Applied AI Researcher Jobs
Applied AI Researcher jobs are open across technology, healthcare, finance, and government, from new-grad to principal and staff levels, with specializations in large language models, multimodal systems, and reinforcement learning. See the openings below and apply to the ones that match your experience.
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Building something ambitious requires focus, resilience, and a willingness to take on challenging work. At Miris, we believe that this work can be deeply meaningful when it is supported by a strong team, a clear sense of purpose, and a shared commitment to achieving important outcomes. We are looking for people who are energized by complex problems and the opportunity to make a meaningful impact.
The Opportunity:
Miris is seeking exceptional, outcome-focused Applied Researchers (Senior+) to join our fully remote R&D team. You will navigate the fast-moving Gaussian splatting and radiance field research, pushing the bleeding edge to deliver exceptional immersive streaming experiences to low-powered mobile devices. This applied, highly collaborative role involves taking ideas from theory to production rollout, partnering with rendering and cloud teams to build a seamless end-to-end system that transforms varied user inputs into exceptional spatial experiences.
What You'll Do:
- Conduct applied research into novel methods for representing, compressing, and streaming static and animated 3D content, with a strong focus on varied radiance field primitives and efficiency for low-power mobile AR/VR devices
- Quickly develop proof-of-concepts and transition successful experiments to production-ready code to advance our streaming pipeline
- Design and evaluate algorithms for scene reconstruction, 3D compression, and adaptive streaming based on network conditions and device capabilities
- Drive solutions to multi-disciplinary problems like streaming animated content, real-time relighting, and integrating trained content into a live AR environment
- Own end-to-end customer outcomes by understanding customer needs and translating them into innovative technology solutions that drive customer success.
- Proactively follow and apply the latest computer graphics research related to novel view synthesis on mobile devices, such as radiance fields, differentiable rendering, and photogrammetry
What You'll Bring:
- 5+ years of industry experience with a MS or PhD in Computer Science, Electrical Engineering, or a related quantitative field, or equivalent practical experience.
- Proven expertise in novel view synthesis and 3D graphics research (e.g., radiance fields, Gaussian splatting, NeRF), evidenced by a strong understanding of modern rendering pipelines and a track record of delivering advancements to the state of the art as seen in publications in top-tier conferences or delivery of significant industry products.
- Excellent programming skills in Python with aptitude working in large systems and ability to leverage AI to accelerate problem solving in your daily work
- Demonstrated ability to be outcome-focused and move quickly in a fast-paced environment
Target Base Salary Range
$102,693 - $287,488 USD
About Us:
Miris is a cutting-edge technology company building the future of 3D content delivery at global scale. Our mission is to empower creators and developers to deliver high-fidelity, photorealistic 3D experiences to billions of users instantly, seamlessly, and across all major platforms and devices. Backed by patented innovations, Miris leverages state-of-the-art advancements in neural rendering, including radiance fields, Gaussian splatting, and new AI-assisted graphics approaches. Our platform unlocks the ability to deliver complex digital scenes, anywhere and anytime, without making compromises on speed, cost, and scale.
Compensation:
At Miris, our compensation philosophy is designed to attract, motivate, and retain top talent. We offer fair pay that reflects the value of each role within our organization and the broader market. We believe that every employee who brings impact should share in our success with equity options as a key component of our compensation package. Base salary is influenced by several factors, including the scope, complexity, and responsibilities of the role, internal equity across similar roles, external market benchmarks for comparable positions, and the candidate’s job-related knowledge, skills, and experience.
Benefits:
- Comprehensive benefits including Medical, Dental, and Vision
- Flexible Spending Account for medical and dependent expenses
- Flexible working hours
- Generous PTO Program
- 401K plan
- Technology stipend
- Wellness stipend
- Equity options
Globally, benefits may vary depending on a candidate's location
Applied AI Researcher Jobs by Experience Level
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Find Applied AI Researcher JobsApplied AI Researcher Job Market
Who's Hiring
- Capital One12

- Apple7

- Articul86

- Distyl5

- JPMorganChase3

Top Industries Hiring
- Technology & Software
- Science & Research
- Fintech
- Electronics & Hardware
- Artificial Intelligence
What Employers Look For
The qualifications that appear most often in applied AI researcher jobs.
- PhD or Master's degree in machine learning, computer science, or a related field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing, training, and evaluating large-scale machine learning models
- Demonstrated record of publishing or contributing to peer-reviewed AI research
- Familiarity with distributed training infrastructure and cloud computing platforms
- Strong communication skills for presenting research findings to technical and non-technical audiences
Tips for Your Applied AI Researcher Job Search
Tailor your resume to deployment depth
Applied AI researcher roles split between research-first and deployment-first teams. Make clear whether your work shipped to production or stayed in the lab, because hiring teams screen for exactly that distinction before moving candidates forward.
Lead with reproducible results on your portfolio
Link to public code repositories, model cards, or technical reports that hiring managers can verify. Describing a project is weaker than showing a working implementation, an arXiv preprint, or a benchmark result tied to your name.
Apply early to roles that fit
Migrate Mate lists applied ai researcher openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Match your specialization to the job description
Job postings for applied ai researchers often name a specific modality, such as vision, speech, or text. Customizing your application summary to mirror the exact technical domain in each listing meaningfully increases your callback rate.
Prepare a system design answer for research roles
Many applied ai researcher interviews include an open-ended system design round where you walk through building a model pipeline end to end. Practice explaining data preprocessing choices, training infrastructure tradeoffs, and evaluation methodology out loud before the interview.
Negotiate compute and research budget separately from base pay
Applied ai researcher offers often include cloud compute credits, conference travel, and publication support that vary widely by team. Ask about these resources during the offer conversation, because they directly affect what research you can realistically do in the role.
Applied AI Researcher Jobs: Frequently Asked Questions
Which companies are hiring the most applied ai researchers?
The companies hiring the most applied ai researchers right now include Capital One, Apple, and Articul8, with the largest share of openings in California, New York, and Washington, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated at technology companies, national laboratories, and large financial institutions building proprietary AI capabilities.
How many applied ai researcher jobs are remote?
About 71% of applied ai researcher openings are fully remote or hybrid as of November 2026, reflecting the field's reliance on distributed teams and cloud-based compute. Sub-specializations in natural language processing and recommendation systems tend to offer the highest share of remote arrangements, while roles requiring on-site GPU clusters or hardware-in-the-loop testing are more often in-person.
How do you become an applied ai researcher?
Most applied ai researchers begin with a graduate degree in machine learning, statistics, or computer science, then build a portfolio of original research through thesis work, internships, or open-source projects. Publishing papers, contributing to recognized benchmarks, and completing internships at research-active organizations are the clearest signals employers look for before making a full-time offer.
Can you get hired as an applied ai researcher with little or no experience?
Entry-level applied ai researcher roles do exist, though they typically require a strong academic project portfolio in lieu of industry experience. Candidates who have reproduced a published paper from scratch, contributed to an open-source model, or completed a research internship are competitive even without full-time history. Applying to research engineer or associate researcher titles can also serve as a bridge into senior applied ai researcher positions.
What does the applied ai researcher interview process look like?
Applied ai researcher interviews typically begin with a recruiter screen, followed by a technical phone interview covering machine learning fundamentals and coding. Later rounds usually include a research presentation where you walk through past work in depth, a system design session focused on building an AI pipeline, and a final round with cross-functional stakeholders who assess research judgment and communication clarity.
Where can I find and apply to applied ai researcher jobs?
You can find and apply to applied ai researcher jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your specialization and experience level, then apply directly to each one that fits.
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