Remote Applied Scientist Jobs
Remote Applied Scientist jobs are open across the U.S. in technology, healthcare, and financial services, at companies ranging from remote-first AI startups to large distributed engineering teams. Employers hiring remotely right now include Lumen, Upstart, and Optum. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 24+ Remote Applied Scientist jobs
Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.
At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter.
This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today.
The Role
Lumen is seeking a highly technical and execution-oriented Applied AI Scientist to design, develop, deploy, and optimize AI-powered solutions that solve meaningful business challenges. In this role, you will partner with business, product, engineering, and technology teams to identify opportunities, rapidly prototype solutions, and deliver production-ready AI capabilities.
You will combine expertise in machine learning, generative AI, software development, and experimentation to create scalable AI systems that improve customer experiences, operational efficiency, and business outcomes. The ideal candidate is a hands-on builder who enjoys solving complex problems and translating emerging AI technologies into measurable business value.
The Main Responsibilities
- Design, develop, and deploy AI and machine learning solutions from proof of concept through production.
- Partner with business and product stakeholders to identify use cases, define objectives, and measure impact.
- Build solutions leveraging machine learning, generative AI, retrieval-augmented generation (RAG), NLP, predictive analytics, and agentic workflows.
- Develop and maintain evaluation frameworks to ensure solution quality, accuracy, reliability, and performance.
- Collaborate closely with Engineering teams to operationalize AI solutions using MLOps and LLMOps best practices.
- Contribute reusable code, tools, models, and frameworks that accelerate AI adoption across the enterprise.
- Stay current on emerging AI technologies and recommend innovative approaches to business challenges.
- Contribute to technical best practices and knowledge sharing across the team.
Required Qualifications
- 3+ years of experience in applied AI, machine learning, data science, or a related field.
- Experience developing and deploying production AI or machine learning solutions.
- Strong expertise in machine learning, statistics, predictive modeling, experimentation, and analytics.
- Experience building solutions utilizing LLMs, RAG architectures, vector databases, and modern AI frameworks.
- Proficiency in Python and common AI/ML toolsets such as PyTorch, TensorFlow, Hugging Face, LangChain, MLflow, or similar technologies.
- Experience working with cloud platforms and production software environments.
- Strong problem-solving skills and the ability to communicate technical concepts to diverse stakeholders.
- Experience working in cross-functional agile teams.
Preferred Qualifications
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative discipline.
- Experience implementing Responsible AI and AI governance practices.
- Experience supporting enterprise-scale AI initiatives.
- Contributions to publications, patents, open-source projects, or professional AI communities.
Compensation
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$105,786 - $176,310 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$111,074 - $185,124 in these states: CO HI MI MN NC NH NV OR RI
$116,364 - $193,940 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
Requisition #: 343393
Life at Lumen
Life at Lumen is human and connected, even in a fast moving, AI‑focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes.
Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.
To learn more about Life at Lumen and how we live the Lumen 8, please visit:
https://jobs.lumen.com/global/en/life-at-lumen
Background Screening
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Equal Employment Opportunities
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
Privacy Notice
Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.
To review Lumen’s Global Employment Applicant and Talent Community Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice
Disclaimer
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.
At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter.
This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today.
The Role
Lumen is seeking a highly technical and execution-oriented Applied AI Scientist to design, develop, deploy, and optimize AI-powered solutions that solve meaningful business challenges. In this role, you will partner with business, product, engineering, and technology teams to identify opportunities, rapidly prototype solutions, and deliver production-ready AI capabilities.
You will combine expertise in machine learning, generative AI, software development, and experimentation to create scalable AI systems that improve customer experiences, operational efficiency, and business outcomes. The ideal candidate is a hands-on builder who enjoys solving complex problems and translating emerging AI technologies into measurable business value.
The Main Responsibilities
- Design, develop, and deploy AI and machine learning solutions from proof of concept through production.
- Partner with business and product stakeholders to identify use cases, define objectives, and measure impact.
- Build solutions leveraging machine learning, generative AI, retrieval-augmented generation (RAG), NLP, predictive analytics, and agentic workflows.
- Develop and maintain evaluation frameworks to ensure solution quality, accuracy, reliability, and performance.
- Collaborate closely with Engineering teams to operationalize AI solutions using MLOps and LLMOps best practices.
- Contribute reusable code, tools, models, and frameworks that accelerate AI adoption across the enterprise.
- Stay current on emerging AI technologies and recommend innovative approaches to business challenges.
- Contribute to technical best practices and knowledge sharing across the team.
Required Qualifications
- 3+ years of experience in applied AI, machine learning, data science, or a related field.
- Experience developing and deploying production AI or machine learning solutions.
- Strong expertise in machine learning, statistics, predictive modeling, experimentation, and analytics.
- Experience building solutions utilizing LLMs, RAG architectures, vector databases, and modern AI frameworks.
- Proficiency in Python and common AI/ML toolsets such as PyTorch, TensorFlow, Hugging Face, LangChain, MLflow, or similar technologies.
- Experience working with cloud platforms and production software environments.
- Strong problem-solving skills and the ability to communicate technical concepts to diverse stakeholders.
- Experience working in cross-functional agile teams.
Preferred Qualifications
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative discipline.
- Experience implementing Responsible AI and AI governance practices.
- Experience supporting enterprise-scale AI initiatives.
- Contributions to publications, patents, open-source projects, or professional AI communities.
Compensation
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$105,786 - $176,310 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY
$111,074 - $185,124 in these states: CO HI MI MN NC NH NV OR RI
$116,364 - $193,940 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
Requisition #: 343393
Life at Lumen
Life at Lumen is human and connected, even in a fast moving, AI‑focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes.
Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.
To learn more about Life at Lumen and how we live the Lumen 8, please visit:
https://jobs.lumen.com/global/en/life-at-lumen
Background Screening
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Equal Employment Opportunities
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
Privacy Notice
Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.
To review Lumen’s Global Employment Applicant and Talent Community Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice
Disclaimer
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
See All 24 Remote Applied Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Applied Scientist JobsRemote Applied Scientist Job Market
Who's Hiring
Top Industries Hiring
- Insurance
- Technology & Software
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in remote applied scientist jobs.
- Master's or PhD in computer science, statistics, machine learning, or a related quantitative field
- Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
- Hands-on experience designing and deploying machine learning models in production environments
- Strong foundation in statistical modeling, experimentation design, and A/B testing methodology
- Experience working with large-scale distributed data systems using tools like Spark or SQL
- Ability to communicate model design decisions and trade-offs clearly to non-technical stakeholders
Tips for Your Remote Applied Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote applied 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 unrelated listings.
Build a public portfolio of model work
Remote hiring managers can't watch you work, so documented outputs matter more than credentials. Publish reproducible notebooks, write up experiment results, or contribute to open-source ML libraries to give reviewers concrete evidence of your applied work.
Show async communication skills explicitly
Remote applied scientist teams run on written communication. Include examples of technical design docs, research write-ups, or async project updates you've authored, because remote employers screen for the ability to move projects forward without synchronous check-ins.
Target remote-first companies over remote-optional ones
Remote-first firms have built their entire research and engineering workflow around distributed work, so applied scientists there have full access to data, compute, and team context without fighting office-centric processes. Look for companies where remote is the stated default, not a policy exception.
Remote Applied Scientist Jobs: Frequently Asked Questions
How do I get a remote applied scientist job?
Target companies with established remote engineering cultures, such as remote-first SaaS firms and distributed research teams, where async collaboration is already the norm. Remote employers screen heavily for self-direction, clear written communication, and the ability to scope and execute projects without daily oversight. Demonstrating published work, open-source contributions, or documented model results gives you a concrete edge over candidates with equivalent credentials but no visible output.
Which companies hire remote applied scientists?
Employers currently hiring remote applied scientists include Lumen, Upstart, and Optum, per current remote listings on Migrate Mate as of September 2026. Remote applied scientist roles tend to concentrate at remote-first technology companies, distributed cloud and AI platforms, and large enterprises running global research teams across software, healthcare, and financial services.
Can you get a remote applied scientist job with no experience?
Yes, but remote entry-level applied scientist roles are harder to land because you must demonstrate independence from day one without an in-office team to lean on. Remote-first startups and research-oriented technology companies are the most likely to hire junior applied scientists. A portfolio of documented personal or academic projects, strong Python or ML framework skills, and clear written communication can substitute meaningfully for formal work history.
Do you need a degree for remote applied scientist jobs?
Usually, but not always. Most remote applied scientist postings list a graduate degree in computer science, statistics, or a related field as a preference, not a hard requirement. Remote employers weigh demonstrated technical output, such as published research, open-source model work, or Kaggle results, alongside formal credentials, and a strong practical portfolio can open doors that a degree alone does not.
Which industries hire the most remote applied scientists?
Most remote applied scientist openings sit in Insurance, Technology & Software, and Banking & Financial Services, per current remote listings on Migrate Mate as of September 2026. Those sectors hire applied scientists remotely because their core research and modeling work is fully portable, making distributed teams a practical default rather than an exception.
See All 24 Remote Applied Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Applied Scientist Jobs