Top AI Machine Learning Engineer Jobs Openings in 2025

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About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description:Articul8 AI is seeking an exceptional Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data.Responsibilities:Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques.Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment.Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership.Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals.Required Qualifications:Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher.Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud).Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:4+ years of hands-on experience as an applied ML/AI researcherExperience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journalsProfessional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

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About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description:Articul8 AI is seeking an exceptional Applied AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for implementing novel algorithms and models capable of handling diverse modalities such as text, images, audio, video, and time series data.Responsibilities:Serve as the subject matter expert in various domains such as data pipelines, pre-training and post-training, reinforcement learning, model architecture development and optimization, multi-expert systems, and multimodal models and techniques.Play a pivotal role in pioneering technologies through all stages, from initial brainstorming and experimentation to validation and deployment.Collaborate with cross-functional teams to seamlessly incorporate innovation and maintain our product technology leadership.Continuously stay abreast of emerging trends and advancements in of GenAI and associated fields, while disseminating appropriate research results at top-tier conferences and journals.Required Qualifications:Education: PhD degree in Computer Science, Machine Learning (ML), or a related field; or alternatively, MSc Degree and experience (4+ years post BSc graduation) as a practicing researcher.Professional experience: proven track record as a researcher working in the design and implementation of ML/AI models and algorithms aimed at solving complex, real-world problems. A strong background in parallel/distributed computing (preferably on the cloud).Core technical skills: Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:4+ years of hands-on experience as an applied ML/AI researcherExperience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journalsProfessional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

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We are seeking for an Electrical Engineering Specialist - AI Trainer, you will play a crucial role in refining AI models by reviewing and correcting outputs on topics such as electrical circuits, signal processing, embedded systems, power systems, and electromagnetics. Your expertise will enable AI systems to interpret and respond to complex engineering queries with technical precision. Responsibilities:- Analyze and improve AI-generated content in electrical and electronic engineering domains.- Evaluate model responses for accuracy in areas such as analog/digital circuits, control systems, communications, and microelectronics.- Annotate and curate training data for electrical engineering-related LLM outputs.- Collaborate with technical teams to identify gaps, inaccuracies, or misleading content.- Apply engineering judgment to ensure high-quality, consistent model outputs. Qualifications:- PhD or MS in Electrical Engineering or a related field, or 3+ years of professional experience as an Electrical Engineer, Embedded Systems Engineer, or similar.- Deep understanding of core electrical engineering principles, system design, and signal analysis.- Ability to assess complex technical material and provide constructive feedback.- Strong written communication skills, especially in explaining technical concepts clearly.- Independent and detail-oriented, with strong decision-making skills. Bonus Experience:- Experience with simulation tools (e.g., SPICE), PCB design, or FPGA programming.- Familiarity with control theory, power electronics, or IoT systems.- Prior teaching, tutoring, or curriculum development in electrical engineering.- Exposure to LLMs or AI-based educational tools.- Participation in model evaluation or annotation workflows. 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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We are seeking Mathematics Specialist - AI Trainer for one of our clients . In this role, you will contribute your extensive subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Your main focus will be creating challenging problems within your domain to generate high-quality data that will significantly impact the future of AI innovation. Qualifications and Responsabilities:- Completed undergraduate studies in the US, UK, or Canada.- Hold a PhD in Mathematics or Statistics from a top US university.- Have high attention to detail.- Possess exceptional written and verbal communication skills.- Interface directly with prominent AI researchers from the lab through a private Slack channel.- Enjoy fully remote and asynchronous work, allowing for flexibility in your schedule. 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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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As a Member of Technical Staff in the Safety for Agents team, you will make a meaningful impact on the development of better and fairer Large Language Models (LLMs). Your primary focus will be on data generation, post-training algorithms, and evaluation methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams.This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management.It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions to these, and a desire to dive into messy data and results. You will be on a small team with a lot of autonomy and decision-making power, responsible for making the next generation of LLMs better for society as a whole.Please Note: The existing team work in offices in London, Edinburgh, Paris, Toronto, and New York, but we also embrace being remote-friendly! For this role you need to have ~50% working day overlap with UK/EU timezone (e.g. US East is fine) but there are otherwise no restrictions on where you can be located for this role. You may be a good fit if you have:Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.Extremely strong software engineering skills.Strong expertise in designing and conducting data collection tasks, including working with human annotators.Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models.Hands-on experience training large language models (LLMs) on distributed training infrastructures.Familiarity with evaluating and improving the generalizability and robustness of ML systems.Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).Excellent communication skills to collaborate effectively with cross-functional teams and present findings.One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.We are looking for a curious, impact-driven early career Data Scientist / Machine Learning Engineer to join our AI R&D team. You’ll develop and deploy models that power Piai™, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI. Working alongside senior ML engineers, data scientists, and legal subject-matter experts, you’ll turn raw legal and medical data into production-ready models that directly improve justice for personal-injury clients. What you’ll do:Model research & prototyping – Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding).Data preparation & feature engineering – Clean, annotate, and transform structured and unstructured case data; build reusable datasets and data loaders.Experimentation workflow – Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams.Productionization – Help integrate models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling.Cross-functional collaboration – Pair with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements.Continuous learning – Stay current with research in LLMs, representation learning, and prompt engineering; share insights through internal talks and docs. What we look for: Education: Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related fieldCore expertise:Solid grounding in machine-learning fundamentals (supervised & unsupervised learning, evaluation metrics, overfitting/regularization).Hands-on experience with NLP or generative-AI techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs). Technical stack:Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar.Familiarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks).Nice-to-have: exposure to cloud platforms (AWS/GCP), experiment-tracking tools (Weights & Biases, MLflow), or containerized deployment (Docker/Kubernetes). Mindset & people skills:Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup.Clear, concise communication—both written and verbal.Strong analytical thinking and a bias toward shipping pragmatic, high-impact solutions. Location: Hybrid – We have offices in San Francisco and TorontoNotice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address. If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks:Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco, Los Angeles, and TorontoPlease note the above benefits & perks are for full-time employees About EvenUp:EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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n8n is a workflow automation platform that uniquely combines AI capabilities with business process automation. We give technical teams the flexibility of code with the speed of no-code, backed by a passionate community of builders. With 500+ integrations and fair-code principles, we're revolutionizing how businesses connect their systems and processes. We were founded end of 2019 and currently: 🧑‍🤝‍🧑 We’re a diverse team of + 100 talented people 🚀 Our annual recurring revenue is growing 6x year-over-year ⭐️ With +100k GitHub stars, we are in the top 100 most popular projects of all time on Github 🍾 We’re Europe’s 25th fastest growing startup in 2024 according to Sifted 🌱 We were Sequoia's first seed investment in Germany, and most recently secured our $60M Series B (February '25, led by Highland)As a Senior AI Engineer, you'll drive intelligent features that redefine how users build automations. You'll build AI-powered capabilities, from natural language input to smart suggestions, that make creating workflows faster and more intuitive.You'll collaborate across engineering, product, and design to bring generative AI and LLM-based enhancements into the core user experience. You'll improve existing AI integrations, develop new ones, and shape how AI powers our product.You’ll work across the entire AI feature lifecycle:Architect and implement AI-powered capabilities: code generation, intelligent node creation, and workflow optimizationIntegrate LLM APIs and embedding models for text-to-workflow and natural language code suggestionsDesign and iterate on prompts to improve model output and user experienceBuild internal tooling, evaluation benchmarks, and automated testing for AI componentsCollaborate closely with other engineers to ensure AI features are reliable, performant, and scalableBalance experimentation with impact: ship quickly while focusing on user valueStay current with advances in LLMs, prompt frameworks, and developer tools - and bring those insights into our roadmapRequirements5+ years of experience building web-based products, ideally in B2B SaaS startupsStrong backend development skills with TypeScript, Node.js, and API designProven track record shipping AI-powered features in production with LLM APIs (OpenAI, Anthropic, etc.) and understanding of how to translate machine intelligence into user valueHands-on experience with prompt engineering, embedding models, and vector storesA user-focused mindset: you care about delivering features that solve real problemsA bias for shipping and learning - fast iteration is second nature to youBonus Points ForExperience fine-tuning LLMs or working with retrieval-augmented generation (RAG) systemsFrontend experience using Vue or ReactTechnical writing or documentation contributions, especially around developer tools or AIn8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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Your New Role and TeamSanctuary, a world leader in building AI-based control systems for humanoid robots, is looking to hire a skilled and motivated intern to join our Machine Learning Research team. Reporting to the AI Team Lead, you will have the opportunity to tackle a variety of challenges related to the perception, planning, and motion systems for humanoid general-purpose robots. The best candidates for this role have excellent software development and machine learning skills as well as hands-on experience with robotics. In this role you’ll be a valued contributor and you’ll gain a comprehensive understanding of the design, architecture, and implementation of the simulation platform and machine learning systems that power our general-purpose robots.

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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 an Applied AI Research Engineer, you will play a pivotal role in exploring and implementing innovative AI solutions for our advanced robotics platform and more broadly in embodied AI.This position offers the opportunity to tackle interesting challenges and transform the latest research into impactful, real-world solutions.What you will do:Perform research and development in the following areas:Foundational models, VLAs, VLMs, LLMs: Work with the latest advances in embodied AI to accomplish tasks naturally and accurately with our robots.Reinforcement Learning: Explore and implement effective and applicable control strategies for robotic manipulation.Sim2Real: Bridge the simulation-to-reality gap for robust model deployment by leveraging synthetic data.Work with the engineering teams to collaboratively transform research insights and latest developments into practical, deployable solutions.Who you are:You have proven knowledge and demonstrable experience in machine learning, deep learning, computer vision and algorithmic development.You have experience in applying research to solve complex problems and translate findings into practical implementations.You have a strong understanding of LLMs, VLMs and similar advancements.You have a strong understanding of reinforcement learning (on-off policy, actor-critic and model based).You are proficient in Python and have experience with frameworks like PyTorch, TensorFlow or equivalent.You have experience with (multi-modal) foundational models.You can demonstrate strong analytical and problem-solving skills with attention to detail and creativity.You are a great communicator who can articulate and visually present thoughts and concepts in conversations and reports.You are a decision maker with Occam’s razor being your modus operandi.You consider yourself as an efficient planner who can determine the most reasonable steps to follow with ease.Must have experience:PythonAI frameworks and platforms such as PyTorch, TensorFlow and Huggingface.Experience with Conda, Docker, Linux, Git and Jira - or a similar tool.Experience with AWS / GCE / Azure for AI workflows.Good to have experience:VLAs and VLMs.A solid understanding and experience in robotics is a plus but not mandatory - ROS/ROS2, Behavior TreesAgentic AIWhy 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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Join our customer's team as an Industrial Engineer - AI Trainer, where you will use your expertise to guide the development of next-generation AI in the industrial engineering sector. Share your knowledge to help AI systems understand efficiency challenges, model process optimization, and enhance productivity in manufacturing and production environments. Key Responsibilities:- Act as a subject matter expert (SME), providing insights on systems optimization, process mapping, and logistics for AI training purposes.- Design, develop, and evaluate integrated systems to streamline industrial production processes.- Collaborate with AI teams to translate real-world manufacturing scenarios into actionable datasets and training content.- Assess and refine AI outputs to ensure alignment with best practices in quality control, inventory management, and production coordination.- Model and document complex workflows, identifying inefficiency points and proposing solutions for process improvement.- Support the interpretation of cost analysis, human work factors, and material flow for AI learning modules.- Contribute to continual improvement of AI capabilities within industrial production contexts. Qualifications:- Proven experience in industrial engineering, focusing on optimizing production systems and processes.- Strong knowledge of process mapping, logistics, quality control, and systems integration.- Excellent written and verbal communication skills, with the ability to convey complex concepts clearly and effectively.- Demonstrated ability to work independently and manage part-time, remote commitments.- Experience collaborating with cross-functional teams, especially in technical or data-centric environments.- Strong analytical skills for evaluating efficiency, identifying bottlenecks, and recommending improvements.- Ability to distill operational challenges into practical solutions for AI training. Preferred Qualifications:- Prior experience training or developing content for artificial intelligence or machine learning applications.- Familiarity with AI/ML tools and the data annotation process in industrial settings.- Advanced degree in Industrial Engineering or a related field. 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 Real Estate Agent - AI Trainer, where your expertise will help shape the future of real estate technology. In this unique role, you'll combine your industry knowledge with a passion for communication to train AI systems to accurately interpret property listings, understand client needs, and manage real estate transactions. Become a key subject matter expert (SME) contributing to the development of smarter, more responsive AI solutions in the property market. Key Responsibilities:- Collaborate closely with AI development teams to provide real estate expertise and guidance.- Review, annotate, and refine property listings and legal documentation to improve AI understanding.- Advise on buyer and seller representation, property matchmaking, and contract creation within AI training modules.- Share insights on effective communication and persuasive strategies in client interactions.- Simulate real estate scenarios and dialogues to support AI learning processes.- Validate the accuracy and relevance of AI-generated content for property transactions.- Participate in regular feedback sessions to ensure AI alignment with real-world real estate practices. Qualifications:- Licensed real estate agent with proven experience in residential or commercial sales.- Exceptional written and verbal communication skills, with keen attention to detail.- Demonstrated ability to analyze property listings, conduct client interviews, and negotiate sales conditions.- Familiarity with legal contracts, sales documentation, and disclosure requirements.- Strong organizational skills and the ability to manage multiple priorities remotely.- Enthusiastic about leveraging technology to enhance real estate processes.- Commitment to delivering clear, persuasive communication in both written and verbal formats. Preferred Qualifications:- Prior experience as an SME or trainer in real estate or related technology projects.- Knowledge of AI, machine learning, or data annotation processes.- Bilingual or multilingual abilities to support diverse client scenarios. 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 an Applied AI Developer and work at the cutting edge of machine learning and generative AI. You will design, build, and deploy innovative AI solutions using state-of-the-art technologies such as LLMs and advanced NLP, while working closely with cross-functional teams. This unique opportunity allows you to deliver impactful solutions on massive datasets within a high-caliber, remote-first environment. Key Responsibilities:- Build, refine, and utilize advanced ML engineering platforms and reusable components to deliver scalable AI solutions.- Implement ML Ops processes, track model KPIs, monitor drift, and establish robust feedback loops for continuous improvement.- Deploy and operationalize deep learning models, with a focus on LLMs and generative AI, ensuring reliability and performance at scale.- Design and orchestrate model pipelines, including feature engineering, inferencing, and continuous training, to meet strict SLAs.- Collaborate with client-facing teams to understand high-level business contexts and translate them into technical requirements.- Write production-ready code with a focus on testability, maintainability, and handling edge cases and errors gracefully.- Actively participate in agile ceremonies, communicate progress effectively, and adhere to best practices for architecture, design, and code quality. Qualifications:- Bachelor’s or Master’s degree in Computer Science or a related field from a top-tier university.- 4+ years of hands-on experience in machine learning, deep learning, and fine-tuning models (LLMs).- Expert-level proficiency in Python; experience with backend API design and vector databases.- Solid understanding of ML Ops, including measuring and tracking model performance, and MLFlow.- Demonstrated experience in NLP, generative AI, and deploying real-time model predictions.- Strong communication skills—both written and verbal—are essential for cross-functional collaboration.- Experience with ML frameworks such as Keras and HuggingFace. Preferred Qualifications:- Familiarity with DevOps practices, CI/CD pipelines, cloud architecture, and data security.- Experience in data engineering for big data systems and knowledge of PySpark or Scala.- Background in computer vision and implementing end-to-end feature engineering pipelines. 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.Apply for this job

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We are seeking a highly skilled Physicist to join our team. In this role, you will leverage your deep expertise in physics, advanced mathematics, and analytical reasoning to train, fine-tune, and rigorously evaluate AI models. Your background in scientific methodology and critical thinking will be essential in ensuring our AI systems achieve the highest standards of performance, accuracy, and reliability. Key Responsibilities:- Design sophisticated evaluation frameworks that challenge AI systems in simulations of complex physical environments, focusing on adaptive learning, physical realism, and system response to real-world variables.- Research, define, and validate optimal AI behaviors in physical modeling by analyzing experimental data, computational simulations, peer-reviewed research, and domain-specific case studies.- Conduct in-depth, iterative testing of AI components such as physics-based simulations, predictive modeling engines, and adaptive systems, identifying inaccuracies, points of failure, and opportunities for enhanced fidelity.- Develop robust scoring rubrics and evaluation matrices to consistently assess AI performance across scientific accuracy, predictive reliability, adaptability, and alignment with established physical principles.- Document and report findings through comprehensive feedback cycles, providing actionable insights to refine AI models and guide future development in physics-driven AI systems. Qualifications:- Ph.D. in Physics or a closely related field (e.g., Applied Physics, Astrophysics, Mathematical Physics, Engineering Physics).- Solid foundation in scientific research methods, statistical analysis, and data interpretation.- Strong critical thinking and problem-solving skills, particularly with complex, multi-variable systems.- Experience with programming languages such as Python, MATLAB, or Julia, particularly for data analysis or modeling.- Familiarity with machine learning concepts (e.g., supervised learning, unsupervised learning, reinforcement learning) is highly preferred.- Excellent communication skills, with the ability to explain complex concepts to non-expert audiences. Preferred Qualifications:- Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).- Experience working with large datasets and knowledge of data preprocessing techniques.- Background in computational physics or numerical simulation.- Prior experience in interdisciplinary research teams involving AI applications. 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 client's team as a Geologist – AI Trainer, where your geological expertise will help shape the next generation of artificial intelligence models in earth sciences. In this groundbreaking role, you'll use your knowledge of field mapping, rock and mineral identification, and geoscience data analysis to train AI systems on complex geological concepts. This is a unique opportunity to influence cutting-edge AI technology while working with passionate professionals in a fully remote setting. Key Responsibilities:- Develop high-quality training data and validate AI outputs on geology topics, ensuring accuracy and relevance.- Apply field mapping and sampling experience to create realistic geological scenarios and case studies.- Annotate and review geological datasets, including rock, mineral, and stratigraphic information, for AI learning.- Collaborate with data scientists and AI engineers to translate geoscience concepts into actionable AI training tasks.- Utilize GIS tools to enhance spatial data representation and interpretation for machine learning applications.- Draft comprehensive technical documentation and training materials that reflect best geological practices.- Provide feedback and insights to refine AI models, drawing on expertise in structural geology, geochemistry, and geophysics. Qualifications:- Bachelor’s or Master’s degree in Geology, Earth Sciences, or a related discipline.- Proven experience in field mapping and sampling, and rock and mineral identification.- Solid understanding of stratigraphy, sedimentology, and structural geology.- Competency in geochemistry and geophysics fundamentals.- Proficient with Geographic Information Systems (GIS) and geoscientific data analysis.- Strong skills in core logging, well logging, and technical report writing.- Exceptional written and verbal communication skills, with strong attention to detail and clarity. Preferred Qualifications:- Experience in AI, data annotation, or machine learning projects related to geosciences.- Advanced experience with GIS analysis or geological modeling software.- Demonstrated ability to convey complex scientific concepts to cross-functional technical teams. 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 client's team as a Radiologist - AI Trainer and directly influence the future of medical imaging. In this position, you'll use your clinical expertise to review, annotate, and provide feedback on radiological data, playing a crucial role in improving the accuracy and reliability of groundbreaking AI models. You'll collaborate remotely with a dedicated team advancing healthcare technology. Key Responsibilities:- Review and annotate radiological images, including CT, MRI, and X-ray scans, for the training and validation of AI algorithms.- Evaluate AI-generated reports for diagnostic accuracy, clinical clarity, and compliance with established medical standards.- Provide expert feedback on model performance, edge cases, and diverse clinical scenarios to support continuous improvement.- Work closely with AI researchers and data teams to ensure model outputs are clinically relevant and robust.- Strictly adhere to clinical guidelines, ethical standards, and data privacy protocols when interpreting medical data.- Identify potential improvements in annotation processes and share insights to refine AI learning strategies.- Communicate findings and feedback through written documentation and verbal discussions with cross-functional teams.- Engage in 50 hours per month of dedicated AI training and project work. Qualifications:- Board-certified Radiologist (or equivalent international qualification) with 3–5+ years of clinical imaging experience.- Proven expertise in diagnostic accuracy across major modalities (CT, MRI, X-ray).Strong clinical communication skills, both written and verbal, with meticulous attention to detail.- Experience using PACS and radiological reporting tools for image assessment and workflow integration.- Ability to critically evaluate image quality and detect subtle pathologies.- Proficiency in English for providing clear, constructive written feedback.- Commitment to dedicating 50 hours per month to AI training participation. Preferred Qualifications:- Previous exposure to AI/ML concepts, annotation platforms, or data labeling tools.- Interest in technology-driven healthcare innovation and model development best practices.- Experience collaborating with technical teams in an interdisciplinary environment. 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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We are looking for an innovative Gaming Expert - AI Trainer to play a crucial role in guiding our AI models to understand and generate design-driven, creative content. Your expertise in game design and strategic thinking will be essential in bridging the gap between creative vision and technical execution, shaping the future of AI creativity. Key Responsibilities:- Create detailed evaluation scenarios that challenge AI systems within dynamic, real-world gaming environments, emphasizing adaptive learning, realism, and player impact.- Research, define, and validate optimal AI behaviors using game analytics, community insights, case studies, and authoritative gaming sources.- Conduct in-depth, iterative testing of AI components such as NPC behaviors, procedural storytelling, and in-game decision systems to identify failure points and areas for improvement.- Develop comprehensive scoring rubrics and behavioral matrices to consistently assess AI performance in terms of creativity, believability, responsiveness, and strategic execution.- Report findings through detailed feedback loops to guide AI model improvements and inform future design decisions. Required Skills and Qualifications:- Bachelor's degree in Game Design, Computer Science, Cognitive Science, or a related field, or equivalent experience.- Deep understanding of gameplay mechanics, player psychology, and AI's role in modern gaming experiences.- Strong analytical skills with experience in structured evaluations, user testing, or QA analysis.- Familiarity with AI models used in games, such as behavior trees, reinforcement learning, and procedural content generation.- Passion for games, both playing and analyzing them from a systems and player-experience perspective.- Exceptional collaboration and communication skills. Preferred Qualifications:- Experience in AI model training or development.- Familiarity with business-relevant content generation.- Background in creative design or artistic direction. 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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Gauss Labs is looking for a passionate and talented AI Engineer for developing cutting-edge Industrial AI solutions that will normalize the standard of AI for manufacturing. We are working with the world's best manufacturing customers while accessing the vast amount of real data from their manufacturing processes. We apply state-of-the-art AI technologies to the data and develop unprecedented AI/ML solutions to transform manufacturing to the next level.As an AI Engineer, you will be responsible for translating cutting-edge AI and machine learning research into robust, scalable software solutions. Your work will ensure the seamless integration of models into production environments and contribute to the broader success of AI initiatives across the company. You will develop AI software by working with seasoned Applied Scientists, Software Engineers, and Program Managers located in Palo Alto, California, USA and Seoul, South Korea.

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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.