML award wins.
  • 3x NVIDIA Partner of the Year titles.
  • 2x Snowflake Partner of the Year awards.
  • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
  • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that's shaping the future of AI, ML, and cloud innovation.
Your next big opportunity starts here!
For more details, visit: Website or LinkedIn Page.
Role:Architect Machine Learning
Experience Level:10+ yrs
Work Location:USA - Remote
Role Overview:
As an ATA Machine Learning Engineer in healthcare, you'll deliver multi-geography projects, empowering healthcare organizations with data ingestion, cloud services, and DevOps. You'll collaborate with Cloud, Software, and Data Engineering teams to build platforms and solutions for digital diagnosis, software as a medical product, and AI marketplaces.
Key Responsibilities:
  • Apply GenAI and LLM-based ML/AI techniques to develop, scale, and integrate model systems and solutions into large-scale cloud-based SaaS production environments for healthcare.
  • Design, build, and evaluate solutions for healthcare use cases (e.g., predictive models, summarization, semantic search), performing research, experimentation, data management, and model evaluation.
  • Develop high-level solution architectures, collaborating with offshore big-data engineers and decision science analysts to build, test, and assess models predicting and optimizing client business outcomes.
  • Ensure responsible AI practices, including quality, fairness, and safety, using frameworks like LLM-as-judge, RAGAS, and LangSmith.
  • Translate complex insights into simple, quantifiable business impacts for clients, cultivating deep relationships by understanding their needs.
  • Lead technical discussions on architecture design and troubleshooting with clients, proactively providing solutions, and mentor senior resources/team leads.
  • Collaborate across functions (product, clinical, data science, engineering) and with offshore delivery managers to ensure seamless communication and delivery.
  • Contribute to a collaborative team culture, sharing knowledge, and identifying sales opportunities.

Basic Qualifications:
Must have:
  • Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI
  • Proven industry experience through multiple major product releases in a commercial SaaS environment.
  • Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).
  • Proficiency in Python. Proficiency in Java or other languages is helpful.
  • Proficiency with SQL and data engineering for AI/ML applications.
  • Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
  • Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
  • Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.
  • Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.
  • Strong communication and collaboration skills; comfortable working on a distributed team.
  • Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).

Leadership qualities
  • Provide thought leadership to the team and bring industry best practices to the project.
  • Ability to lead technology teams and provide them mentorship / support to accelerate performance.
  • Ability to handle conflicts effectively by managing internal and external stakeholders
  • Experience in leading multiple large projects as well as a deep understanding of Agile developments
  • Effective communication with all the stakeholders involved.
  • communicate clearly about complex subjects and technical plans with technical and non technical audiences.

Good to have:
  • Hands-on experience with statistical tools and techniques
  • Experience with Agile/Scrum/DevOps software development methodologies.
  • Critical eye for the quality of data and strong desire to get it right.

Other Qualifications (OQs):
  • Effective communication with all the stakeholders involved
  • Need to communicate clearly about complex subjects and technical plans
  • Ability to mentor and groom junior members of the team and provide them with guidance and roadmap.
  • Must also have the ability to interact with other members of the team (Juniors, Seniors, ATA, TA, BA, etc) to get their designs from concept to development
  • Keeping various audiences in mind, engineers must write their reports in clear language accessible to all.

What's in it for YOU at Quantiphi:
  • Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
  • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
  • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
  • Stay ahead of the curve-immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Apply