ai researcher

Decompute

<div>
 <p>
  <strong>
   Company Description
  </strong>
 </p>
 <p>
 </p>
 <p>
  Decompute is a pioneer in the development of AI models optimized for local environments, requiring as little as 1 GB of VRAM. Known for our BlackBird platform, which enables the creation of on-device AI agents, we specialize in areas such as finance, legal, coding, and creative tasks like voice and image generation. Our breakthrough multimodal AI models are renowned for outperforming cloud-dependent competitors, even while operating entirely offline on consumer-grade devices. With a model footprint as small as 350M parameters, Decompute&rsquo;s solutions are efficient, scalable, and tailored for CPUs and GPUs. Join us in revolutionizing on-device AI as we empower enterprises with next-generation advancements in technology.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Description
  </strong>
 </p>
 <p>
 </p>
 <p>
  This is a full-time, on-site role located in Cupertino, CA, for an AI Researcher. The AI Researcher will lead cutting-edge research in artificial intelligence, focusing on the development and optimization of advanced models for on-device use. Daily responsibilities include conducting in-depth research, designing algorithms, implementing machine learning solutions, analyzing datasets, and collaborating with cross-functional teams to innovate and refine AI systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
 </p>
 <ul>
  <li>
   Strong foundation in ML and CS, including model architectures, programming and algorithm design
  </li>
 </ul>
 <p>
  Experience training, evaluating, and improving advanced models in production or research settings
 </p>
 <ul>
  <li>
   Experience in Research and implementation of AI-focused technologies
  </li>
  <li>
   Proficiency in Statistics for data analysis and model evaluation
  </li>
  <li>
   Strong problem-solving capabilities and aptitude for innovation
  </li>
  <li>
   Good communication skills for collaboration and presentation of research insights
  </li>
  <li>
   Experience with on-device AI or resource-efficient machine learning is a plus
  </li>
  <li>
   Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or related field preferred
  </li>
 </ul>
</div>


AI Researcher

Aledade, Inc.

<div><div>As a Staff AI Researcher, you will develop AI solutions that will improve health for millions of people. Here at Aledade we empower primary care physicians with technology to keep their patients healthy and prevent unnecessary hospitalizations. You will partner with other engineering and analytics teams, bringing AI technology into existing products and workflows.</div>
<div>As a Staff AI Researcher, you will lead the way to harness knowledge from one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions. You will have a unique opportunity to train, fine-tune and use AI models using medical data we collect from millions of patients across the country.</div>
<h3 class="jobSectionHeader"><b>Primary Duties:</b></h3><ul>
<li>Build working prototypes using off-the-shelf and novel AI techniques to deliver higher optimization levels for the company.</li>
<li>Work with large, complex data sets. Solve difficult, non-routine analysis problems to harvest data.</li>
<li>Re-design current pipelines and systems to meet the growing data and query needs.</li>
<li>Implement techniques for fine-tuning and adapting pre-trained generative models to specific healthcare domains or tasks.</li>
<li>Develop evaluation metrics and benchmarks to assess the quality and performance of AI/ML models.</li>
<li>Experience in designing and implementing feature engineering pipelines, including data processing, feature extraction, and transformation to optimize model performance.</li>
<li>Set and uphold the standard for engineering processes to support high-quality engineering, including style and code checking, test harnesses, and release packaging.</li>
<li>Deliver working POC solutions solving speed, scalability and time-to-market tradeoffs.</li>
</ul><h3 class="jobSectionHeader"><b>Minimum Qualifications:</b></h3><ul>
<li>BS/BTech (or higher) in Computer Science or a related field required.</li>
<li>3+ years of relevant deep learning and LLM work experience.</li>
<li>8+ years of relevant machine learning and statistical analysis experience.</li>
<li>3+ years or Python language experience.</li>
<li>Experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.</li>
<li>Experience working with large-scale distributed systems at scale and statistical software (e.g. Spark).</li>
<li>3+ years of demonstrated proficiency in selecting the right tools given a data optimization problem.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred KSA&rsquo;s:</b></h3><ul>
<li>Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major], Statistics, Operations Research, Economics, Mathematics, Physics) or equivalent practical experience.</li>
<li>Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.</li>
<li>Experience with security and systems that handle sensitive data.</li>
<li>Experience with Databricks/MLflow.</li>
<li>Experience with designing and implementing production-ready agentic systems.</li>
<li>Proficiency in at least one major deep learning framework (e.g. PyTorch, Tensorflow, Keras, etc), with the ability to design and implement deep learning architectures.</li>
<li>Demonstrated leadership and self-direction.</li>
<li>First-author publications at peer-reviewed conferences (e.g. NeurIPS, ICML, ACL, JSM, KDD, EMNLP).</li>
<li>Winners in ACM-ICPC, NOI/IOI, Kaggle.</li>
<li>Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc.</li>
</ul><h3 class="jobSectionHeader"><b>Physical Requirements:</b></h3><ul>
<li>Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.</li>
</ul>
<p>We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.</p></div>

Staff AI Researcher

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST)
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Apr 08, 2026
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Oct 08, 2026 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>Development of an AI-driven analytics framework for real-time monitoring. The role focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems.</p><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop computer vision and deep learning algorithms for image-based detection.</li>
<li>Implement data fusion and image analysis pipelines for scientific/engineering applications.</li>
<li>Build scalable and real-time inference workflows.</li>
<li>Collaborate with multidisciplinary teams (materials, devices, and systems).</li>
<li>Contribute to publications, reports, and student supervision.</li></ul><br>
<p></p>
<p><b>
Position Details</b></p>
<ul>
<li>Postdoctoral Researcher or Research Scientist (depending on experience)</li>
<li>Competitive salary and research environment</li>
<li>Based at KAUST with interdisciplinary collaboration</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>PhD (Postdoc) or MSc/PhD (Research Scientist) in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.</li>
<li>Strong expertise in:</li>
<ul><li>Computer vision and image processing</li>
<li>Deep learning (e.g., PyTorch, TensorFlow)</li>
<li>Data-driven modeling and analysis</li>
</ul><li>Proficiency in Python and standard ML libraries.</li>
<li>Demonstrated ability to develop practical, deployable models.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience with scientific imaging or multimodal data.</li>
<li>Background in real-time systems, embedded/edge AI, or sensor data analysis.</li>
<li>Familiarity with defect detection or monitoring systems.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div></div><p></p>

Postdoctoral Researcher / Research Scientist (Computer Vision & AI for Infrared Imaging)

Handshake

<div>
 <strong>
  About Handshake
  <br/>
  <br/>
 </strong>
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
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 <br/>
 <strong>
  Why Join Handshake Now
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
  </li>
  <li>
   Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
  </li>
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   Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
  </li>
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   Build a massive, fast-growing business with billions in revenue
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Untangling the science of Data &amp; Evaluations for Frontier AI
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 Thanks to our massive network of the world&rsquo;s top experts in all domains, the demand for human data from Handshake AI has exploded (with revenue growing from 0 to well over 9-figures in the first year and growth only accelerating since). Now the world&rsquo;s top AI Labs are looking to Handshake for advice on how to leverage human expertise to make frontier models more useful for everyone, and we are forming a leading research group to advance the science of Data and Evaluations for AI.
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 <strong>
  You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Publish papers, open source software, and do bleeding-edge open science on AI agents, LLMs and frontier multimodal models, RL environments, post-training.
  </li>
  <li>
   Work with all of the top AI Labs in the world and understand/shape what their researchers are prioritizing (uniquely, you get to work on research at a company whose customers are top AI researchers)
  </li>
  <li>
   Create public benchmarks that meaningfully measure AI progress, leveraging thousands of the world&rsquo;s top experts in different domains from the Handshake network to construct the most representative/high-quality benchmark.
  </li>
  <li>
   Shape the frontier of AI through high-impact research on topics that matter: how to measure/value data, how to effectively evaluate AI, what shapes of data are most effective as AI advances, what makes effective training/RL environments, post-training data recipes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Capabilities
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  <br/>
 </strong>
 <ul>
  <li>
   Based in San Francisco, and excited to work in the office.
  </li>
  <li>
   Ph.D. in ML/AI, data science, or related fields.
  </li>
  <li>
   Publications in top AI/ML venues like NeurIPS, ICML, ICLR.
  </li>
  <li>
   Builders who love to tinker with LLMs/Agents and ship high-quality software, benchmarks/datasets, research, blogs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks
  <br/>
  <br/>
 </strong>
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
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 <br/>
 <em>
  <strong>
   The below benefits are for full-time US employees.
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   <br/>
  </strong>
 </em>
 🎯
 <strong>
  Ownership:
 </strong>
 Equity in a fast-growing company
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 💰
 <strong>
  Financial Wellness
 </strong>
 : 401(k) match, competitive compensation, financial coaching
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 🍼
 <strong>
  Family Support:
 </strong>
 Paid parental leave, fertility benefits, parental coaching
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 💝
 <strong>
  Wellbeing:
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 Medical, dental, and vision, mental health support, $500 wellness stipend
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 <br/>
 📚
 <strong>
  Growth:
 </strong>
 $2,000 learning stipend, ongoing development
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 💻
 <strong>
  Remote &amp; Office:
 </strong>
 Internet, commuting, and free lunch/gym in our SF office
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 <br/>
 🏝
 <strong>
  Time Off:
 </strong>
 Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!
 <br/>
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 🤝
 <strong>
  Connection:
 </strong>
 Team outings &amp; referral bonuses
 <br/>
 <br/>
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 <br/>
 <br/>
 Compensation Range: $320K - $365K
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</div>


AI Research Scientist

DataAnnotation

<div>
 We are looking for a Data Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 <br/>
 <br/>
 In this role you will need to hold an expert understanding of data analysis. Other related fields include, but are not limited to: Applied skills in Statistics and/or Computer Science.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This is a full-time or part-time REMOTE position
  </li>
  <li>
   You&rsquo;ll be able to choose which projects you want to work on
  </li>
  <li>
   You can work on your own schedule
  </li>
  <li>
   Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Give AI chatbots writing and editing tasks and evaluate their outputs
  </li>
  <li>
   Evaluate the quality produced by AI models for correctness and performance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fluency in English (native or bilingual level)
  </li>
  <li>
   Detail-oriented
  </li>
  <li>
   Demonstrated proficiency in related technical, statistical, and mathematical skills
  </li>
  <li>
   A current, in progress, or completed Masters and/or PhD is preferred but not required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Notes
  <br/>
  <br/>
 </strong>
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 <br/>
 <br/>
 #math
</div>


Data Scientist

Alignment Healthcare

<div><p>Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.</p><p></p>
The AI Scientist will play a key role in designing, developing, and deploying advanced Artificial Intelligence and Machine Learning solutions to support Alignment Healthcare&rsquo;s business and operational goals. This position reports to an AI Science leader within the AI organization and works closely with cross-functional partners across engineering, product, and business teams.<br>
<br>
We are seeking highly skilled AI scientists at the Principal level who are passionate about applying state-of-the-art AI and machine learning techniques to complex, real-world healthcare problems. The ideal candidate brings strong technical expertise, sound judgment, and a proven ability to translate ambiguous business challenges into scalable, production-ready AI solutions. This role requires a results-oriented mindset, intellectual curiosity, and a collaborative approach to innovation.<br>
<br>
This is a remote position within the US.<p></p><p><b>
Job Duties/Responsibilities</b></p><ul><li>
Define technical strategy and architect enterprise AI capabilities (35%): Partner with VP of Data Science &amp; AI to establish technical roadmap and vision for organizational AI/ML capabilities. Architect enterprise-wide AI platforms, frameworks, and systems that enable scalable AI adoption. Drive strategic AI initiatives with enterprise-level impact such as autonomous clinical workflows, predictive member intervention engines, and AI-powered risk adjustment optimization.</li><li>
Lead innovation and advance the state of healthcare AI (25%): Research, prototype, and validate novel ML approaches that create competitive advantages. Drive proof-of-concept initiatives for cutting-edge AI technologies including LLM agents, causal inference for intervention effectiveness, and vision models for autonomous chart review. Create intellectual property through novel algorithms, proprietary methodologies, or technical frameworks.</li><li>
Influence organizational direction and technology decisions (20%): Advise executive leadership on AI strategy, technical feasibility, and risk. Shape organizational capability by influencing build-vs-buy decisions, technology stack choices, and platform investments. Partner with Engineering, Product, Clinical, and Operations leaders to embed AI into core business processes and drive enterprise alignment on technical initiatives.</li><li>
Establish technical excellence standards across the organization (10%): Set standards for code quality, MLOps maturity, model governance, and ethical AI. Own the most complex technical challenges where solutions are undefined and require significant innovation. Create reusable platforms, libraries, and tools that accelerate team productivity and raise the technical bar.</li><li>
Build external recognition and strategic partnerships (10%): Represent Alignment's technical capabilities to external stakeholders including CMS, payers, technology partners, and academic institutions. Publish research, present at conferences, and build Alignment's reputation as a leader in healthcare AI. Develop partnerships with research labs, universities, or technology vendors to advance organizational capabilities.</li></ul><div></div><p><b>
Job Requirements</b></p><p><b>
Experience</b></p><p><b>
Required:</b></p><ul><li>
8-12+ years in data science, machine learning, or AI research with a track record of high-impact contributions</li><li>
Demonstrated experience in architecting and delivering AI systems with enterprise-wide or industry-wide impact</li><li>
Proven ability to translate research into production systems that drive measurable business outcomes</li><li>
History of technical leadership: defining strategy, influencing architecture, shaping technical culture</li><li>
Track record of innovation through patents, publications, open-source contributions, or novel ML applications</li></ul><p><b>
Preferred:</b></p><ul><li>
Healthcare AI expertise with demonstrated impact on clinical, operational, or financial outcomes</li><li>
Medicare Advantage domain knowledge: risk adjustment, Stars, utilization management, care management</li><li>
Experience with regulatory environments: CMS, FDA, HIPAA, or AI governance</li><li>
Prior experience at leading AI-native companies or research institutions</li><li>
Track record of thought leadership: conference presentations, peer-reviewed publications, industry recognition</li></ul><div></div><p><b>
Education</b></p><p><b>
Required:</b><br>
PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or related field</p><div></div><p><b>
Training</b></p><p><b>
Required:</b><br>
Active engagement with ML research community and continuous learning in state-of-the-art AI methods; deep knowledge of healthcare regulations, AI ethics, and responsible AI practices</p><p><b>
Preferred:</b><br>
Advanced training in specialized ML domains (e.g., causal inference, reinforcement learning, LLMs); executive communication and strategic leadership training</p><div></div><p><b>
Specialized Skills</b></p><p><b>
Required:</b></p><ul><li>
Recognized expert-level proficiency in Data Science with deep theoretical and applied knowledge across multiple domains</li><li>
Mastery of Machine Learning including supervised/unsupervised learning, deep learning, NLP, reinforcement learning, and causal inference</li><li>
Deep understanding of Generative AI, predictive modeling, and classical machine learning techniques such as boosting and random forests.</li><li>
Advanced Statistical Inference, experimental design, and ability to establish methodological standards</li><li>
Expert programming: Python, Java, SQL, or PySpark with proven ability to architect production-grade, scalable ML systems.</li><li>
Advanced SQL and experience designing data architectures for complex healthcare applications</li><li>
Deep expertise with Databricks, MLOps platforms (MLflow, Unity Catalog), and cloud-native AI systems</li><li>
Cutting-edge AI capabilities: Large language models, multimodal AI, AI agents, retrieval-augmented generation (RAG)</li><li>
Strategic understanding of healthcare business models, Medicare Advantage operations, and regulatory landscape (CMS, HIPAA)</li><li>
Exceptional communication and influence: ability to articulate AI roadmap and technical strategy to executive audiences and shape organizational direction</li><li>
Proven ability to translate technical capabilities into business value and assess technical risk, feasibility, and ROI</li></ul><p><b>
Preferred:</b></p><ul><li>
Experience building ML platforms or infrastructure used across data science organizations</li><li>
Deep expertise in healthcare AI specialization: clinical NLP, medical imaging, risk prediction, or intervention optimization</li><li>
Multi-agent AI systems and autonomous decision frameworks</li><li>
Contributions to major open-source ML projects or industry-recognized thought leadership</li></ul><div></div><p><b>
Licensure</b></p><p><b>
Required:</b> None<br>
<b>Preferred:</b> Industry recognition through certifications, awards, or fellowships in AI/ML</p><div></div><p><b>
Essential Physical Functions</b></p><p>
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><p>
While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.</p><p></p>
Pay Range: $198,219.00 - $297,329.00<p>
Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.
</p><p></p><p>Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.</p><p></p><ul><li><i>DISCLAIMER: Please</i><i> beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal </i><i>information. Please</i><i> be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at </i><i>https://reportfraud.ftc.gov/#/</i><i>. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health&rsquo;s talent acquisition team, please email </i><i>careers@ahcusa.com</i><i>.</i></li></ul></div>

Principle AI & Data Scientist

GenBio AI

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 <br/>
 <br/>
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 <br/>
 <br/>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology
  </li>
  <li>
   You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems
  </li>
  <li>
   Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI&rsquo;s state-of-the-art biology foundation models and drive the research agenda to generate impact
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   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualification:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States)
  </li>
  <li>
   A strong coder with excellent skills in C/C++ and Python
  </li>
  <li>
   Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc
  </li>
  <li>
   Have a solid understanding of GPU, CPU, or other AI accelerator architectures
  </li>
  <li>
   Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters)
  </li>
  <li>
   Have experience improving ML accuracy using low-precision formats
  </li>
  <li>
   Have 1+ years of relevant industry experience
  </li>
  <li>
   Derive a great deal of satisfaction from every percentage point of performance improvement
  </li>
  <li>
   Have experience writing and optimizing compute kernels using CUDA or similar languages
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems
  </li>
  <li>
   Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis
  </li>
  <li>
   Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI&rsquo;s model development and deployment frameworks
  </li>
  <li>
   Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN)
  </li>
  <li>
   Knowledge of performance profiling and optimization tools for HPC and deep learning
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
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 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Research Engineer Intern

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