74 Emplois pour Research Analysis - France

Join to apply for the Research Scientist, FAIR - DevAI role at Meta

6 days ago Be among the first 25 applicants

Join to apply for the Research Scientist, FAIR - DevAI role at Meta

Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Developmental AI (DevAI). Current machine learning algorithms can match human performance in a variety of tasks but require orders of magnitude more data. DevAI aims at building AI agents that learn autonomously from few amounts of real world data and interactions as children do. This covers the design of algorithms that leverage advanced machine learning techniques to improve robustness and sample efficiency, the building of datasets or simulators of ecological data, and benchmarks to compare how fast children and machines learn given similar input. The focus is on grounded language and communication. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community fostering the advancement of AI at its intersection with the study of natural intelligence. We seek researchers with a mixed expertise in machine learning (speech, language, vision, core ML) and cognitive science (developmental or language science) to join our research team to foster cutting-edge research in Developmental AI.

Research Scientist, FAIR - DevAI Responsibilities:

• Publish state-of-the-art research papers in both high impact machine learning and cognitive science outlets.
• Conduct independent research that investigates how AI can improve the science of learning in biological organisms and vice versa.
• Open source high quality code and reproducible results for the community.
  
  

• Ph.D. and established track record of leading and/or contributing to influential research, e.g. as evidenced by high-impact publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP)
• Documented interest in cross-disciplinary research in topics relevant to developmental AI.
• Experience communicating research for public audiences of peers, as well as non-technical audiences
  
  

• 2+ years of work experience in a faculty, industry, or government research position with primary emphasis on AI research
• Publications in top cognitive (neuro)science journals or conferences (Cognition, Cognitive Science, etc) a plus.
• Experience driving original scholarship in collaboration with a team
• Experience in developing and debugging in C/C++, Python, PyTorch
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Other
• Industries Technology, Information and Internet

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Boulogne-Billancourt, Île-de-France, France 3 weeks ago

Boulogne-Billancourt, Île-de-France, France 3 weeks ago

Boulogne-Billancourt, Île-de-France, France 2 weeks ago

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If you’ve worn a pair of glasses, we’ve already met.

We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products (such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions), iconic brands that consumers love (such as Ray-Ban, Oakley, Persol, Oliver Peoples, Vogue Eyewear and Costa), as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences (such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network), and leading e-commerce platforms.

Join our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry.

Discover more by following us on!

Your #FutureInSight with EssilorLuxottica

Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world? Join us in redefining the boundaries of what’s possible.

Your role :

Within the Instruments Division of EssilorLuxottica in Greater Paris, the Computational Instrumentation Research Engineer will join the Scientific Department, under the responsibility of the Head of Instrumentation Studies. They will join a team responsible for delivering innovations in optical instrumentation for eye care professionals.

The role includes optical simulations and developments, statistical modeling, and scientific programming (including machine learning and high performance computing) for novel instrumentation projects at the forefront of clinical research, with an awareness of all relevant instrumentation aspects (including image and data processing algorithms), and future growth opportunities in clinical innovation.

The candidate will be actively involved in verifying critical functions and reporting results in accordance with scientific and technical good practice with clinical trials in mind.

Main responsibilities :

Design and implementation of optical signal processing algorithms (including machine learning and high performance computing) for ophthalmic instrument design.

Optical simulations and development.

Scientific and technical reporting for clinical trial documentation.

Reporting and scientific communication.

Contributions to the Intellectual Property portfolio.

Monitor / anticipate the trends in our field.

Scouting for new technologies for future products opportunities.

Main requirements : Mandatory

Very strong scientific programming and algorithmic skills for computer vision applications, including uncertainty modeling of physical systems and machine learning.

Good understanding of physical sensors (especially imaging sensors), quantitatively modeling their behavior, and using them for computational imaging applications.

Very good proficiency with modern programming languages (Python, C++, Rust.) using best practices for software development.

Solid background in fundamental mathematics, physics, and physical optics.

Important

Strong GPU programming skills for high performance scientific computing and low-level image processing.

Willingness to learn computer-aided optical design.

Strong experience in research instrumentation in the private (R&D) or public sector.

Optional

Experience with laser sources and other optoelectronic instrumentation.

At least 2 years of experience in international settings (education and / or work).

Strong appetite for novel optical technology at the forefront of research.

Curious and eager to learn & grow.

Interested in making a difference in healthcare.

Educational Background :

Major in Physics, Mathematics, Engineering or equivalent.

Specialization in image processing / computer vision.

At least 8 years of research (or similar R&D work experience) in Computational Instrumentation and Scientific Programming for optical imaging applications.

Our Diversity, Equity and Inclusion commitment

We are committed to creating an inclusive environment for all employees. We celebrate diversity and provide equal opportunities to all, regardless of race, gender, ethnicity, religion, disability, sexual orientation, or any other characteristic that makes us unique.

Select how often (in days) to receive an alert: Create Alert

Location:

Créteil, FR

If you’ve worn a pair of glasses, we’ve already met.

We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products (such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions ), iconic brands that consumers love (such as Ray-Ban, Oakley, Persol, Oliver Peoples, Vogue Eyewear and Costa ), as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences (such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network ), and leading e-commerce platforms.

Join our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry.

Your #FutureInSight with EssilorLuxottica

Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world? Join us in redefining the boundaries of what’s possible.

Your role:

Within the Instruments Division of EssilorLuxottica in Greater Paris, the Computational Instrumentation Research Engineer will join the Scientific Department, under the responsibility of the Head of Instrumentation Studies. They will join a team responsible for delivering innovations in optical instrumentation for eye care professionals.

The role includes optical simulations and developments, statistical modeling, and scientific programming (including machine learning and high performance computing) for novel instrumentation projects at the forefront of clinical research, with an awareness of all relevant instrumentation aspects (including image and data processing algorithms), and future growth opportunities in clinical innovation.

The candidate will be actively involved in verifying critical functions and reporting results in accordance with scientific and technical good practice with clinical trials in mind.

Main responsibilities:

Design and implementation of optical signal processing algorithms (including machine learning and high performance computing) for ophthalmic instrument design.

Optical simulations and development.

Scientific and technical reporting for clinical trial documentation.

Reporting and scientific communication.

Contributions to the Intellectual Property portfolio.

Monitor/anticipate the trends in our field.

Scouting for new technologies for future products opportunities.

Main requirements:

Mandatory

Very strong scientific programming and algorithmic skills for computer vision applications, including uncertainty modeling of physical systems and machine learning.

Good understanding of physical sensors (especially imaging sensors), quantitatively modeling their behavior, and using them for computational imaging applications.

Very good proficiency with modern programming languages (Python, C++, Rust.) using best practices for software development.

Solid background in fundamental mathematics, physics, and physical optics.

Important

Strong GPU programming skills for high performance scientific computing and low-level image processing.

Willingness to learn computer-aided optical design.

Strong experience in research instrumentation in the private (R&D) or public sector.

Optional

Experience with laser sources and other optoelectronic instrumentation.

At least 2 years of experience in international settings (education and/or work).

Strong appetite for novel optical technology at the forefront of research.

Curious and eager to learn & grow.

Interested in making a difference in healthcare.

Educational Background:

Major in Physics, Mathematics, Engineering or equivalent.

Specialization in image processing / computer vision.

At least 8 years of research (or similar R&D work experience) in Computational Instrumentation and Scientific Programming for optical imaging applications.

Our Diversity, Equity and Inclusion commitment

We are committed to creating an inclusive environment for all employees. We celebrate diversity and provide equal opportunities to all, regardless of race, gender, ethnicity, religion, disability, sexual orientation, or any other characteristic that makes us unique.

2 days ago Be among the first 25 applicants

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.

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&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.

Job Requirements

• PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, or a related technical field
• Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
• Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as PyTorch, JAX, or Tensorflow with an interest in generative models, graph neural networks, or large-scale deep learning applications
• A strong theoretical foundation (probabilistic models, statistics, optimization, graph algorithms, linear algebra) with experience building models ground up
• A passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
• Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment)
• Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others

• 3+ years of post-PhD experience in an industry or postdoc role
• Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research)
• Hands-on prior experience working at the intersection of AI and Biology
• Experience in large-scale distributed training and inference, ML on accelerators

• Experience with genomics, transcriptomics, or proteomics data, particularly functional assays (e.g. ATAC, CAGE, Hi-C, …)
• Experience with complex data types, including multi-omics and health data (EHRs)
• Familiarity with public data repositories (NCBI, ENSEMBL, ENCODE, TCGA, UK Biobank) and experience curating datasets to answer specific scientific questions
• Experience with methods development for afore-mentioned data types
• Experience with multimodal or multiscale models (even in other domains, e.g. remote sensing, medical imaging)
• Deep knowledge of one or more of the following: transformers, convolutional networks, discrete diffusion models, self-supervised learning, and co-embedding approaches

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• Not Applicable

• Full-time

• Other
• Industries
• Software Development

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.

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&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.

Job Requirements

• PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, or a related technical field
• Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
• Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as PyTorch, JAX, or Tensorflow with an interest in generative models, graph neural networks, or large-scale deep learning applications
• A strong theoretical foundation (probabilistic models, statistics, optimization, graph algorithms, linear algebra) with experience building models ground up
• A passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
• Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment)
• Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others

• 3+ years of post-PhD experience in an industry or postdoc role
• Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research)
• Hands-on prior experience working at the intersection of AI and Biology
• Experience in large-scale distributed training and inference, ML on accelerators

• Experience with genomics, transcriptomics, or proteomics data, particularly functional assays (e.g. ATAC, CAGE, Hi-C, …)
• Experience with complex data types, including multi-omics and health data (EHRs)
• Familiarity with public data repositories (NCBI, ENSEMBL, ENCODE, TCGA, UK Biobank) and experience curating datasets to answer specific scientific questions
• Experience with methods development for aforementioned data types
• Experience with multimodal or multiscale models (even in other domains, e.g. remote sensing, medical imaging)
• Deep knowledge of one or more of the following: transformers, convolutional networks, discrete diffusion models, self-supervised learning, and co-embedding approaches

Join us as we embark on this journey to redefine the future of biology and medicine. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Not Applicable

Full-time

Other

Software Development

Scienta Lab is a deeptech company harnessing artificial intelligence to transform the drug discovery and development process in immunology and inflammation.

With its unique and proprietary EVA foundation model dedicated to immune-mediated diseases, Scienta Lab leverages multimodal data to bridge the gap of translational research, accelerate the validation of new therapeutic targets, and develop personalized treatments. The company’s research activities, led in partnership with top-tier academic institutions across Europe, are regularly featured in medical journals and international congresses.

Scienta Lab is based in Biolabs Hôtel Dieu and has been selected among the 2023 Future 40 program, which rewards the most promising startups of Station F each year. In December 2023, the company announced a seed round of €4M from CentraleSupélec Venture and a team of world-class business angels, seeking top talents to accelerate its development. In June 2025, Scienta Lab was a laureate of the EIC Accelerator program, recognized as one of the most innovative deeptech startups across Europe, receiving significant funding.

We are a team with diverse backgrounds in AI, Computational Biology, Immunology, and the pharma industry, with half of the team holding PhDs. Join us and be part of our exciting journey to unravel the mysteries of the immune system!

Discover who we are and what we value here .

As a Senior AI Research Scientist specializing in generative models at Scienta Lab, you will lead the development of next-generation AI approaches to model and generate biological data for drug discovery applications. You will spearhead research into novel generative architectures that can synthesize realistic biological scenarios, predict drug responses, and generate hypothetical therapeutic interventions in immune-inflammatory diseases.

Working at the intersection of cutting-edge AI and computational biology, you will expand our EVA foundation model capabilities by incorporating advanced generative techniques. Your research will directly contribute to accelerating drug discovery by enabling the simulation of complex biological systems and the generation of novel therapeutic hypotheses. You will collaborate with immunologists, computational biologists, and ML engineers in a multidisciplinary environment, leading high-impact research projects that bridge theoretical advances in generative AI with practical applications in precision medicine.

We value scientific rigor and innovation, aiming to publish breakthrough research in top-tier venues. This position offers exceptional opportunities for leadership, mentorship, and guiding the scientific direction of our AI research program.

Main Missions:

• Lead the development of novel generative architectures (diffusion models, VAEs, GANs, flow-based models) specifically tailored for biological data modalities including transcriptomics, proteomics, and clinical data
• Design and implement generative models that can synthesize realistic patient profiles, drug response scenarios, and disease progression trajectories to augment training datasets and enable what-if analyses
• Lead authorship on high-impact publications in top-tier AI and computational biology venues, represent the company at international conferences and workshops
• Guide junior researchers and collaborate with computational biologists to translate generative AI advances into practical drug discovery applications
• Translate research ideas into practical applications of our foundation model, impacting how drugs are developed today in immunology and inflammation

Who we are looking for

• PhD in Machine Learning, Computer Science, Statistics, or related quantitative field with focus on generative models
• 5+ years of research experience with a strong publication record in top-tier venues (NeurIPS, ICML, ICLR, Nature Methods, Nature Machine Intelligence, or equivalent)
• Expert-level Python programming, extensive experience with PyTorch or JAX, and familiarity with distributed training and GPU optimization

How to stand out

• You have high agency, look for solutions rather than problems, and you are a team player willing to go beyond your job description
• Prior work with genomics, transcriptomics, proteomics, or other high-dimensional biological datasets
• Experience with multimodal generative models and cross-modal generation
• You are experienced in working in dynamic, changing, and ambiguous environments such as startups, with rapid iterations

We’re building Mo — a health companion for everyone.

We’re a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise . We are building Mo, an intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care.

Imagine giving every person in the world instant, 24/7 access to personalised medical expertise - through chat, voice, or video. That’s what we are building .

We kicked off the project in 2023. After a strong R&D phase, we’re now testing real products with real users, and preparing to scale fast.

You. Better. With Alan.

We’re part of Alan, a leading European health insurance and healthcare company. That gives us access to world-class resources: 700,000+ members , 32,000+ client companies , €500M+ ARR , a talented team of 600+ people , strong positioning in AI (co-founded Mistral AI)

We benefit from Alan’s platform , infrastructure, distribution, and health expertise — but operate with the speed and focus of a startup. If you’re curious about Alan’s broader vision, theirShareholder Letters (2025-Q1, 2024-Q4) are worth a read.

We’re building a medical agent that works — reliably, safely, and at scale .

You’ll work at the intersection of AI research and clinical application . Our mission is to build the most accurate and reliable medical agent in the world , while delivering an outstanding conversational experience . Things we’re working on:

• Build internal medical models — You’ll develop and evaluate foundation models and fine-tuned architectures for structured clinical reasoning. This includes working with curated datasets (e.g. clinical cases, EMRs, guidelines), building doctor-like reasoning agents, and iterating closely with medical experts.

• Inject knowledge in clinical workflows — You’ll augment generation with structured clinical knowledge (e.g. drug databases, guidelines) using retrieval pipelines and hallucination-mitigation strategies.

• ️ Push the frontier of voice-based agents for healthcare — You’ll research and deploy streaming speech recognition and context-aware state switching — enabling Mo to handle real-time dialogue like a human clinician would.

• Develop eval frameworks for clinical AI —You’ll design and run evals, by hand and programmatically, to understand where our agents fail and improve them.

• Build lifelong memory and personalization infrastructure — You’ll explore architectures for dynamic memory and personalized reasoning, enabling Mo to be a personal, relevant health companion

If you’re excited by the idea of building the future of healthcare, this is the team for you - we're at the start of the journey. If you’re curious, here is a paper we published recently.

We’re looking for Research Scientists with 3+ years of experience (or equivalent research track record) who get excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare .

• You’ll work at the frontier of LLMs, multi-agent architectures, and human-in-the-loop learning — and see your work deployed in production, helping real people.

• You’ll tackle open-ended, high-risk research problems that demand rigor, creativity, and speed.

• You’ll work at the intersection of AI research and healthcare products, collaborating daily with doctors, engineers, and designers.

• You’ll have significant influence on research directions, system architecture, and evaluation methodology.

• You’ll mentor engineers and scientists, contribute to our research culture, and help build the team (including participating in hiring, shaping our interview loops, etc.).
  

You would be a good fit at Alan if most of this sounds like you:

• Strong background in machine learning, deep learning, and/or large-scale model training

• Experience with LLMs, RLHF, multi-agent systems, retrieval-augmented generation, or speech processing is a big plus

• Product-minded: you want your research to be used, not just written about

• Self-directed and pragmatic

• Humble and still willing to grow (no matter your seniority!)

• Collaborative, enthusiastic about teamwork, learning, and teaching

• Fluent in English (no need to speak French!)

But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.

People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work, such as:

1. Mission is the Boss: We have a mission-first focus with long-term thinking, where all employees act as owners seeking the company's success above all else.

2. Member & Customer-led: We are obsessively focused on solving customer problems and creating delightful experiences while building trust.

3. Excellence like Athletes: We maintain high standards and talent density, using the Keeper Test to ensure exceptional performance.

4. Enlightened Despots: We combine distributed ownership with accountability, empowering decision-makers while maintaining responsibility.

5. Radically Transparent: We make information accessible and written-first, promoting async communication while protecting sensitive data.

6. Kind, Methodic Optimists: We collaborate genuinely without ego, support teammates, and maintain positive intent while assuming the best.

7. Empathetic Challengers: We give direct feedback with empathy, praise strengths, and focus on growth through candid communication.

8. Bold & Creative Contrarians: We think differently to achieve greatness, challenge expertise with first principles, and embrace calculated risks.

9. Disciplined Executors: We focus on making good decisions quickly, maintain accountability, and break down problems into manageable pieces.

10. Fight for Simplicity : We eliminate unnecessary processes, stay concise and articulate, and maintain smart frugality while solving problems pragmatically.

At Alan, we believe that being in good health is a basic need , and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.

Therefore, we offer:

• Fair rewards . Generous equity packages complement your base salary, for permanent contracts only.

• Flexible Office . Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest.

• All the tools you need . Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones.

• Flexible vacation policy and flexible working hours . Organize your time as you wish.

• Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only) .

• Transport . Country-specific commuter benefits.

• Learning & Training opportunities . A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.

• Personal growth through coaching : At Alan, coaching isn't just a perk -it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential.Learn more about our coaching culture .

• Parental leave . Extended parental leave for all new parents, for permanent contracts only.

If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.

If you identify yourself as a woman : Did you know that research shows women often apply only when meeting 100% of requirements?

Remember, this is just a guide, not a checklist.

We'll be thrilled to receive your application!

Check out our About Alan and Career pages, as well as our Medium , blog and Glassdoor page for more info.

This range is provided by GenBio AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$100,000.00/yr - $300,000.00/yr

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.

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&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.

• PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
• Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
• Proven track record in developing and using advanced ML / AI methods for the analysis, modeling and / or generation of imaging and vision data
• Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
• A strong theoretical foundation (statistics, optimization, graph algorithms, linear algebra) with experience building models ground up
• A passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
• Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment)
• Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others

• 3+ years of post-PhD experience in an industry or postdoc role
• Hands-on prior experience working on biomedical images including one or more of the following: pathology images (H&E), various molecular and microscopy imaging, clinical image modalities (MRI, CT etc)
• Practical experience in deep learning applications specific to the analysis of such images including segmentation, feature extraction, supervised and unsupervised applications
• Experience in large-scale distributed training and inference, ML on accelerators
• Deep knowledge of various architectures and models for imaging data

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Not Applicable

Full-time

Other

Software Development