AI Research Scientist Jobs

Discover the latest remote and onsite AI Research Scientist roles across top active AI companies. Updated hourly.

Check out 275 new AI Research Scientist opportunities posted on The Homebase

Research Intern, Model Shaping (Summer 2026)

New
Top rated
Together AI
Full-time
Full-time
Posted

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Take advantage of the computational infrastructure of Together to create the best open models in their class. Understand and improve the full lifecycle of building open models and release and publish insights such as blogs and academic papers. Collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base. Stay up-to-date with the latest advancements in machine learning.

$160,000 – $230,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Onsite

Research Intern RL & Post-Training Systems, Turbo (Summer 2026)

New
Top rated
Together AI
Full-time
Full-time
Posted

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art. Take advantage of the computational infrastructure of Together to create the best open models in their class. Understand and improve the full lifecycle of building open models; release and publish insights through blogs, academic papers, etc. Collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base. Stay up-to-date with the latest advancements in machine learning.

$160,000 – $230,000
Undisclosed
YEAR

(USD)

San Francisco
Maybe global
Onsite

Senior Recruiting Coordinator

New
Top rated
Together AI
Full-time
Full-time
Posted

Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations that significantly improve over state-of-the-art; take advantage of the computational infrastructure of Together to create the best open models in their class; understand and improve the full lifecycle of building open models; release and publish insights (blogs, academic papers, etc.); collaborate with cross-functional teams to deploy models and make them available to a wider community and customer base; stay up-to-date with the latest advancements in machine learning.

$160,000 – $230,000
Undisclosed
YEAR

(USD)

San Francisco
Maybe global
Onsite

AI Research Scientist

New
Top rated
webAI
Full-time
Full-time
Posted

The AI Research Scientist is responsible for designing, training, and optimizing machine learning models including large language models, multimodal models, transformers, and diffusion architectures. They conduct research on model efficiency, quantization, compression, and on-device deployment, prototype novel model architectures, training methods, and inference strategies for distributed AI. They also develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance, collaborate with engineering teams to integrate research findings into production systems, stay current on leading research in deep learning, generative AI, and distributed ML, analyze experimental results and communicate insights to technical and non-technical stakeholders, document research findings, contribute to internal papers, present technical work across the organization, and identify emerging technologies to propose research directions aligned with company strategic priorities.

Undisclosed

()

Austin, United States
Maybe global
Onsite

Research Engineer

New
Top rated
Mercor
Full-time
Full-time
Posted

Work on post-training and RLVR pipelines to understand how datasets, rewards, and training strategies impact model performance. Design and run reward-shaping experiments and algorithmic improvements to improve LLM tool-use, agentic behavior, and real-world reasoning. Quantify data usability, quality, and performance uplift on key benchmarks. Build and maintain data generation and augmentation pipelines that scale with training needs. Create and refine rubrics, evaluators, and scoring frameworks that guide training and evaluation decisions. Build and operate LLM evaluation systems, benchmarks, and metrics at scale. Collaborate closely with AI researchers, applied AI teams, and experts producing training data. Operate in a fast-paced, experimental research environment with rapid iteration cycles and high ownership.

$130,000 – $500,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Onsite

Research Scientist

New
Top rated
ASAPP
Full-time
Full-time
Posted

The Research Scientist will engage in hands-on technical work across all phases of research projects, from early exploration to developing working prototypes for real-world applications. They will take a leadership role in identifying promising AI applications relevant to the company's mission, formulate and advocate for research programs, and drive impactful initiatives. Collaboration with cross-functional teams to share research findings, advocate for their practical use, and guide productization efforts is required. Additionally, the role includes documenting experimental results, contributing to peer-reviewed publications, participating in patenting innovations, and mentoring junior researchers to help them develop their independent research and communication skills.

Undisclosed

()

Argentina
Maybe global
Hybrid

Research Scientist

New
Top rated
ASAPP
Full-time
Full-time
Posted

Work on solving scientific challenges related to Conversational AI to build domain-specific, real-world solutions. Engage in hands-on technical work in all aspects of research projects from early exploration to working prototypes to achieve successful real-world applications. Identify promising applications of AI relevant to ASAPP’s core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives. Collaborate with cross-functional teams to socialize research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions. Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovations. Mentor and guide junior researchers, helping them develop their skills in independent research and communication of their findings.

Undisclosed

()

Bangalore, India
Maybe global
Hybrid

Research Lead, Conversational AI

New
Top rated
ASAPP
Full-time
Full-time
Posted

Lead, mentor, and grow a team of research scientists and engineers working on spoken conversational AI research initiatives. Be deeply involved in hands-on technical work in all aspects of research projects from early exploration to working prototypes to achieve successful real-world applications. Identify promising applications of AI relevant to ASAPP's core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives. Collaborate with cross-functional teams to socialize research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions. Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovations. Mentor and guide junior researchers to develop their skills in independent research and communication of findings.

Undisclosed

()

Argentina
Maybe global
Onsite

Research Lead, Conversational AI

New
Top rated
ASAPP
Full-time
Full-time
Posted

Lead, mentor and grow a team of research scientists and engineers working on spoken conversational AI research initiatives. Be deeply involved in hands-on technical work in any and all aspects of research projects from early exploration to working prototypes to achieve successful real-world applications. Identify promising applications of AI relevant to ASAPP’s core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives. Work with cross-functional teams to socialize research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions. Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovations. Mentor and guide junior researchers, helping them develop their skills in independent research and communication of their findings.

$270,000 – $290,000
Undisclosed
YEAR

(USD)

New York, United States
Maybe global
Hybrid

Research Engineer

New
Top rated
ASAPP
Full-time
Full-time
Posted

Research Engineers at ASAPP design, develop, and evaluate novel techniques in AI to advance the capabilities and impact of ASAPP’s products. They collaborate with product and engineering teams to ensure project success during the research phase and afterwards. They also build and maintain research datasets, infrastructure, and toolkits, and work with other functions at ASAPP to identify research opportunities.

Undisclosed

()

Bangalore, India
Maybe global
Hybrid

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Frequently Asked Questions

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[{"question":"What does an AI Research Scientist do?","answer":"AI Research Scientists conduct research to advance artificial intelligence by developing novel algorithms, techniques, and methodologies. They design experiments, build models, test theories, and analyze results to create new AI capabilities. These researchers implement prototypes using machine learning frameworks, validate systems, and document findings. They frequently publish in academic journals and present at conferences. AI Research Scientists collaborate with cross-functional teams to apply research findings to real-world problems. They also mentor junior researchers, provide technical leadership, and continuously monitor emerging AI trends in specialized areas like deep learning, natural language processing, and computer vision."},{"question":"What skills are required for AI Research Scientists?","answer":"AI Research Scientists need strong theoretical knowledge in mathematics, statistics, and computational methods. Programming proficiency in Python and frameworks like TensorFlow or PyTorch is essential. They must excel at experimental design, hypothesis testing, and data analysis. Critical thinking and problem-solving abilities help navigate complex research challenges. Expertise in specific AI domains such as deep learning, reinforcement learning, or natural language processing is typically required. Communication skills for publishing papers and presenting findings are crucial. Collaboration abilities support interdisciplinary work with engineers, domain experts, and stakeholders. Ethical research practices and knowledge of research methodologies round out the necessary skillset."},{"question":"What qualifications are needed for AI Research Scientists?","answer":"Most AI Research Scientist positions require a PhD in artificial intelligence, machine learning, computer science, or related fields. Employers like Meta explicitly specify this educational requirement in job postings. Candidates need demonstrated expertise in specific AI subfields such as machine learning, deep learning, or specialized areas like large language models. A strong publication record in peer-reviewed journals or at major AI conferences (NeurIPS, ICML, ICLR) is typically expected. Prior research experience developing novel algorithms and conducting experiments is essential. Some positions may accept exceptional candidates with Master's degrees who have substantial research contributions or publications in relevant AI domains."},{"question":"What is the salary range for AI Research Scientists?","answer":"Salaries for AI Research Scientists vary based on several factors including education level, research specialty, publication record, and prior contributions to the field. Geographic location significantly impacts compensation, with positions in tech hubs like San Francisco or New York typically paying more. Employer type affects pay scales—research positions at top tech companies often offer higher compensation than academic or nonprofit research labs. Experience level creates substantial variation, with senior scientists commanding significantly higher salaries. Specialized expertise in high-demand areas like large language models or reinforcement learning can command premium compensation. Many roles include additional compensation through research bonuses, stock options, or conference funding."},{"question":"How long does it take to get hired as an AI Research Scientist?","answer":"The hiring process for AI Research Scientists typically takes 2-4 months from application to offer. The timeline includes initial screening, technical interviews assessing research expertise, and evaluation of published work. Many employers require candidates to present previous research or complete a research proposal task. PhD candidates may face longer timelines as companies evaluate their dissertation research and publication potential. The process often includes multiple rounds of interviews with research teams and leadership. Specialized positions focusing on cutting-edge areas like foundation models or AI safety may have extended evaluation periods as employers carefully assess candidates' expertise in these emerging fields."},{"question":"Are AI Research Scientists in demand?","answer":"AI Research Scientists are currently in high demand, with major organizations like Meta, OpenAI, and leading research institutions actively recruiting. Demand is particularly strong in specialized areas such as large language models, generative AI, reinforcement learning, and AI safety. Research institutions, universities, tech firms, and even freelance opportunities are available across subfields like NLP, robotics, and computer vision. The push to advance AI capabilities drives consistent demand for researchers who can develop novel algorithms and techniques. Competition remains fierce for top positions, with employers seeking candidates who have demonstrated innovation through published research, conference presentations, and practical implementations of theoretical work."},{"question":"What is the difference between AI Research Scientist and Data Scientist?","answer":"AI Research Scientists focus on creating new AI algorithms and advancing theoretical foundations, while Data Scientists primarily analyze existing data to extract insights and solve business problems. Research Scientists typically need PhDs and publish academic papers, whereas Data Scientists often work with Master's degrees and produce business reports. The research role requires deeper mathematical understanding and develops novel techniques, while Data Scientists apply established methods to specific datasets. AI Research Scientists work on longer-term theoretical projects that may take months or years, whereas Data Scientists typically deliver results on shorter timelines with immediate business applications. The research position emphasizes innovation, while data roles prioritize practical implementation."}]