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Ai Research Jobs (NOW HIRING)

As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

The AI Research Director will lead webAI's advanced research initiatives across large language models, multimodal systems, edge inference, and distributed AI. This role drives the scientific vision ...

AI Research Internship

Oakland, CA · On-site

$50 - $60/hr

The AI Assurance research program focuses on both developing AI for assurance and assurance of AI, building expertise across AI, digital transformation, risk, and assurance science. Would you like to ...

New

As an AI Research Scientist II at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

AI Research Internship

Oakland, CA · Hybrid

$50 - $60/hr

The AI Assurance research program focuses on both developing AI for assurance and assurance of AI, building expertise across AI, digital transformation, risk, and assurance science. Would you like to ...

New

AI Research Engineer

San Francisco, CA · On-site

$241K/yr

Are you a hands-on innovator with a passion for discovering how AI can solve real-world problems? We Are The Accenture Digital Experiences R&D Group works to advance the frontiers of human-machine ...

AI Research Engineer

San Francisco, CA · On-site

$100K - $300K/yr

Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality. Since coming out of stealth ...

As an AI Research Scientist II at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel ...

AI Research Engineer

New York, NY · On-site

$300K - $400K/yr

The Role As an AI Research Engineer at Normal, you will push the frontier of agentic LLMs and reinforcement learning for our agentic code generation tool. You'll design and run experiments, build ...

AI Research Scientist

San Francisco, CA · On-site

$160K - $220K/yr

About the Role We're looking for an AI Research Scientist to advance the methodological frontier of AI in healthcare. This role is ideal for someone who has demonstrated strong research taste, deep ...

New

The AI Research Scientist will work within webAI's Intelligence Lab as the "brain" of development. Their primary objective is to push the boundaries of what is possible. While they collaborate with ...

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Ai Research information

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

To thrive as an AI Researcher, you need a strong background in mathematics, computer science, and machine learning, typically supported by an advanced degree (Master’s or PhD) in a related field. Proficiency with programming languages such as Python, deep learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are essential. Creativity, critical thinking, and effective collaboration are vital soft skills for innovating and communicating complex ideas. These skills ensure researchers can develop novel AI solutions, contribute to cutting-edge advancements, and work effectively within interdisciplinary teams.

What is the difference between Ai Research vs Data Scientist?

AspectAi ResearchData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, tech companies, analytics teams
Industry UsageDeveloping new AI algorithms, models, and theoriesAnalyzing data, building predictive models, generating insights

While both roles involve working with data and algorithms, Ai Research focuses on developing new AI methods and theories, often in research settings. Data Scientists apply these techniques to solve practical business problems through data analysis and modeling. The roles overlap in skills and tools but differ mainly in their objectives and work environments.

What is AI research?

AI research is the scientific study and development of algorithms, models, and systems that enable computers to perform tasks that typically require human intelligence. This includes areas such as machine learning, natural language processing, computer vision, robotics, and reasoning. AI researchers work to advance the field by creating new methods, improving existing technologies, and exploring ethical and societal impacts of artificial intelligence. Their work is crucial in driving innovation across industries, from healthcare to autonomous vehicles.

What are some common challenges faced by AI researchers when working on real-world projects?

AI researchers often encounter challenges such as dealing with insufficient or biased data, ensuring model interpretability, and balancing research innovation with project deadlines. Collaborating closely with data engineers, software developers, and domain experts is essential to address these hurdles and translate theoretical models into practical solutions. Additionally, aligning research outcomes with business goals while keeping up with the rapidly evolving AI landscape can be demanding, but it also provides valuable opportunities for continuous learning and career development.
More about Ai Research jobs
What cities are hiring for Ai Research jobs? Cities with the most Ai Research job openings:
What are the most commonly searched types of Ai Research jobs? The most popular types of Ai Research jobs are:
What states have the most Ai Research jobs? States with the most job openings for Ai Research jobs include:
Infographic showing various Ai Research job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

AI Research Scientist I

1910

Boston, MA

Full-time

PTO

Re-posted 24 days ago


Job description

Company Overview

We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery.

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.

Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas.

As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910's productionized AI/ML models.

Role Description

  • Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design pipeline 
  • Apply productized AI and Machine Learning models to advance 1910's active drug design campaigns with the support of senior members of the AI Research Team
  • Write and publish peer reviewed scientific articles with the support of senior members of the AI Research Team
  • Periodically presenting recent AI research at internal journal clubs 
  • Learn how a molecule processes through the drug discovery process
  • Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions
  • Keep up-to-date on cutting-edge research in the AI for drug discovery space 

Qualifications

  • PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.)
  • A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.) 
  • Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.) 
  • Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories.
  • Familiarity with MLOps and DevOps best practices 
  • Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.) 
  • Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs
  • Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials

Nice to Haves

  • An understanding of how a molecule progresses through the drug discovery process
  • Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.)

#LI-Onsite

Diversity and Inclusion (1910's Promise)

At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 is proud to be an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While 1910 supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

Benefits and Perks

  • Competitive compensation package
  • Above market benefits
  • Generous vacation and parental leave
  • Super cool team building activities
  • Great colleagues