Top Machine Learning Engineer Jobs Openings in 2025

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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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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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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.

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Your impact At Handshake, Machine Learning is at the heart of our mission to democratize access to opportunity. Every student deserves to be seen, not just by any employer, but by the right one. In a three-sided marketplace spanning students, employers, and educators, machine learning is how we personalize discovery, match intent with opportunity, and drive better outcomes at scale.As Director of Engineering for Machine Learning, you’ll lead the team responsible for shaping our marketplace’s intelligence and delivering experiences that feel intuitive, relevant, and uniquely valuable to each user. This is a critical leadership role with wide-ranging impact, overseeing the technical vision, organizational health, and cross-functional partnership required to build the future of AI at Handshake.From rethinking how students are matched to jobs, to optimizing employer pipelines, to evolving our ML platforms for the AI economy, you’ll be at the helm of both strategic innovation and deep execution. It’s an opportunity to lead during a time of transformation, rebuild and grow a high-potential team, and ensure our AI efforts serve real human outcomes.Your roleDefine and drive the ML strategy that powers relevance, personalization, and marketplace efficiency across all sides of Handshake’s platform. Lead and coach an organization of ML Engineers and Software Engineers, including Staff Engineers and Engineering Managers, through a period of rebuilding and growth. Partner closely with Product, Data Science, and Design to identify high-leverage opportunities to embed intelligence into user experiences. Establish and scale best-in-class ML development practices from experimentation and evaluation to deployment and monitoring. Champion a healthy, resilient engineering culture rooted in mentorship, technical excellence, and a clear sense of purpose. Bring an opinionated lens to the role of Gen AI and Agentic Experiences in the future of talent and help Handshake build toward it with integrity and ambition.Your experience Deep expertise in applied machine learning and AI, ideally in multi-sided marketplaces or recommendation systems. Proven leadership experience managing engineering teams at scale, including people managers and senior ICs. A track record of shipping impactful ML/AI products and platforms, with clear metrics and end-user impact. A strong coaching mindset and the ability to rebuild, scale, and energize high-performing teams through change. Product and strategic intuition: you know when to go deep, when to pivot, and how to connect technical work to business and user outcomes. Exceptional communication and collaboration skills—you bring clarity and energy across cross-functional teams. A commitment to diversity, equity, and inclusion, and a belief in building teams where every engineer can thrive.Bonus areas of expertise Familiarity with foundational models, vector search, or retrieval-augmented generation (RAG) techniques. Experience operating in regulated or international markets with complex user dynamics.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the Role We are looking for a Senior Machine Learning Scientist to join the Enterprise Solution Science Team. Our team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data. In this role, you will be responsible for end-to-end development, from problem definition to driving model deployment into production.   What You’ll Work On Work on one or more of the following topics: user intention prediction, user segmentation, product recommendation, campaign content optimization, and send time optimization. Collaborate with product teams to translate product goals and business needs into well-defined ML problems during the planning stage. Work closely with ML engineers to deploy models to production, ensuring reliability and maintainability. Conduct offline and online evaluation, monitoring, and continuous optimization of models after deployment. Stay up to date with the latest research and proactively propose innovative applications. Mentor junior scientists and help evolve team developing culture and standards.   What We’re Looking For (Minimum) Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields. 3+ years of experience applying ML techniques in areas such as prediction, optimization, segmentation, or recommendation. Proficient in Python and commonly used ML frameworks such as PyTorch or TensorFlow. Practical experience in deploying enterprise-grade ML models, including model pipeline and performance dashboard development. Experience in cross-functional collaboration and leading industry projects. Strong sense of impact, with excellent analytical and problem-solving skills, and a passion for new technologies. Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity.   What We’re Looking For (Preferred) Industry experience in the MarTech domain, with a strong passion for building customer-centric products.     #LI-AK1

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   About the role We are looking for a Machine Learning Engineer Intern to join the Enterprise Solution Science Team. This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data. In this role, you will help bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure — including data pipelines, dashboards, and monitoring systems. We are currently looking for individuals who can commit to an internship schedule of 2~4 days (16~32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications. [ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]   What You’ll Work On   Assist in operating robust ML job execution frameworks for training, inference, and post-processing. Assist in building and maintaining internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform). Assist in implementing data infrastructure and monitoring tools like Prometheus and Grafana. Create internal tools and services to simplify ML experimentation and production workflows. Collaborate closely with senior ML engineers and scientists to turn research outputs into user-facing product features     What We’re Looking For [Minimum qualifications]   Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred) 2+ years of experience in ML or engineering Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms   [Preferred qualifications]   Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies. Familiar in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity Understanding of core ML and deep learning concepts Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine. Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)      

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Why SalesApe?Join SalesApe, one of the fastest-growing AI companies, recognised as a leader in cutting-edge AI technology and backed by over $20 million from top VCs. We’re at the dawn of a powerful evolution, set to transform society with our tech. Our mission? To tackle inequality by empowering a huge market of non-tech SMBs—93% of all businesses, think construction, automotive, real estate, and more. While the tech industry has compounded its growth with computing power, these businesses have been technically starved. With AI agents and our natural language interface technology, we’re unlocking huge productivity gains for our clients. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team. The emotional bond our clients feel toward their agent is undeniable—they often tell us their ‘Ape’ has become part of the family. Our vision is to become the ‘ brain’ of a business spinning out agent worker, freeing up time and simplifying operations, to ensure humans spend more time in real-life interaction. If you’re ready for intense, high-energy, meaningful work, come make a real impact with us at SalesApe Founder Elevator Pitch on our Mission and Purpose: As we started building with large language models and AI-powered natural language interfaces, I had an aha moment. It hit me just how significant this inflection point is: compute—the raw power of computers—is now accessible to people who don’t use computers." "And when I thought about that, I realized the closest invention humanity has seen to this shift was electricity. When electricity arrived, it didn’t just light up homes—it transformed industries, democratized wealth, and empowered everyone, from factory owners to farmers, to grow and thrive. Today, with AI, we have the opportunity to do the same for the real economy." "For the last two decades, the tech industry has had an incredible advantage. Computers have been like co-pilots for us, quietly amplifying our productivity and enabling us to grow faster than ever before. But 95% of businesses—builders, plumbers, and real estate agents—have been technically starved. These businesses make up 50% of GDP, five times larger than the entire tech industry, but they’ve never had access to the tools they need to compete." "This is the inequality we’re solving. APE AI is democratizing technology, bringing the power of compute to businesses that have been left behind. And what’s so rewarding is that we’re not just helping faceless corporations—we’re empowering real people. Small business owners who pour their hearts into their work. People whose success directly impacts their families, their communities, and society at large. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team." "For me, this mission is personal. I’ve spent my career building companies that encourage people to connect in real life, to be physically active, and to engage with their communities. This isn’t just about productivity—it’s about health, happiness, and thriving societies. Humans weren’t built to spend their lives staring at screens. We’re wired to interact, to move, to be part of the real world. And what excites me is that Ape AI is helping to make this possible—empowering businesses that create real-world value to thrive at the same pace as the tech giants." "This isn’t just about technology. It’s about fairness. It’s about giving the power of compute to the people who need it most, so they can grow, thrive, and make a difference. That’s our mission, and it’s something we can all be proud of."Role OverviewAt SalesAPE.ai, we’re seeking a driven AI Agent Intern to work closely with our internal team. You’ll collaborate with key stakeholders across the business—from product engineers to the operations manager—to help us build, optimize, and refine our AI agent workflows and processes.We’re looking for someone who knows how to leverage AI to get stuff done and loves working at a high tempo. If you’re a self-managing, growth-oriented problem solver who thrives in fast-paced environments, we’d love to hear from you.Key ResponsibilitiesAs our AI Agent Intern, you will:Configure and optimize AI agents: Support the internal team in setting up and training AI SDRs, ensuring they’re high-performing and aligned with company goals.Collaborate across teams: Work closely with engineers, product managers, and operations to iterate on our AI agent systems and workflows.Develop best practices: Contribute to building internal documentation and guidelines for prompt engineering and workflow improvements.Quality assurance: Oversee QA, testing, and launch processes for new AI agents, monitoring performance and identifying areas for refinement.Internal support: Help troubleshoot issues and support team members using AI agents in their daily workflows.Drive continuous improvement: Gather feedback and proactively suggest ways to enhance the use of AI within the business.What We’re Looking ForA background or degree in a logical, solution-focused discipline (Maths, Computer Science, Product Development, Mechanical Engineering, or similar).A self-directed, growth-oriented mindset and the ability to learn quickly.A history of self-learning through books, courses, or similar resources.A track record of working collaboratively and delivering high-quality work.Strong digital communication skills and comfort using online tools for internal collaboration.Join UsWant to play a pivotal role in shaping how we use AI to transform our business? Apply now and help us unlock the full potential of AI at SalesAPE.ai!

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