AI Software Engineer Jobs

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Join our team as a Healthcare Administrator - AI Trainer and play a crucial role in blending healthcare management expertise with cutting-edge artificial intelligence. In this impactful role, you will utilize your experience as a Medical and Health Services Manager to train AI systems, fostering smarter and more effective solutions for clinical and public health operations. Key Responsibilities:- Serve as a subject matter expert, explaining healthcare operations, administrative workflows, and team coordination to inform AI model development.- Plan, direct, and coordinate medical and health services for various healthcare settings, including hospitals, clinics, and managed care organizations.- Annotate and structure data to reflect real-world policies and administrative procedures in healthcare.- Collaborate with AI engineers and data scientists to iteratively improve models for clinical and public health applications.- Review, validate, and provide insights on AI-generated outputs for accuracy and compliance with healthcare standards.- Advise on evolving regulations and best practices, ensuring AI alignment with industry requirements.- Help design training materials and guidelines to facilitate effective knowledge transfer into AI systems. Qualifications:- Extensive experience as a Healthcare Administrator, such as Clinical Director, Health Information- Management Director, Medical Records Manager, or similar leadership roles.- Proven ability to plan, direct, or coordinate medical and health services in diverse healthcare environments.- Exceptional written and verbal communication skills, with demonstrated commitment to clarity and accuracy.- Strong understanding of healthcare system structures, administrative workflows, and policy implementation.- Demonstrated ability to explain complex healthcare concepts to technical and non-technical audiences.- Detail-oriented, analytical, and collaborative, with a passion for advancing healthcare through technology.- Comfort working independently in a remote, fast-paced, and innovative environment. Preferred Qualifications:- Experience training or collaborating with AI or machine learning development teams.- Familiarity with public health agencies, managed care organizations, or large healthcare networks. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Join our forward-thinking team as a Nurse Practitioner - AI Trainer and be a key contributor in revolutionizing healthcare technology. In this groundbreaking role, you will utilize your advanced clinical skills and patient care experience to train AI systems, improve diagnostic precision, and advance preventive healthcare education. Key Responsibilities:- Collaborate with a multidisciplinary team to design and deliver AI training that reflects real-world clinical scenarios.- Evaluate AI performance in interpreting patient cases, diagnostic tests, and lab results, providing expert feedback to optimize accuracy.- Author detailed case studies and documentation to support AI development, ensuring medical relevance and precision.- Provide insights into health promotion, disease prevention, and patient education for diverse populations.- Review and refine AI recommendations for prescribing medications and ordering diagnostic tests, drawing from your independent clinical authority.- Engage in continuous learning and share industry best practices to enhance AI capabilities in primary care and specialty settings.- Participate in virtual meetings and knowledge-sharing sessions, communicating findings clearly to both technical and clinical stakeholders. Qualifications:- Current Nurse Practitioner (NP) license and active registration as a Registered Nurse (RN) with advanced graduate-level education.- Demonstrated authority and experience in diagnosing, treating, and managing acute, episodic, and chronic illnesses.- Proven ability to independently order, interpret, and utilize lab work and imaging studies in patient care.- Excellent written and verbal communication skills, with a passion for bridging clinical knowledge and technology.- Strong commitment to health promotion, disease prevention, and patient-centered care.- Experience with electronic health records (EHR) and clinical decision support systems.- Detail-oriented, analytical, and eager to participate in projects that transform the future of medicine. Preferred Qualifications:- Prior experience as a clinical subject matter expert (SME) for healthcare technology or AI projects.- Background in curriculum design, training, or clinical education.- Enthusiasm for innovation and continuous improvement in healthcare delivery. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Join our innovative team and drive the future of artificial intelligence in media production. As a Producer or Director - AI Trainer, you'll leverage your expertise in producing and directing to mentor AI systems, enhancing their understanding of the intricacies and artistry involved in media creation. If you are enthusiastic about pioneering technology and shaping the future of media, we welcome your application. Key Responsibilities:- Train and guide AI models by demonstrating best practices in producing and directing for stage, television, radio, video, or film.- Provide annotated examples of key creative decisions, including script interpretation, casting, set design, sound, special effects, and choreography.- Exemplify outstanding written and verbal communication to model real-world collaboration and leadership in media production.- Partner with cross-functional teams to ensure AI systems accurately understand creative workflows and production logistics.- Develop and evaluate scenario-based data to demonstrate problem-solving and creative decision-making.- Offer insights and feedback to enhance AI learning processes and improve model precision in creative tasks.- Keep abreast of industry trends and incorporate innovative methodologies into AI training programs. Qualifications:- Extensive experience as a producer or director in entertainment, information, or instructional media.- Comprehensive knowledge of the full production lifecycle from inception to delivery.- Superior written and verbal communication skills, with a focus on clarity and teamwork.- Proven leadership in managing creative teams and resources.- Expertise in script interpretation, casting, and making critical creative decisions.- Familiarity with production logistics, budget management, and technical workflows.- Ability to simplify complex processes for instructional purposes. Preferred Qualifications:- Experience in training or mentoring, particularly in technical or creative environments.- Previous engagement in AI, machine learning, or digital transformation initiatives.- Strong interest in emerging technologies and their impact on media production. About RYZ Labs: RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Join our customer's team as a Medical Administrative Assistant - AI trainer, where your expertise in medical office administration will directly shape the future of healthcare technology. Leverage your in-depth knowledge of medical information handling and administrative processes to enhance the intelligence and reliability of AI-driven solutions. If you have a passion for clear communication and are eager to impact the intersection of healthcare and technology, this role is for you. Key Responsibilities:- Model and document best practices in health information management, appointment scheduling, and insurance processing for AI training purposes.- Serve as a subject matter expert (SME) on medical terminology, office protocols, and patient data workflows.- Collaborate with AI development teams to provide insights and feedback from a medical administrative perspective.- Review and validate AI outputs to ensure accuracy in understanding and application of medical administrative tasks.- Create written and verbal examples of authentic medical office communications to train language models.- Assist in developing comprehensive datasets that reflect real-world medical administrative scenarios.Identify gaps in AI knowledge and propose solutions for continuous improvement of training data. Qualifications:- Proven experience as a Medical Secretary, Medical Administrative Assistant, or similar healthcare administrative role.- Extensive knowledge of health information handling, appointment systems, and insurance processing.- Exceptional written and verbal communication skills, with meticulous attention to detail.- Strong organizational skills and ability to manage multiple priorities in a remote setting.- Comfort with technology and a willingness to engage with AI-driven tools and platforms.- Ability to translate complex medical administrative processes into clear, structured documentation.- Strong analytical skills and a proactive approach to problem-solving in a collaborative team environment. Preferred Qualifications:- Experience training or onboarding others in medical office environments.- Exposure to medical AI, data annotation, or related healthcare technology projects.- Advanced certifications in medical office administration or health information management. About RYZ Labs: RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Join our customer's team as a Medical Administrative Assistant - AI trainer, where your expertise in medical office administration will directly shape the future of healthcare technology. Leverage your in-depth knowledge of medical information handling and administrative processes to enhance the intelligence and reliability of AI-driven solutions. If you have a passion for clear communication and are eager to impact the intersection of healthcare and technology, this role is for you. Key Responsibilities:- Model and document best practices in health information management, appointment scheduling, and insurance processing for AI training purposes.- Serve as a subject matter expert (SME) on medical terminology, office protocols, and patient data workflows.- Collaborate with AI development teams to provide insights and feedback from a medical administrative perspective.- Review and validate AI outputs to ensure accuracy in understanding and application of medical administrative tasks.- Create written and verbal examples of authentic medical office communications to train language models.- Assist in developing comprehensive datasets that reflect real-world medical administrative scenarios.Identify gaps in AI knowledge and propose solutions for continuous improvement of training data. Qualifications:- Proven experience as a Medical Secretary, Medical Administrative Assistant, or similar healthcare administrative role.- Extensive knowledge of health information handling, appointment systems, and insurance processing.- Exceptional written and verbal communication skills, with meticulous attention to detail.- Strong organizational skills and ability to manage multiple priorities in a remote setting.- Comfort with technology and a willingness to engage with AI-driven tools and platforms.- Ability to translate complex medical administrative processes into clear, structured documentation.- Strong analytical skills and a proactive approach to problem-solving in a collaborative team environment. Preferred Qualifications:- Experience training or onboarding others in medical office environments.- Exposure to medical AI, data annotation, or related healthcare technology projects.- Advanced certifications in medical office administration or health information management. About RYZ Labs: RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Join our innovative team and drive the future of artificial intelligence in media production. As a Producer or Director - AI Trainer, you'll leverage your expertise in producing and directing to mentor AI systems, enhancing their understanding of the intricacies and artistry involved in media creation. If you are enthusiastic about pioneering technology and shaping the future of media, we welcome your application. Key Responsibilities:- Train and guide AI models by demonstrating best practices in producing and directing for stage, television, radio, video, or film.- Provide annotated examples of key creative decisions, including script interpretation, casting, set design, sound, special effects, and choreography.- Exemplify outstanding written and verbal communication to model real-world collaboration and leadership in media production.- Partner with cross-functional teams to ensure AI systems accurately understand creative workflows and production logistics.- Develop and evaluate scenario-based data to demonstrate problem-solving and creative decision-making.- Offer insights and feedback to enhance AI learning processes and improve model precision in creative tasks.- Keep abreast of industry trends and incorporate innovative methodologies into AI training programs. Qualifications:- Extensive experience as a producer or director in entertainment, information, or instructional media.- Comprehensive knowledge of the full production lifecycle from inception to delivery.- Superior written and verbal communication skills, with a focus on clarity and teamwork.- Proven leadership in managing creative teams and resources.- Expertise in script interpretation, casting, and making critical creative decisions.- Familiarity with production logistics, budget management, and technical workflows.- Ability to simplify complex processes for instructional purposes. Preferred Qualifications:- Experience in training or mentoring, particularly in technical or creative environments.- Previous engagement in AI, machine learning, or digital transformation initiatives.- Strong interest in emerging technologies and their impact on media production. About RYZ Labs: RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Our Mission:At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost. Our Vision:We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future.The Role:As a Computer Vision Engineer you are presented with a unique and exhilarating challenge: You will be building flexible, scalable and maintainable deep learning pipelines. You will be working on 2D image-classification, object-detection, semantic & instance segmentation, metric learning, smart filtering and many more while researching the latest applicable SOTA methods.What You'll Do:Develop 2D/3D imaging based solutions to recognize objects, anomalies or certain events.Contribute to the design and development of in-house MLOps.Implement end-to-end CV / ML applications and deploy them to production which will be running 24/7.Apply SOTA methods to create the next generation of robotics with an international multidisciplinary team.Who You Are:A very skilled and experienced computer vision or machine learning engineer who has a professional background in 2D/3D Computer Vision and 2D/3D Deep Learning.A professional software engineer who has implemented solutions for production grade systems for 3+ years.You have extensive experience with Python and are familiar with other programming languages, such as C++.You have experience with deep learning frameworks such as PyTorch and Tensorflow, computer vision frameworks such as OpenCV, Numpy, Pandas and others.You have in-depth knowledge of model optimization, model conversion, model deployment and are familiar with edge device compute.You have experience with MLOps, experiment tracking, data versioning and model serving on platforms such as MLFlow, W&B, CometML, ClearML, etc.You have experience with imaging hardware, such as industrial cameras, 3D cameras and stereo systems.You have a product oriented mentality.You have the ability to break down complex problems into small sub problems and build efficient hierarchical solutions.You have the capacity to work with multidisciplinary and international teams and are an excellent communicator who can articulate complex architecture and solution design concepts in a clear, compelling manner.You are passionate about robotics, automation, and the transformative potential of intelligent systems.Good to Have:You have experience with synthetic data generation, domain transfer and an ability to design smart and optimized data collection strategies.Experience with ROS, Docker, Kubernetes, AWS / GCE.Experience with NVIDIA edge devices, deployment and robotics stack.Experience with Multi Domain models and contrastive learning.Why Sunrise Robotics?Play a pivotal role in defining the future of intelligent robotics and manufacturing.Be part of a company that is at the forefront of technological innovation, with a clear mission and vision.Competitive compensation, including equity, and a flexible work environment that values innovation, learning, and excellence.

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary  • You'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely individual contributor role.• You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.• You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations.• You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production.• You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs.• You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages.• You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world.• You will travel approximately 30 to 60% of your time.• Your role will involve spending time at the client’s office. What you will do Delivering value to the customers• Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.• Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process• Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   Product deployment• Guide and support customers in deploying our models and products into their infrastructure.• Work closely with customers to deploy relevant solutions according to their specific requirements.• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.• Develop custom features for customers as needed. Customer Onboarding• Responsible for onboarding customers on our products, providing guidance on deployment and integration• Ensuring the best production setup from the low-level GPU stack, up to infrastructure, back-end and front-end interfaces Project management• Define and track success metrics of the POC being rolled out at customers.• Operate as a program leader, leveraging internal Mistral teams (Applied Engineers) as well as teams on the customer side to make sure project moves forward. About you • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• You have experience working as a DevOps, Site Reliability Engineer or Cloud Solution Architect• You're experienced with deploying and managing AI-based products in production environments• You are fluent in Python• You have experience with containerization technologies (Docker, Kubernetes), as well as CI/CD pipelines and automated deployment tools • You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premise infrastructure• You have been involved in a customer facing role• You have strong project & stakeholder management skills• You have foundational knowledge in AI/ML/Data science• You have ability to connect technology and business value • You are result driven and resilient• Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process (optional) • Talent Acquisition screening call• 30min Hiring Manager Interview• 45min Business Acumen Interview • 60min System Design• Panel (Home Prep & Restitution)• 30min Value Talk• Reference check Benefits France 💰 Competitive cash salary and equity🥕 Daily lunch vouchers : Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company🥎 Sport : Enjoy discounted access to gyms and fitness studios through our Wellpass partnership🚴 Transportation : Monthly contribution to a mobility pass via Betterway🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship🤝 Coaching: we offer BetterUp coaching on a voluntary basis

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About MistralAt Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers Role Summary – Software Engineering trackAs a Research Engineer on the software side, you will design and harden the codebase, tools and distributed services that let our scientists train and ship frontier-scale models. You do not need prior ML experience; what matters is writing clean, reliable code that scales.You will join our Platform REs team to build and maintain shared dev-tools, evaluation & data pipelines, training framework, cluster tooling and CI/CD. Location: Paris / London (hybrid) or remote EU/UK with one hub day per month. What will you do-Accelerate researchers by owning the complex parts of large-scale pipelines and delivering robust internal tooling.-Interface research with product: expose clean APIs, automate model pushes, surface live metrics.-Write efficient, well-tested Python and systems code; enforce code review, CI, and observability.-Design and optimise distributed services (Kubernetes / SLURM, thousands-of-GPU jobs).-Prototype utilities (CLI, dashboards) and carry them through to stable, shared libraries. About the Research Engineering teamBased in Paris and London, our REs move fluidly along the research ↔ production spectrum. Engineers can rotate between Platform and Embedded tracks as their interests evolve. About you-Master’s in Computer Science (or equivalent experience).-4 + years building and operating large-scale or distributed systems.-Strong software-design instincts: modular code, tests, CI/CD, observability.-Fluency in Python plus one systems language (C++, Rust, Go or Java).-Hands-on with container orchestration and schedulers (Kubernetes / K8s, SLURM, or similar).-Comfortable profiling performance, optimising I/O, and automating workflows.-Self-starter, low-ego, collaborative, high-energy. Nice-to-haves-Exposure to ML workloads or data-processing pipelines.-Experience with GPU clusters or CUDA.-Open-source contributions or widely used internal tools. Benefits France💰 Competitive cash salary and equity🥕 Food: Daily lunch vouchers🥎 Sport: Monthly contribution to a Gympass subscription🚴 Transportation: Monthly contribution to a mobility pass🧑‍⚕️ Health: Full health insurance for you and your family🍼 Parental: Generous parental leave policy🌎 Visa sponsorship UK💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or £90 per month for public transport🥎 Sport: £90 per month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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Reporting into the Head of People, the HR Business Partner will serve as a strategic partner to our teams globally, while also collaborating with the rest of the people team on global initiatives.  This role goes beyond traditional HR functions, serving as a true business partner who understands regional complexities while delivering consistent people-first solutions that fosters an environment where brilliant minds can do their best work. The ideal candidate will be a versatile professional who can navigate cultural nuances, compliance requirements, and strategic people initiatives to drive organizational success in a fast paced environment.  Key Responsibilities: HR Business Partnership Serve as a trusted advisor to People Managers providing guidance on people-related matters Translate company vision into people-centric programs that enhance our competitive advantage in the AI talent market Provide data-driven insights on workforce trends, helping People Managers make informed decisions about team structure, growth, and development Support organizational design that optimizes for innovation, collaboration, and knowledge sharing across technical and non-technical teams Talent Enablement & Employee Relations Design and implement enablement programs that accelerate the performance of our teams Create learning pathways that help employees navigate the rapidly evolving AI landscape Establish mentorship and knowledge-sharing frameworks that leverage our collective expertise Support career development for highly specialized roles with unique progression paths Manage performance review processes for your regions and provide guidance on performance improvement plans HR Operations & Employee Experience Oversee full-cycle people operations ensuring excellence in onboarding, performance management, and retention Create scalable people processes that maintain our agility while supporting growth Develop and nurture a distinctive company culture that balances technical excellence with human connection in a remote first workplace Facilitate career development conversations and succession planning Address and resolve complex employee relations issues with sensitivity to cultural contexts Promote a positive workplace culture that embraces diversity and inclusion Regional Compliance & Policy Management Ensure HR practices comply with local employment laws across multiple jurisdictions Stay current on employment legislation  Advise managers on risk mitigation strategies for people-related decisions Compensation & Benefits Support compensation review processes across regions Provide input on competitive and equitable compensation structures Explain complex benefits information to employees in clear, accessible terms Experience & Qualifications Minimum of 5+ years of progressive HR experience, ideally with at least 3 years supporting international regions In-depth understanding of employment laws in our markets Strong knowledge of HR best practices across multiple HR functions Excellent conflict resolution, communication and negotiation skills Experience with HR analytics and data-driven decision making Familiarity with the unique challenges of AI companies (ethics, rapid technological change, specialized talent) Exceptional cultural intelligence and ability to navigate diverse work environments Strategic mindset balanced with operational excellence Proficiency with HRIS systems and HR technology platforms Experience in technology, research, or AI-focused environments highly valued CIPD, SHRM certification or equivalent HR credentials a plus Compensation The salary range for this role is between $130,000-$150,000 USD. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes stock options and benefits. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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About Appier Appier is a leading SaaS company empowering businesses with cutting-edge artificial intelligence (AI) to drive smarter decision-making. Founded in 2012 with a mission to democratize AI, we transform complex data into actionable insights, making AI accessible and profitable. With 17 offices across APAC, Europe, and the U.S., and listed on the Tokyo Stock Exchange (Ticker: 4180), Appier is at the forefront of AI innovation. Visit www.appier.com for more information.   About the Role We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Machine Learning to join our Enterprise Solution Engineering Team, AIXON. This elite team leverages state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data at scale. In this role, you’ll be the vital bridge between cutting-edge research and production-grade deployment. You’ll design, build, and optimize scalable, high-performance ML infrastructure—including data pipelines, APIs, monitoring systems, and workflow orchestration—that power transformative AI solutions.   What You’ll Do Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows. Develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform. Build scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation. Design and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability. Develop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly. Collaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products. Lead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE) , Google Kubernetes Engine (GKE) , Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more. Define and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments. Harness distributed computing and parallel programming principles to optimize system resource utilization and performance.   What You Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred). 5+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, deploying enterprise-grade machine learning systems at scale. Expert proficiency in Python, Java, or Go, with solid foundations in data structures and algorithm design. In-depth experience with cloud environments (AWS or GCP) and cloud-native service management. Proven mastery of Docker containers and Kubernetes cluster management, including resource provisioning, autoscaling, and deployment best practices. Strong understanding of the ML lifecycle—from training and prediction to evaluation, backtesting, and feedback loops. Familiarity with Git workflows and Linux-based development environments. Passionate about continual learning and innovation, leveraging AI-powered developer tools like GitHub Copilot and ChatGPT to boost productivity.   What Will Set You Apart Experience in the MarTech industry or other customer-centric domains, eager to deliver products that delight users and drive business impact. Demonstrated architectural leadership and ownership, skillfully driving complex, cross-team platform initiatives. Strong grasp of deep learning fundamentals and end-to-end ML workflow platforms such as Kubeflow, MLflow, or AWS SageMaker. Hands-on experience with distributed data processing frameworks like Apache Spark, and pipeline orchestration tools such as Apache Airflow, Argo Workflow, or Luigi. Expertise in production-level ML applications, including handling data imbalance, preventing data leakage, and optimizing resource consumption for large-scale training and serving. Familiarity with real-time online inference architectures and batch processing trade-offs. Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together. Prior experience building or developing applications related to large language models (LLM), multi-agent LLM systems, or natural language processing (NLP).   Why Join Appier? At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!     #LI-AK1

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Agent SWE team at Decagon deploys the most advanced conversational AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will guide a team to build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions that support their needs.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleAs a leader on the Agent Software Engineeirng team, you’ll have complete ownership and autonomy in shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users.In this role, you willLead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionCollaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agentsPartner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsContribute to team strategy and help define the future of AI customer support agentsYour background looks something like thisHave 1+ years of engineering management experienceHave 5+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingA high degree of comfort digging into systems failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$300K – $375K + Offers Equity

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Product Engineering team at Decagon innovates on and refines the user experience, technical architecture and core features that power the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleAs a leader on the Product Engineering team, you’ll guide teams to build products that enable Customer Experience teams to train AI agents. Your team will develop cutting-edge methods to extract product insights from the treasure trove of unstructured data generated through conversations with end users.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.In this role, you willLead a team to design an AI agent building platform that supports Customer Experience teams in training AI agentsDevelop techniques for extracting insights from unstructured conversational data that drive product decisionsBuild automation that monitors and detects issues across hundreds of millions of interactionsBreak down ambiguous product ideas into clear, iterative milestones and roadmaps.Your background looks something like thisHave 3+ years of engineering management experienceHave 5+ years of industry experience in software engineeringProficiency with Typescript, Python and asynchronous programmingA high degree of comfort digging into systems failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$300K – $415K + Offers Equity

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