AI Research Scientist – Join Datadog's AI Research Team

As a key member of the Datadog AI Research (DAIR) team, you will collaborate closely with research engineers and partner with Datadog's Product and Engineering teams. Your role will focus on tackling fundamental research challenges and transforming groundbreaking research into impactful solutions for our customers.With our established track record of deliver…

We invite you to submit your CV in English, along with your level of English proficiency.Mindrift is a platform that connects experts with project-based AI opportunities for leading technology companies, specifically in the realm of testing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.Project Overview:Contributors will engage in unique tasks, which may include:Designing innovative computational physics problems that reflect authentic physics research workflows;Creating problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally demanding and cannot be solved manually in a reasonable timeframe (days/weeks);Formulating problems that require complex reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Developing problems based on genuine research challenges or practical applications in the field of physics;Validating solutions through Python and standard physics simulation libraries;Providing clear documentation of problem statements and ensuring that correct answers are verified.Desired Qualifications:This position suits quantum researchers experienced in Python who are open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation, with knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language;A minimum of 2 years of professional experience, including applied, research, or teaching roles;Experience with numerical simulation methods;The capability to design problems that replicate real-world physics research workflows;Creative problem-solving skills across various physics disciplines;Familiarity with physics modeling and approximation techniques;Strong written English proficiency (C1 or higher).Application Process:Apply → Complete qualification(s) → Join a project → Execute tasks → Receive payment.Project Commitment:During active project phases, contributors should expect to dedicate approximately 10–20 hours per week, depending on specific project requirements. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $45 per hour, contingent on their level of expertise and contribution pace. Please note that compensation may vary across different projects based on their scope, complexity, and required expertise.

About MistralAt Mistral, we are dedicated to democratizing artificial intelligence, creating groundbreaking intelligence solutions accessible to everyone, developed transparently, and crafted by engineers across the globe.We boast a dynamic, collaborative team driven by a shared passion for AI and its transformative potential for society. Our diverse workforce excels in competitive settings, committed to fostering innovation, with teams spread across Europe, the USA, and Asia. We value creativity, humility, and a strong team spirit.At Mistral, we design models tailored for enterprises and consumers alike, focusing on systems that revolutionize business operations and seamlessly integrate into daily life. We are proud to release cutting-edge models as open-source, encouraging everyone to explore and benefit from them.Mistral is on the lookout for experts in training large language models and distributed systems. Join us and be part of a pioneering organization that is shaping the future of AI.Key Responsibilities* Research and innovate novel AI methodologies for general-purpose mobile manipulation robotics.* Develop tooling and infrastructure for the training, evaluation, and analysis of AI models at scale.* Collaborate cross-functionally with fellow scientists, engineers, and product teams to implement AI systems on real robotic platforms.Ideal Candidate Profile* Proven experience in building and deploying AI systems on physical robots or in developing large-scale vision-language models.* Proficient software engineer in at least one programming language, preferably Python.* Hands-on experience with AI frameworks, ideally PyTorch.* Strong engineering skills, capable of designing complex software and ensuring its usability in production environments.* Self-motivated, autonomous, and a collaborative team player.Preferred Qualifications* Experience in navigation, manipulation, simulators, 3D modeling, embodied reasoning, or vision-language-action models.* Familiarity with the complete MLOps stack, including fine-tuning, evaluation, and deployment processes.

About MistralAt Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, save valuable time, and enhance both learning and creativity. Our solutions are meticulously crafted to integrate effortlessly into the fabric of everyday work life.We democratize AI through advanced, optimized, and open-source models, products, and solutions that are at the forefront of technology. Our robust AI platform is tailored to meet the diverse needs of enterprises, whether deployed on-premises or in cloud environments. Among our offerings is le Chat, your AI assistant that enhances both life and work.As a vibrant and collaborative team, we are deeply passionate about AI and its potential to revolutionize society. Our diverse workforce thrives in competitive settings and is dedicated to fostering innovation. With teams distributed across France, the USA, the UK, Germany, and Singapore, we pride ourselves on being creative, humble, and team-oriented.Join us at Mistral AI to be part of a pioneering organization that is shaping the future of artificial intelligence. Together, we can create a significant impact. Discover more about our culture at mistral.ai/careers.About The RoleMistral AI is on the lookout for talented Applied Scientists and Research Engineers to spearhead innovative research initiatives and collaborate with clients on complex projects. You will be tasked with developing state-of-the-art models across various modalities, including text, image, and speech. By pioneering novel methodologies and research concepts, you will apply these models across a wide range of use cases and industry domains. In collaboration with internal and external teams in science, engineering, and product management, you will deliver high-impact AI solutions that drive results.Key Responsibilities• Execute pre-training, post-training, and deployment of state-of-the-art models using clusters equipped with thousands of GPUs, approaching challenges like OOM errors or NCCL issues with confidence.• Generate and curate data for pre-training and post-training phases, conducting evaluations to ensure model performance consistently exceeds expectations.• Create essential tools and frameworks to streamline data generation, model training, evaluation, and deployment processes.• Collaborate with cross-functional teams to address complex use cases utilizing agents and RAG pipelines.• Oversee research projects and maintain effective communication with client research teams.Qualifications• Proficient in English with outstanding communication skills, able to demystify complex technical concepts for both technical and non-technical audiences.• Expertise in PyTorch or JAX is essential.• Comfortable contributing to large codebases and capable of navigating independently with minimal guidance.• A strong analytical mindset with a passion for continuous learning and improvement.

Your RoleJoin Doctolib as we transform healthcare delivery through groundbreaking AI technologies centered on medical reasoning. In the position of Senior Staff Research Scientist, you will spearhead the development of innovative AI systems that enhance clinical decision-making and assist healthcare professionals in their everyday practices. Your work will bridge the gap between machine learning and healthcare, constructing models that comprehend medical knowledge, navigate intricate clinical scenarios, and support medical practitioners in delivering superior care.Your key responsibilities include:Tackling Real-World Healthcare Challenges: Design and develop state-of-the-art machine learning models, particularly in Natural Language Processing (NLP) and large language models, to optimize healthcare processes, improve patient experiences, and enable scalable intelligent health solutions.Innovate & Experiment: Conduct research and prototype pioneering algorithms and architectures, remaining at the cutting edge of AI/ML advancements. Convert innovative concepts into functional prototypes, utilizing the latest breakthroughs in deep learning and generative AI.Collaborate Across Teams: Partner with product teams, engineers, medical specialists, and other stakeholders to translate business requirements into impactful research initiatives. Effectively communicate technical ideas and findings to both technical and non-technical audiences.Drive Impact: Analyze vast, complex datasets to derive actionable insights, define essential metrics, and rigorously assess model performance.Share & Learn: Elevate Doctolib’s AI capabilities by disseminating findings within the team and the broader ML community through publications, presentations, and workshops. Mentor and guide fellow scientists and engineers in applying best practices.

Genbio, with headquarters in Silicon Valley and offices in Paris and Abu Dhabi, brings together scientists, engineers, and entrepreneurs to advance biology and medicine using generative AI. The company’s main focus is on pan-modal Large Biological Models (LBM), which support new developments in healthcare and biomedicine. Role overview This Research Scientist Internship in Paris offers direct experience working with Genbio’s R&D team. Interns join ongoing projects that use large language models and generative AI to decode biological processes and develop practical solutions for healthcare. The team has a strong background in both AI and biological science. What you will do Work in Paris as part of a global team focused on biomedicine Contribute to research on Large Biological Models and generative AI Collaborate with experienced professionals in AI and biological science Who Genbio is looking for Genbio welcomes interns who are eager to support progress in biology and medicine. The company continues to grow and seeks those ready to contribute to its mission of advancing biomedicine through AI-driven research.

About Mistral AIMistral AI is at the forefront of artificial intelligence, committed to transforming the way we work and learn. Our innovative technology is crafted to effortlessly integrate into daily routines, streamlining tasks and fostering creativity.We aim to democratize AI by providing high-performance, optimized, open-source models and solutions. Our robust AI platform caters to enterprise requirements, whether deployed on-premises or in the cloud. Among our offerings is le Chat, an AI assistant designed to enhance both personal and professional life.As a vibrant and collaborative team, we are united by our passion for AI and its potential to revolutionize society. Our diverse workforce thrives in dynamic environments and is dedicated to pioneering innovation. With teams spread across France, the USA, the UK, Germany, and Singapore, we embrace creativity, humility, and a spirit of collaboration.Join us in shaping the future of AI and making a meaningful impact. Discover more about our culture at https://mistral.ai/careers.Role OverviewMistral AI is on the lookout for enthusiastic Applied Scientist and Research Engineer Interns to spearhead innovative research and collaborate with clients on intricate projects. You will be instrumental in developing state-of-the-art models across various modalities, including text, image, and speech. By pioneering new methodologies, you will apply these models to a wide array of use cases and domains. In this role, you will work cross-functionally with internal and external teams to deliver impactful AI solutions that drive progress.This internship is available at our offices in Paris and London.Key Responsibilities• Execute pre-training, post-training, and deployment of state-of-the-art models on clusters equipped with thousands of GPUs, maintaining composure in the face of technical challenges.• Generate and curate data for training and evaluation, ensuring that model performance exceeds expectations.• Develop essential tools and frameworks to streamline data generation, model training, evaluation, and deployment processes.• Collaborate with cross-functional teams to address complex use cases utilizing agents and RAG pipelines.• Oversee research projects and manage communications with client research teams.Your Profile• You possess fluent English communication skills and are adept at articulating intricate technical concepts to both technical and non-technical audiences.

About the Institute of Foundation ModelsWe are an innovative research laboratory dedicated to the development, understanding, and application of foundation models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-based economy.Joining our team means you will engage in the advanced training of state-of-the-art foundation models, collaborating with leading researchers, data scientists, and engineers. You will address some of the most pressing and transformative challenges in AI development, contributing to pioneering AI solutions with the potential to revolutionize entire industries. Your strategic and innovative problem-solving skills will be vital in positioning MBZUAI as a global leader in high-performance computing for deep learning, driving discoveries that will inspire future AI visionaries.The RoleAs a Research Scientist focusing on speech and audio machine learning, you will play a key role in designing and training cutting-edge end-to-end neural speech models. You will be tasked with developing crucial intellectual property, evolving beyond traditional ASR to TTS systems and creating native audio-to-audio multimodal architectures.

We kindly request that you submit your CV in English and specify your level of English proficiency.At Mindrift, we connect talented specialists with exciting project-based opportunities in AI for top-tier tech companies, focusing on testing, evaluating, and enhancing AI systems. Please note that participation is on a project basis and does not constitute permanent employment.Opportunity OverviewEach project presents distinct challenges; however, contributors may be involved in the following tasks:Designing original computational physics problems that simulate authentic physics research workflows;Creating problems that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensuring the problems are computationally demanding and cannot be manually solved within a reasonable timeframe (days to weeks);Developing problems that require intricate reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real research challenges or practical applications from the field of physics;Validating solutions using Python with established physics simulation libraries;Thoroughly documenting problem statements and providing accurately verified solutions.Ideal Candidate ProfileThis opportunity suits physicists with Python experience who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching experience;Familiarity with numerical simulation methods;The ability to design problems that reflect real physics research workflows;Creative problem design skills across various physics domains;Understanding of physics modeling and approximation techniques;Strong command of written English (C1+ level).How the Process WorksApply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Project CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and does not guarantee a specific workload during the project's lifecycle.CompensationContributors can earn up to $45 per hour, contingent on their expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills. Please note that other projects on our platform may offer different earning potential based on their specific requirements.

About MistralAt Mistral, we are dedicated to democratizing artificial intelligence, creating cutting-edge solutions that empower individuals and businesses alike. Our innovative approach thrives on collaboration among talented engineers from around the globe, making AI accessible and beneficial for everyone.We cultivate a vibrant and inclusive work environment where our diverse team, passionate about AI's transformative potential, thrives. With locations across Europe, the USA, and Asia, we embrace creativity, foster teamwork, and uphold a low-ego culture that prioritizes collective success.Mistral focuses on developing advanced models tailored for both enterprise solutions and consumer applications, aiming to revolutionize business operations and enhance everyday experiences. Our commitment to open-source practices allows everyone to explore and benefit from our cutting-edge models.We are currently seeking talented professionals in the field of large language model training and distributed systems. Join us to be a trailblazer in shaping the future of AI technology.What You Will Do* Innovate and research novel methodologies to advance large language models.* Engage with diverse use cases (e.g., reasoning, coding, and agents) and modalities (e.g., text, image, and audio).* Develop and enhance tools and infrastructure to facilitate large-scale training, evaluation, and analysis of AI models.* Collaborate cross-functionally with scientists, engineers, and product teams to deliver impactful AI systems.Who You Are* You possess expertise in speech input/output methodologies specifically relating to audio.* You are a proficient software engineer with experience in at least one programming language, such as Python, Rust, Go, or Java.* You have hands-on experience with AI frameworks (e.g., PyTorch, JAX) or distributed systems (e.g., Ray, Kubernetes).* You demonstrate high engineering competence, capable of designing complex software systems suitable for production environments.* You are a self-starter who thrives both independently and as a collaborative team member.Preferred Qualifications* Experience with large-scale speech-language models is a plus.* Practical experience in training large transformer models is highly desirable.

Join Aqemia as a Senior Application Research Scientist, where you will be at the forefront of applying cutting-edge computational techniques to accelerate drug discovery. You will collaborate with an innovative team to develop novel methodologies and contribute to impactful projects that push the boundaries of science.

We kindly request that you submit your CV in English, along with your proficiency level in the language.Mindrift is a dynamic platform that bridges talented specialists with project-oriented AI opportunities at leading technology firms, emphasizing the evaluation and enhancement of AI systems. Please note that participation is project-based and does not lead to permanent employment.Role Overview:Your contributions will involve various tasks tailored to each project, including:Designing innovative material engineering challenges that reflect true engineering workflows;Developing problems that necessitate Python programming for engineering simulations and calculations;Creating computationally intensive problems that require numerical methods or iterative solutions;Formulating challenges involving system design, optimization, and analysis;Aligning problems with real-world research issues or practical engineering applications;Validating solutions through Python using established engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications:This opportunity suits material scientists and engineers proficient in Python, open to engaging in part-time, non-permanent projects. Ideally, candidates will possess:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is acceptable;A minimum of 2 years of professional experience, which can include applied, research, or teaching roles;A solid understanding of practical engineering limitations and approximations;Exceptional written English skills (C1+).How the Process Works:Apply → Successfully pass qualifications → Join a project → Complete assigned tasks → Receive paymentProject Expectations:For this role, tasks are anticipated to require approximately 10–20 hours per week during active phases, contingent on project demands. This is an estimation and not a guaranteed workload while the project is ongoing.Compensation:Contributors can earn up to $45 per hour, based on their contribution level and pace. Compensation may vary across projects depending on the scope, complexity, and required expertise. Please be aware that different projects on the platform may offer varying compensation rates based on their specific requirements.

Please submit your CV in English and include your English proficiency level. Role overview This freelance position with toloka-ai (via Mindrift) connects material scientists to project-based AI work for leading technology companies. The main focus is evaluating and improving AI systems. Assignments are temporary and do not constitute permanent employment. What you will do Design materials engineering problems that mirror real-world workflows Create challenges requiring Python programming for engineering calculations and simulations Develop computationally intensive problems using numerical methods or iterative approaches Build tasks involving system design, optimization, and analysis Base challenges on research questions or practical engineering scenarios Validate solutions using Python and standard engineering libraries Document problem statements clearly and provide verified answers Requirements Degree in Material Science or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus At least 2 years of professional experience (applied, research, or teaching) Solid understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) How projects work Apply Pass qualifications Join a project Complete assigned tasks Receive payment Time commitment Active project phases usually require 10–20 hours per week. Actual hours depend on current project needs and are not guaranteed outside of active assignments. Compensation Earn up to $45 per hour, depending on experience and the rate of task completion. Pay may vary by project scope, complexity, and required expertise. Other projects may offer different rates based on their specific requirements.

Aqemia is seeking a talented Numerical Methods Research Scientist to join our innovative team in Paris. As a key contributor, you will leverage advanced scientific computing techniques to develop and optimize numerical methods that underpin our cutting-edge research initiatives. This position offers an exciting opportunity to work in a dynamic environment at the forefront of computational science.

Please submit your CV in English and describe your English language proficiency. toloka-ai, working with Mindrift, connects experienced professionals to project-based AI work for leading technology companies. This freelance contract centers on evaluating and refining AI systems. The position is not permanent and assignments are project-based. Project Scope Each assignment brings a new data science challenge. Typical responsibilities include: Designing original data science problems that reflect real analytical workflows in sectors such as telecom, finance, government, e-commerce, and healthcare. Building problems that require Python solutions, using libraries like Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensuring tasks are computationally intensive and cannot be solved by hand in a short time. Developing complex scenarios involving data processing, statistical analysis, feature engineering, predictive modeling, and drawing insights. Creating deterministic problems with reproducible outcomes, either by avoiding randomness or setting fixed seeds. Basing problems on real business needs, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Covering the entire data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Including big data processing that requires scalable approaches. Validating solutions with Python and standard data science tools and statistical methods. Documenting each problem clearly, providing realistic business context and verified solutions. Requirements At least 5 years of hands-on data science experience with measurable business results. A portfolio of completed projects or publications showing real-world problem solving. Expertise in Python for data science (including pandas, numpy, scipy, scikit-learn, statsmodels). Deep understanding of statistical analysis and machine learning, including practical algorithms and applications. Advanced SQL skills and experience with database operations for analysis and data manipulation. Background in Generative AI technologies (such as LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment practices. Familiarity with frameworks like TensorFlow, PyTorch, or LangChain. Strong written English skills at C1 level or above. Application Process Apply Complete qualifications Join a project Perform tasks Receive payment This freelance data scientist role is remote, based in Lyon, Auvergne-Rhône-Alpes, France.

Join our innovative team as an AI Research Engineer at Datadog AI Research (DAIR), where you will collaborate with leading research scientists to transform groundbreaking research concepts into functional systems. Your role will involve constructing the data, tools, and infrastructure that facilitate swift iteration, reliable evaluation, and a seamless transition from prototype to production.Building on our established success with AI-driven solutions such as Bits AI, Watchdog, and Toto, our team at Datadog AI Research is dedicated to tackling ambitious projects that address real-world issues in cloud observability and security.Currently, we are focusing on three pivotal research domains:Observability Foundation Models – Developing state-of-the-art models for enhanced forecasting, anomaly detection, and multi-modal telemetry analysis (including logs, metrics, traces, etc.). These models will serve as the backbone for our agents to natively analyze telemetry data.

About Mistral AI At Mistral AI, we harness the transformative power of artificial intelligence to streamline tasks, enhance productivity, and foster creativity. Our innovative technology is seamlessly integrated into everyday workflows. We are committed to democratizing AI by providing high-performance, optimized, open-source models, products, and solutions. Our comprehensive AI platform caters to both enterprise and individual needs, featuring offerings like Le Chat, AI Studio, Mistral Code, and Mistral Compute — all designed to empower users with cutting-edge intelligence. As a vibrant and collaborative team, we are passionate about AI’s potential to bring societal change. Our diverse workforce thrives in competitive environments and is dedicated to driving innovation. With teams spread across France, USA, UK, Germany, and Singapore, we prioritize creativity, humility, and teamwork. Join us in shaping the future of AI and making a meaningful impact. Discover more about our culture at https://mistral.ai/careers.

We are seeking a passionate Data/AI Analyst Intern for a six-month internship starting in June within our AI Builders Research team.Your mission? Enhance your skills in data science and AI, particularly in generative AI, while gaining insights into the technological developments impacting large enterprises.Your Responsibilities:Conduct scientific research to analyze and summarize the latest technological advancements in AI, with a focus on LLMs.Communicate scientific findings to colleagues on trending AI topics and lead workshops and training sessions on Data and AI.Investigate and analyze the potential applications of data, AI, and generative AI in businesses, as well as the impact of these technologies on job transformations.Study market Data/AI solutions, evaluating their products, performance, and market positioning.Review methods for large-scale evaluation and deployment of generative AI solutions.Generate research reports on the evolution of generative AI solutions in the market, their performance in specific use cases, and provide technical recommendations on the most suitable solutions.Develop proof-of-concept projects to test various LLMs and agent architectures.Why Join AI Builders?As a part of France's leading Data and AI strategy firm, you will have access to the most exciting, challenging, and innovative AI industrial projects, working directly with our consultants on assignments involving the executive teams of major corporations.

Join Pigment, the cutting-edge AI platform revolutionizing business planning. We are looking for a Senior AI Scientist with a robust computer science background and extensive experience in Large Language Models (LLMs). In this pivotal role, you'll engage in groundbreaking NLP projects that enhance our product offerings. If you possess a passion for machine learning and thrive in a collaborative, high-impact environment, we want to hear from you!

About Us At lemlist, we are dedicated to revolutionizing sales engagement. Our platform empowers sales teams with innovative tools and insights, providing them with the competitive edge they need to succeed.Having achieved remarkable growth from a startup to a profitable B2B SaaS company with a valuation of $150M and an ARR of $35M within just 6 years, we are proud to support over 40,000 sales teams globally in booking more meetings and closing more deals.We are on the lookout for a talented Data Scientist / AI Engineer to join our dynamic team. In this role, you will be instrumental in identifying and implementing AI use cases that significantly impact our product and business, collaborating closely with our Product and Engineering teams.Your Key Responsibilities:Explore and identify opportunities for AI innovation within our product, propose actionable use cases, and take ownership from concept to deployment.Design, develop, and maintain systems based on Large Language Models (LLMs), including prompt engineering, orchestration, retrieval pipelines, and evaluation frameworks.Deploy and manage AI models and infrastructure, overseeing GPU server management and model serving.Design, train, evaluate, and maintain production Machine Learning models.Provide data-driven insights to support our business and product teams.Expected Outcomes:Within 3 months, you will have:Integrated successfully into the team.Gained a comprehensive understanding of our product, data, and existing AI systems.Conducted an audit of our LLM systems and ML models, identifying quick wins and areas for improvement.Delivered your first AI use case from start to finish in production.Established or enhanced evaluation frameworks for at least one existing LLM system.Within 12 months, you will have:Implemented multiple impactful AI use cases that measurably enhance our product.Developed a robust evaluation and observability layer for various LLM systems in production.Significantly advanced the AI culture within lemlist.Provided strategic insights to C-level executives (CEO, CPO, CMO, Head of Sales…).