Remote Artificial Intelligence Scientist Jobs
Remote Artificial Intelligence Scientist jobs are open across technology, healthcare, finance, and defense at remote-first companies and distributed research teams, from early-career roles to principal and staff-level positions. Employers hiring remotely right now include Bose, Zillow, and Pinterest. See the openings below and apply to the ones that match your experience.
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FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!
The Opportunity
As a Principal Applied AI Engineer on FICO’s Generative AI team, you will work at the frontier of language model applications, designing novel solutions that reach across the FICO platform, from fraud investigation and decision automation to process flow automation and optimization. You will be the architect of robust, scalable, and well-governed AI systems, ensuring they perform reliably at enterprise scale. Working alongside a dedicated team, you will apply your expertise in AI and machine learning to infuse the platform with next-generation capabilities and drive innovation that makes a meaningful, lasting impact.
What You’ll Contribute
- Design and implement cutting-edge LLM-powered solutions for decision automation, fraud investigation, and process automation within FICO’s platform.
- Develop sophisticated prompting strategies and Retrieval-Augmented Generation (RAG) architectures tailored to high-stakes applications.
- Apply advanced fine-tuning, in-context learning techniques, and custom evaluation frameworks to optimize AI model performance.
- Build robust model evaluation and governance systems, ensuring compliance and reliability across applications.
- Design and execute comprehensive backtesting methodologies to validate model predictions and performance.
- Implement A/B testing frameworks to evaluate the impact of various AI interventions on system performance.
- Monitor model performance and detect drift to maintain high accuracy and relevance over time.
- Research and integrate the latest AI techniques to keep FICO’s platform at the forefront of innovation.
- Evaluate new models, architectures, and training approaches, experimenting with emerging technologies to enhance platform capabilities.
- Develop custom RAG implementations to enhance information retrieval within decision processes.
- Write production-quality code, implementing machine learning systems with attention to scalability, reliability, and security.
- Design scalable architectures that support FICO’s analytics and decisioning solutions.
- Implement advanced monitoring techniques and system reliability checks to maintain operational excellence.
What We’re Seeking
- Extensive industry experience in software, ML or data engineering, with a history of managing complex, large-scale projects and driving strategic technical decisions.
- In-depth knowledge and experience in fine-tuning, model adaptation, and customization.
- Solid foundation in machine learning evaluation and testing methodologies, including the development of custom evaluation frameworks.
- Extensive experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases
- Strong hands-on coding in Python, Go, Java, or similar languages.
- Experience with PyTorch, JAX or similar deep learning frameworks.
- Knowledge of backtesting methodologies to ensure reliability and robustness of model predictions.
- Experience with A/B testing frameworks.
- Expertise in model monitoring, drift detection, and governance to maintain compliance and operational integrity.
- Proven expertise in modern Large Language Models (LLMs) and their applications preferred.
- Strong skills in prompt engineering and chain-of-thought prompting techniques.
- Familiarity with compliance and regulatory technology, particularly in AI-driven decisioning environments.
- Strong software engineering fundamentals, with experience in writing production-quality code and designing scalable architectures.
- Proven ability to mentor teams and collaborate across departments to deliver high-impact solutions.
- Experience in fast-paced environments, with an ability to adapt and drive impact in high-growth, high-stakes settings.
- Publications, patents, or open-source contributions that showcase thought leadership and technical expertise in AI and machine learning.
- Bachelor's/Master's/PhD degree in computer science, or a related field with focus in Machine Learning.
Our Offer to You
- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
- The targeted base pay range for this role is: $171,500 to $269,500 with this range reflecting differences in candidate knowledge, skills and experience.
#LI-RR1
#LI-remote
Why Make a Move to FICO?
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
FICO makes a real difference in the way businesses operate worldwide:
- Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.
- Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.
- Lending — 3/4 of US mortgages are approved using the FICO Score.
Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!
Learn more about how you can fulfil your potential at www.fico.com/Careers
FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.
Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy
FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!
The Opportunity
As a Principal Applied AI Engineer on FICO’s Generative AI team, you will work at the frontier of language model applications, designing novel solutions that reach across the FICO platform, from fraud investigation and decision automation to process flow automation and optimization. You will be the architect of robust, scalable, and well-governed AI systems, ensuring they perform reliably at enterprise scale. Working alongside a dedicated team, you will apply your expertise in AI and machine learning to infuse the platform with next-generation capabilities and drive innovation that makes a meaningful, lasting impact.
What You’ll Contribute
- Design and implement cutting-edge LLM-powered solutions for decision automation, fraud investigation, and process automation within FICO’s platform.
- Develop sophisticated prompting strategies and Retrieval-Augmented Generation (RAG) architectures tailored to high-stakes applications.
- Apply advanced fine-tuning, in-context learning techniques, and custom evaluation frameworks to optimize AI model performance.
- Build robust model evaluation and governance systems, ensuring compliance and reliability across applications.
- Design and execute comprehensive backtesting methodologies to validate model predictions and performance.
- Implement A/B testing frameworks to evaluate the impact of various AI interventions on system performance.
- Monitor model performance and detect drift to maintain high accuracy and relevance over time.
- Research and integrate the latest AI techniques to keep FICO’s platform at the forefront of innovation.
- Evaluate new models, architectures, and training approaches, experimenting with emerging technologies to enhance platform capabilities.
- Develop custom RAG implementations to enhance information retrieval within decision processes.
- Write production-quality code, implementing machine learning systems with attention to scalability, reliability, and security.
- Design scalable architectures that support FICO’s analytics and decisioning solutions.
- Implement advanced monitoring techniques and system reliability checks to maintain operational excellence.
What We’re Seeking
- Extensive industry experience in software, ML or data engineering, with a history of managing complex, large-scale projects and driving strategic technical decisions.
- In-depth knowledge and experience in fine-tuning, model adaptation, and customization.
- Solid foundation in machine learning evaluation and testing methodologies, including the development of custom evaluation frameworks.
- Extensive experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases
- Strong hands-on coding in Python, Go, Java, or similar languages.
- Experience with PyTorch, JAX or similar deep learning frameworks.
- Knowledge of backtesting methodologies to ensure reliability and robustness of model predictions.
- Experience with A/B testing frameworks.
- Expertise in model monitoring, drift detection, and governance to maintain compliance and operational integrity.
- Proven expertise in modern Large Language Models (LLMs) and their applications preferred.
- Strong skills in prompt engineering and chain-of-thought prompting techniques.
- Familiarity with compliance and regulatory technology, particularly in AI-driven decisioning environments.
- Strong software engineering fundamentals, with experience in writing production-quality code and designing scalable architectures.
- Proven ability to mentor teams and collaborate across departments to deliver high-impact solutions.
- Experience in fast-paced environments, with an ability to adapt and drive impact in high-growth, high-stakes settings.
- Publications, patents, or open-source contributions that showcase thought leadership and technical expertise in AI and machine learning.
- Bachelor's/Master's/PhD degree in computer science, or a related field with focus in Machine Learning.
Our Offer to You
- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
- The targeted base pay range for this role is: $171,500 to $269,500 with this range reflecting differences in candidate knowledge, skills and experience.
#LI-RR1
#LI-remote
Why Make a Move to FICO?
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
FICO makes a real difference in the way businesses operate worldwide:
- Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.
- Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.
- Lending — 3/4 of US mortgages are approved using the FICO Score.
Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!
Learn more about how you can fulfil your potential at www.fico.com/Careers
FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.
Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy
See All 45 Remote Artificial Intelligence Scientist Jobs
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Find JobsRemote Artificial Intelligence Scientist Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Education
- Insurance
- Automotive
- Electronics & Hardware
What Employers Look For
The qualifications that appear most often in remote artificial intelligence scientist jobs.
- PhD in computer science, machine learning, statistics, or a closely related field
- Deep expertise in PyTorch or TensorFlow for designing and training large-scale models
- Experience publishing research at peer-reviewed venues such as NeurIPS, ICML, or CVPR
- Strong Python programming skills with proficiency in scientific computing libraries
- Hands-on experience with large language models, diffusion models, or reinforcement learning
- Ability to translate research findings into production-ready systems or product features
Tips for Your Remote Artificial Intelligence Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote artificial intelligence scientist openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through mixed results.
Show async communication skills upfront
Remote AI teams run on written communication. Include a concise technical write-up, a well-documented notebook, or a project README in your materials so hiring managers can evaluate your clarity before the first call.
Build a public portfolio of model work
Remote employers can't observe your process in person, so documented experiments, reproducible code, and clear results on platforms like GitHub or arXiv do the work your presence can't. Prioritize depth over quantity.
Prepare for asynchronous technical screens
Many remote AI scientist interviews include take-home model evaluations or written design challenges instead of live coding. Practice explaining architectural decisions and experimental tradeoffs clearly in writing, not just verbally.
Remote Artificial Intelligence Scientist Jobs: Frequently Asked Questions
How do I get a remote artificial intelligence scientist job?
Target companies with established remote engineering cultures, such as remote-first technology firms, AI-native startups, and large enterprises with distributed research teams. Remote employers screen heavily for self-direction, clear async written communication, and hands-on depth in machine learning frameworks, model training, and experimental design. A portfolio of documented projects, published research, or open-source contributions that others can review without a live conversation gives you a concrete edge.
Which companies hire remote artificial intelligence scientists?
Remote artificial intelligence scientist roles are posted by Bose, Zillow, and Pinterest and others right now, based on current remote listings on Migrate Mate as of November 2026. Hiring tends to concentrate at remote-first technology companies, AI-focused startups, and large enterprises in healthcare, finance, and defense that run distributed research and product teams.
Can you get a remote artificial intelligence scientist job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one without in-person mentorship. Smaller AI-native startups and research-oriented firms are more open to candidates early in their careers. A strong GitHub presence, documented personal or academic ML projects, and demonstrated ability to communicate findings in writing can substitute for formal work history.
Do you need a degree for remote artificial intelligence scientist jobs?
Usually, but a graduate degree is not always required. Many remote employers weight demonstrable skills, published work, and results from real projects alongside formal credentials. Candidates who can show rigorous experimentation, model deployment experience, and clear technical documentation often compete effectively even without a Ph.D., particularly at product-focused companies rather than pure research labs.
Which industries hire the most remote artificial intelligence scientists?
The sectors hiring the most remote artificial intelligence scientists are Technology & Software, Education, and Insurance, based on current remote listings on Migrate Mate as of November 2026. These industries rely heavily on distributed teams to source specialized AI talent that isn't concentrated in any single geography.
See All 45 Remote Artificial Intelligence Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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