Remote Scientist Engineer Jobs
Remote Scientist Engineer jobs are open across the U.S. in sectors like biotechnology, pharmaceuticals, environmental science, and advanced materials, where distributed research and development teams have become the norm. Companies including HARVEY, WSP, and FICO are actively hiring scientist engineers remotely, from early-career research roles to senior-level engineering positions on fully distributed teams. Find a role that fits below and apply directly.
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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
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Find JobsRemote Scientist Engineer Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote scientist engineer jobs.
- Bachelor's or master's degree in engineering, chemistry, biology, or a related science
- Experience designing and executing experimental protocols in a laboratory or field setting
- Proficiency with data analysis tools such as Python, MATLAB, or statistical software
- Familiarity with engineering design documentation, CAD tools, or technical reporting standards
- Experience working across research and development or product development teams
- Relevant certifications or clearances such as EIT, PE licensure, or active security clearance
Tips for Your Remote Scientist Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote scientist engineer openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through listings that aren't actually remote.
Show async communication skills upfront
Remote scientist engineer teams rely on written updates, documented protocols, and clear async handoffs. Highlight experience writing technical summaries, maintaining shared data logs, or contributing to distributed research workflows in your application materials.
Build a digital portfolio of your research work
Remote employers can't see you in a lab, so make your methods and results visible. Publish documented project writeups, data analyses, or modeling outputs in a shareable format that hiring teams can review before an interview.
Target remote-first science and tech companies
Focus on organizations that built distributed research teams by design, not those offering remote as a temporary accommodation. These companies have the tooling, workflows, and management experience to onboard and support scientist engineers working from anywhere.
Remote Scientist Engineer Jobs: Frequently Asked Questions
How do I get a remote scientist engineer job?
Target companies with established distributed R&D teams, such as biotech firms, environmental consultancies, and advanced materials companies that have built remote-first workflows around digital lab tools, cloud-based data platforms, and async collaboration. Remote employers screen heavily for self-direction, clear written communication, and proficiency with tools like electronic lab notebooks and collaborative data environments. Candidates who demonstrate independent project ownership and document their methods and results clearly stand out.
Which companies hire remote scientist engineers?
Remote scientist engineer roles are posted by HARVEY, WSP, and FICO and others right now, based on current remote listings on Migrate Mate as of November 2026. The companies hiring most actively tend to be remote-first biotech and environmental science firms, pharmaceutical research organizations, and technology-driven materials companies that run distributed research teams.
Can you get a remote scientist engineer job with no experience?
Yes, but remote entry-level scientist engineer roles are harder to land because employers expect you to work independently from day one with minimal in-person oversight. Your best path is through companies that hire junior scientists onto structured distributed teams, usually in biotech or environmental science. Showcasing independent research projects, open data contributions, or coursework with documented outcomes can substitute for formal work history.
Do you need a degree for remote scientist engineer jobs?
Usually, but the weight placed on formal credentials varies by sector and role type. Many remote employers in biotech and advanced materials require at least a bachelor's degree in a relevant scientific discipline, while others prioritize demonstrated technical skills, published or documented project work, and proficiency with the specific data and modeling tools the team uses. Applied results often carry as much weight as the degree itself.
See All 10 Remote Scientist Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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