Research Scientist in Speech and Audio Machine Learning

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 a…

About the Institute of Foundation ModelsThe Institute of Foundation Models is a premier research laboratory committed to the development, comprehension, application, and risk management of foundation models. Our mission is to propel advancements in research, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-driven economy.Joining our team provides a unique opportunity to engage with cutting-edge foundation model training alongside distinguished researchers, data scientists, and engineers. You will confront some of the most fundamental and impactful challenges in AI development while contributing to the creation of revolutionary AI solutions capable of transforming entire industries. Your strategic and innovative problem-solving abilities will be crucial in positioning MBZUAI as a global center for high-performance computing in deep learning, facilitating groundbreaking discoveries that will inspire future AI trailblazers.The RoleAs a Research Engineer focused on speech and audio machine learning, you will serve as the link between research and production constraints, ensuring competitive performance. You will oversee the complete performance lifecycle of our machine learning speech systems, from designing scalable training infrastructures to achieving ultra-low-latency inference capabilities.

Join us as we seek to expand our team with an innovative Audio and Multimodal ML Engineer at connecthum, a thriving AI infrastructure startup dedicated to developing the safety and control framework for large-scale AI systems.About connecthum:An AI-native product company focused on enhancing AI safety and infrastructure.Supported by leading international investors.Expertly managing substantial AI traffic across diverse enterprise environments.Specializing in training and fine-tuning proprietary models for superior performance and reliability.A compact, highly skilled team that embraces a fast-paced development cycle.We are committed to creating a robust control and evaluation layer for AI systems, empowering organizations to define, test, and enforce AI behavior in real-world scenarios.Your Role:Train and enhance large-scale audio and multimodal models.Design and execute experiments focused on architecture, data mixtures, and training strategies.Develop and optimize audio data pipelines to ensure efficiency.Enhance inference speed, latency, and production readiness for models.Deploy models end-to-end in low-latency environments.Establish substantial evaluation metrics that extend beyond standard benchmark scores.Collaborate closely with research and engineering teams to drive innovation.This is a dynamic, hands-on position where research and production converge.Technical Environment:Utilizing PyTorch-based training pipelines.Engaging in large-scale distributed training techniques.Implementing speech and audio modeling architectures.Integrating multimodal models for comprehensive solutions.Optimizing models through quantization, distillation, and streaming inference.Overseeing production deployment and serving systems.(Full technical stack details will be shared during the interview process.)Qualifications:Minimum of 3 years of experience in training deep learning models, particularly in audio or speech domains.Strong expertise in distributed training frameworks.Deep understanding of audio signal processing fundamentals.Proven experience in deploying models to production, with a focus on latency and performance.Exceptional problem-solving skills and collaborative spirit.

Join nabla as a Senior Machine Learning Engineer specializing in Speech to Text technologies. You'll work at the forefront of AI, developing innovative solutions to enhance communication through advanced speech recognition. Collaborate with a talented team to push the boundaries of machine learning applications, focusing on real-world impact and user experience.

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 delivering AI-powered innovations such as Bits AI, Watchdog, and Toto, Datadog AI Research is dedicated to addressing high-risk, high-reward projects that are rooted in real-world issues related to cloud observability and security.We are currently concentrating on three main research domains:Observability Foundation Models – Developing cutting-edge models that enhance forecasting, anomaly detection, and multi-modal telemetry analysis (including logs, metrics, traces, etc.). These models will empower our agents to perform native analysis on various telemetry data.

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.

Are you seeking to join an innovative team that embraces a continuous Test & Learn approach and truly empowers your ambitions? Look no further! At SFEIR, your career path is yours to navigate—whether it be vertical, horizontal, or cross-functional. Your PlaygroundTechnology Stack: Google Cloud Platform (including VertexAI, VertexAI Search, Cloud Run, Cloud Storage), Python, and ML libraries, along with RAG architecture.SFEIR AI: A dedicated program to master generative AI and agent-based coding.Community: Join a vibrant network of 140 Google Cloud certified professionals, 30 Google Authorized Trainers, and 7 Google Developer Experts. Your MissionsDesign and develop robust and scalable ML/AI solutions on GCP.Implement RAG architectures using Vertex AI Search and orchestrate Large Language Models (LLMs).Develop strategies for Prompt Engineering and model optimization.Establish pipelines for model evaluation and monitoring.Contribute to the AI transformation of our clients with innovative solutions. Your ProfileYou have a minimum of 5 years of experience in Data Science / Machine Learning.You possess proven professional experience with Google Cloud.You are passionate about your field: you engage in continuous learning and have personal projects. Why Join SFEIR?Every Sfeirian is paired with an Engineering Manager for support.Opportunities for growth into roles such as Senior Staff Engineer, Senior Principal Engineer, or Engineering Manager.Ongoing training access via Google Cloud Skills Boost and certifications.Participation in Google Cloud events.Be part of an active community with over 50 annual events. Your Sfeirian PackageChoice of equipment: MacBook Pro or Dell Precision.

Join Margo Group as a Data Scientist or Machine Learning Engineer within our cutting-edge Practice IA MARGO team. In this role, you will leverage your analytical skills and machine learning expertise to drive innovative solutions that enhance our data-driven decision-making processes.You will collaborate with cross-functional teams, harnessing data to create predictive models and actionable insights that contribute to the success of our projects.

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.

Join Our TeamAt Doctolib, we are on a mission to revolutionize healthcare access and enhance the quality of life for healthcare professionals. As a part of our commitment to responsible artificial intelligence, we are seeking a Master’s level intern to assess biases in a pediatric dialogue system by analyzing interactions between AI and patients.Collaborating with Doctolib's data scientists and researchers from LISN (Université Paris-Saclay), you will help ensure fairness and reliability in our AI health solutions. One of the key objectives of this internship is to create an annotated and anonymized dataset that will be published as open-source. This five-month internship will allow you to work on a project with significant societal impact, at the intersection of natural language processing, health, and AI ethics.Your responsibilities will include:Conducting a literature review on bias assessment methods in health-related language modelsAnalyzing a corpus of anonymized dialogues between the AI system and pediatric patients/parents to identify potential biasesDefining and implementing an annotation scheme to characterize identified biasesBuilding an evaluation framework based on demographic characteristic disaggregationApplying this framework to the dialogue system and comparing results with other autoregressive models

Cohere is seeking a research intern for the summer in Paris, with a focus on reinforcement learning. This position is intended for students or recent graduates eager to gain practical experience in artificial intelligence and machine learning research. Role overview Collaborate with Cohere's research team on reinforcement learning projects Take part in research activities and contribute to ongoing studies Analyze data and assist in developing algorithms to improve reinforcement learning methods Who this role is for Students or recent graduates with an interest in reinforcement learning Those looking for hands-on experience in AI and machine learning research This internship provides an opportunity to develop research skills and work with others in a collaborative environment.

About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, save time, and boost creativity and learning. Our innovative technology seamlessly integrates into everyday professional environments, enhancing efficiency and productivity.We democratize artificial intelligence through a suite of high-performance, optimized, open-source models and solutions. Our extensive AI platform caters to both enterprise and individual needs, featuring Le Chat, La Plateforme, Mistral Code, and Mistral Compute - a groundbreaking collection that delivers state-of-the-art intelligence to users.Our dynamic and collaborative team is passionate about the potential of AI to revolutionize society. Comprising a diverse workforce spread across France, the USA, the UK, Germany, and Singapore, we thrive in competitive settings and are dedicated to fostering innovation. We pride ourselves on being creative, humble, and team-oriented.Join us in shaping the future of AI and making a significant impact in the field. Explore more about our culture at https://mistral.ai/careers.Mistral AI participates in the E-Verify programRole OverviewResearch Engineering Team IntroductionOur Research Engineering team encompasses both the Platform (shared infrastructure & clean code) and Embedded (integrated within research squads) divisions. Engineers have the flexibility to shift along the research-to-production spectrum based on evolving interests and requirements.As a Research Engineer focused on Machine Learning, you will be instrumental in building and optimizing large-scale learning systems that underpin our open-weight models. Collaborating closely with Research Scientists, you will have the opportunity to join either:- **Platform RE Team**: Enhance the foundational training frameworks, data pipelines, and cluster tools utilized by all teams; or- **Embedded RE Team**: Integrate directly within a research squad (such as Alignment, Pre-training, Multimodal, etc.) and transform innovative ideas into scalable, repeatable code.Location: Paris / London (hybrid) or remote within EU/UKKey Responsibilities• Facilitate researchers by managing the intricate aspects of large-scale ML pipelines and developing robust tools.• Bridge cutting-edge research with production: integrate model checkpoints, streamline evaluation processes, and expose APIs.• Conduct experiments utilizing the latest deep-learning methodologies (including sparsified 70B+ runs and distributed training on thousands of GPUs).• Design, implement, and benchmark ML algorithms, while producing clear, efficient code.

Join Safran AI as a Deep Learning Scientist Intern specializing in acoustics. This role offers an exciting opportunity to apply advanced deep learning techniques to acoustic data analysis, contributing to cutting-edge projects in the field of artificial intelligence.

TLDR: We are seeking an experienced Audio and Multimodal Machine Learning Engineer to develop, train, and deploy cutting-edge speech, audio, and multimodal AI models for an advanced AI safety platform that handles over 100 million API calls each month.About UsWhite Circle is at the forefront of AI safety, dedicated to creating a reliable and optimized framework for AI systems. Our innovative platform is powered by simple natural-language policies that dictate the acceptable behaviors of AI models. We automate the testing, enforcement, and continuous enhancement of these policies to ensure they scale effectively.Backed by $11 million from leading investors, founders, and executives from organizations like OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, and Datadog.Processing over 100 million API calls monthly.We specialize in fine-tuning and training our own large language models to outperform both open-source and proprietary alternatives in speed and cost.Our team is small yet immensely focused. If you are eager to tackle complex challenges, quickly see your contributions in production, and shape the future of AI safety, we want you on our team.Your Responsibilities:Train and refine large-scale audio and multimodal models from scratch and using pretrained checkpoints.Design and execute experiments, including architectural modifications, data mixes, and training methodologies.Create and maintain audio data pipelines, transforming raw recordings into training-ready datasets.Optimize models for production environments, focusing on quantization, distillation, and streaming inference.Implement end-to-end model deployment, ensuring low-latency serving from research checkpoints.Collaborate with research teams to translate experimental concepts into deployable features.Establish key evaluation metrics and benchmarks that are crucial for product performance.Ideal Candidate:3+ years of experience in training large-scale deep learning models within audio, speech, or acoustic realms.Proficient in PyTorch and experienced in distributed training frameworks (such as DeepSpeed, FSDP, etc.).Familiar with audio/speech architectures like Audio Qwen, Whisper, HuBERT, or Conformer.Experience with multimodal architectures such as Audio Flamingo, Omni Qwen, etc.

Join Our Team as a Machine Learning EngineerAt Harmattan AI, we are pioneering the development of autonomous and scalable defense systems that make a meaningful impact. With our recent $200 million Series B funding, which has propelled our valuation to $1.4 billion, we are expanding our innovative teams to deliver essential systems to allied forces.Our core values include a commitment to technological advancement with real-world applications, a relentless pursuit of excellence, ambitious goal-setting, and tackling the most complex technical challenges. We thrive in an environment where high standards, accountability, and execution are paramount.Role OverviewAs a Machine Learning Engineer on our Foundational team based in Paris, you will be crucial in developing the cognitive capabilities of our tactical robots. Your primary responsibility will be to architect and scale large, multi-modal foundational models that derive robust battlefield representations through Self-Supervised Learning (SSL) from extensive unlabelled Electro-Optical (EO) and Infrared (IR) data. These foundational weights will empower our Edge AI team to create highly accurate models for tactical hardware.Key ResponsibilitiesArchitectural Design: Innovate neural network architectures (such as Vision Transformers) and loss functions (including Masked Autoencoders and Contrastive Learning) to effectively learn from both paired and unpaired EO and IR datasets.Training Infrastructure Management: Oversee and enhance training pipelines across multi-node GPU clusters, optimizing mixed-precision training and data loading processes.Evaluation of Representations: Establish metrics and linear-probing benchmarks to validate that the latent space captures meaningful semantic features prior to model distillation.Data Strategy Development: Assess current EO/IR data lakes and implement cross-attention mechanisms to integrate diverse sensor features.Collaboration: Work closely with Data Engineers on data ingestion pipelines and partner with the Edge AI team to ensure seamless transitions of high-performance models.

Role OverviewJoin our innovative team at Mistral in the heart of Paris as a Data Scientist. In this pivotal role, you will collaborate closely with product management, research, and engineering teams to analyze user behaviors, enhance product performance, and develop data-driven features aimed at advancing our cutting-edge AI product suite.We are looking for individuals who thrive in fast-paced, dynamic environments and enjoy solving complex problems. This is an exciting opportunity for those who wish to directly influence our product roadmap. The successful candidate will possess a robust background in data analysis, statistical modeling, and machine learning, with a track record of achieving exceptional results in high-pressure situations.If you're passionate about data, enthusiastic about AI, and ready to make a substantial impact on our data science strategy, we invite you to apply.Key Responsibilities• Define essential metrics, thoroughly assess the performance of our AI offerings, and pinpoint areas for enhancement.• Design and conduct experiments (A/B tests, causal inference) to validate hypotheses and inform product strategies.• Spearhead end-to-end data science projects, encompassing data collection, preprocessing, model development, evaluation, and deployment.• Assess model performance in both training and production environments, identifying edge cases and creating frameworks to gauge user satisfaction.• Collaborate with engineering teams to ensure the integrity and accessibility of data for analytics and machine learning applications.• Depending on your level of expertise, mentor colleagues and disseminate best practices in data science and analytics.Candidate ProfileEssential Qualifications:• A minimum of 2 years of professional experience as a Data Scientist.• A Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.• Proficiency in Python and SQL.• A strong technical aptitude complemented by excellent communication skills.

Join our dynamic team at Gorgias as a Data Scientist specializing in Large Language Models (LLM). In this role, you will harness the power of data to drive insights and innovations, collaborating with cross-functional teams to enhance our products and services. Your expertise will be pivotal in analyzing complex datasets and developing predictive models that will shape the future of our technology.

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.

At Lifen, we believe that medical data has the power to revolutionize the healthcare system, but only if it is accessible. More accessible data leads to reduced administrative burdens, improved care coordination, and faster scientific discoveries.Since 2015, our mission has been to unlock this potential. Our AI-driven solutions enable healthcare professionals to effortlessly share medical information and empower researchers to accelerate clinical discoveries, impacting millions of patients in France every day. As we prepare to expand across Europe, our success hinges on two key factors: our teams and our mission.Today, over 150 individuals work both onsite and remotely to unleash the potential of health data. We have connected 800 hospitals and 150,000 healthcare professionals, and we are just getting started. We seek individuals who embrace complexity, are eager to tackle challenging problems, and are ready to build the future of healthcare collaboration.Our AI TeamThe AI team at Lifen delivers over one million real-time predictions daily, powering our flagship product, Lifen Document, which transforms the exchange of medical reports among practitioners in France.With six years of experience in handling medical data, our team consisting of 5 ML Engineers and 1 Engineering Manager excels at building robust and secure models that drastically streamline healthcare professionals' administrative tasks.From layout extraction to pseudonymization, fine-tuning LLM for medical data extraction, and applying NLP algorithms to structure documents, we encompass the entire intelligent data processing chain in healthcare. What You'll Do with UsAt Lifen, Machine Learning addresses concrete challenges in processing medical documents, utilizing exploratory approaches in NLP and computer vision. During this internship, you will work on innovative topics at the intersection of research and industrial application. On a daily basis, you will:• Conduct experiments on NLP and vision challenges, exploring new approaches (calibration, confidence and context attribution in LLMs, reinforcement learning, multimodal models...).• Carry out thorough scientific monitoring and implement methods from recent publications, adapting them to our specific use cases in the medical field.• Rigorously evaluate the performance of your models...

About VoodooEstablished in 2013, Voodoo is a pioneering tech company dedicated to developing engaging mobile games and applications that entertain millions globally. With a workforce of 800 talented individuals, we have achieved 7 billion downloads and boast over 200 million active users, making Voodoo the third-largest mobile publisher worldwide, trailing only Google and Meta. Our impressive portfolio features hit games such as Mob Control and Block Jam, along with popular applications like BeReal and Wizz.TeamThe Engineering & Data team is at the heart of crafting innovative technology products and platforms that fuel our incredible growth in gaming and consumer applications, ensuring Voodoo remains at the cutting edge of the mobile gaming landscape.Joining the Data team, you'll become part of the BI/Prediction squad, an autonomous group of approximately 10 experts, including top-tier product managers, software and data engineers, data scientists, and analysts.RoleOur mission is to supercharge the company's growth by providing on-demand predictive analytics for all Voodoo business units. This involves addressing vital needs such as forecasting campaign lifetime value (LTV) for user acquisition optimization, identifying the most effective monetization strategies for millions of players, and constructing confidence intervals for time series data predictions.We are seeking a passionate Senior Data Scientist with extensive experience in similar environments who can elevate our predictive capabilities. This role presents a unique opportunity to make a strategic impact on Voodoo’s overall success.This position is hybrid, requiring 3 days a week in our Paris office.Take ownership of our product modeling pipelines.Drive high modeling performance through innovative ideas and initiatives.Rapidly build and deploy scalable machine learning systems.Collaborate effectively across teams to harness new ideas and insights, demonstrating excellent communication with product managers, peers, and stakeholders.Conduct in-depth data analysis to uncover meaningful insights.Develop a comprehensive understanding of the mobile gaming sector, company strategy, and product alignment within daily operations.Mentor and lead a team of data scientists, fostering a culture of technical excellence and autonomy.Establish and uphold best practices in machine learning engineering, experimentation, and reproducibility across projects.Champion the integration of advanced analytical techniques to drive business insights.