GenAI/ML Engineer

Hello,We are excited to present a fantastic opportunity for a GenAI Engineer within the dynamic field of AI and Machine Learning. This role is fully remote, allowing you to work from anywhere, and is a perfect fit for someone with extensive experience in developing prototypes and proofs of concept.Position OverviewAs a GenAI Engineer, you will leverage your …

Join our dynamic team at Ekumen Labs as a Machine Learning Data Engineer. In this role, you will leverage your expertise in machine learning and data engineering to design and implement robust data pipelines that facilitate the deployment of machine learning models. Your contributions will be crucial in transforming raw data into valuable insights that drive business decisions and enhance the efficiency of our operations.

About Agero:At Agero, we're redefining the vehicle ownership experience. Our mission is to enhance the relationship between clients and their customers through innovative people and data-driven technology. As a leading B2B provider of digital driver assistance services, we are transforming traditional processes into efficient, digital, and connected solutions. Our offerings include a state-of-the-art dispatch management platform powered by Swoop, comprehensive accident management services, and a growing ecosystem of consumer support. Partnering with top automobile manufacturers and insurance carriers, Agero oversees 150 million vehicle coverage points and responds to approximately 12 million service events annually. Headquartered in Medford, MA, and part of The Cross Country Group, we operate across North America. To learn more, visit https://www.agero.com/.Note: For our technical roles, we prefer to start in person! You may need to travel to Medford for onboarding, but we will manage all travel arrangements and expenses for you.Role Description and Mission:The Engineering Manager for Data Science and Machine Learning is a pivotal leadership position responsible for overseeing a talented team of Data Scientists, ML Engineers, and Software Engineers dedicated to architecting, building, and operating our next-generation Dispatch Optimization platform. This role requires extensive expertise in Data Science, Machine Learning, Operations Research, and scalable cloud-native service development.You will champion scientific rigor and engineering excellence to convert model outputs into real-time, impactful dispatch decisions that enhance cost efficiency and service quality.

Welcome to Kaizen GamingAt Kaizen Gaming, the driving force behind Betano, we are proud to be one of the largest GameTech companies in the world, serving 19 diverse markets. Our mission is to harness the latest technology to deliver unparalleled experiences to millions of customers who rely on us for their entertainment.We boast a vibrant team of over 2,700 Kaizeners from more than 40 nationalities across three continents.Recognized as one of the Best Workplaces in Europe and certified as a Great Place to Work in our offices, we promise you that no two days will be the same. Are you ready to Press Play on Your Potential?The Role OverviewAs our Lead Principal Data Scientist, you will be pivotal in harnessing data and AI to generate value and secure a competitive edge for our organization. We are seeking a seasoned Data Scientist or AI Engineer with a proven history of architecting and executing innovative, data-centric, AI-driven applications and their associated machine learning/deep learning algorithms.

About HoneHone is a pioneering online medical clinic dedicated to revolutionizing healthcare and enhancing longevity. We leverage state-of-the-art scientific advancements to empower individuals to take charge of their health and realize their fullest potential. Our team is the core of our mission and plays a critical role in driving our success. We approach every initiative grounded in our brand values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeSince our inception, Hone has embraced a fully virtual model and will continue to prioritize remote work.Our Ideal CandidateThe ideal candidate is a mission-driven, dynamic individual who thrives in fulfilling and impactful work. They are adaptive to change and tackle challenges with enthusiasm. With a commitment to excellence, they understand the fast-paced, high-growth nature of our organization and can manage both independent and collaborative tasks effectively. They lead with transparency and humility, driving initiatives forward while remaining open to continuous learning. They are passionate about contributing to a team focused on helping people live longer, healthier lives.The RoleHone is seeking a Senior Data Scientist, Marketing to enhance our expanding data team. Reporting to the Sr. Director of Data, Analytics, and Machine Learning, you will collaborate closely with Marketing, Growth, and Product teams to boost customer acquisition, conversion, and retention through insightful data analysis and modeling.Your primary focus will be on developing and applying statistical models, conducting experiments, and performing analyses that inform marketing strategy, optimize funnel performance, and enhance customer lifetime value. This senior individual contributor role offers significant ownership over execution and delivery, ideal for someone who excels at transforming business inquiries into machine learning solutions while producing high-quality work independently and fostering cross-functional collaboration for measurable outcomes.Primary ResponsibilitiesYour key responsibilities will include (but are not limited to):Collaborate with Marketing teams to analyze and enhance the entire customer funnel, encompassing acquisition, conversion, retention, and churn.Develop and maintain robust statistical models and...

Position: Senior Data ScientistLocation: Remote (Eligible candidates from Egypt, Uzbekistan, and Pakistan)Work Schedule: Sunday – ThursdayWorking Hours: 9:00 AM – 6:00 PM (Saudi Arabian Time Zone)Job Overview:Join our dynamic team as a Senior Data Scientist who will spearhead the creation and implementation of sophisticated machine learning models to drive essential business insights. This pivotal role entails comprehensive ownership of machine learning solutions—from conception and enhancement to execution and oversight within live production settings. You will significantly contribute to formulating our data science vision, mentoring less experienced team members, and ensuring that analytical findings yield tangible business results. Your expertise will be crucial in steering product innovation and fostering growth.

About Us: Blue Rose Research is dedicated to creating innovative data and AI tools that empower Democrats to secure electoral victories. Our multidisciplinary team merges engineering, data science, and strategic political insight to fuel decision-making for leading campaigns and progressive organizations. We analyze electoral trends, test advertising strategies, and leverage generative AI to enable campaigns to respond effectively to current events with impactful messaging. Our guidance has influenced the allocation of hundreds of millions in campaign spending. As a compact, mission-driven team, we prioritize rapid development, bold experimentation, and assist progressives in communicating effectively and achieving success, all while driven by a sense of curiosity and a commitment to utilizing technology for positive change. Machine Learning Lead (LLM & Applied AI) We are seeking a Machine Learning Lead to oversee a team of skilled data scientists developing ML-driven solutions that inform strategies for civic leaders and organizations. Reporting directly to the Director of Engineering, you will take charge of the team’s roadmap and technical vision. This role is hands-on, requiring collaboration with your team to construct infrastructure, train models, and deploy them into production. If you are eager to apply your technical skills in a meaningful context that promotes public welfare, this position offers the opportunity to create a significant impact. Key Responsibilities: Lead a team of senior data scientists dedicated to optimizing large language models, conducting innovative R&D, and developing production inference systems. Work in partnership with senior leadership to establish the team’s roadmap and align priorities with organizational objectives. Facilitate weekly meetings and stand-ups to ensure team progress and remove any obstacles to execution. Provide technical guidance across projects utilizing open-weight and proprietary LLMs along with other advanced ML methodologies. Oversee testing, optimization, and data integrity to guarantee the accuracy, reliability, and readiness of models for production. Encourage creative problem-solving and methodological rigor when custom solutions are necessary beyond standard ML techniques. Convert complex model outputs into actionable insights for stakeholders, ensuring that our technical efforts yield real-world benefits. About You: 1+ years of experience leading data science teams; 6+ years in machine learning or data engineering. Strong foundation in applied statistics, model selection, tuning, and performance evaluation. Proficient in Python, SQL, and contemporary ML frameworks.

Join our innovative team as a Research Scientist specializing in Engineering, where your expertise in machine learning and generative media will drive the development of cutting-edge products. You will leverage your extensive knowledge of the latest advancements in the field to identify gaps in the market and create solutions that address real customer challenges. This role may involve pioneering new training methods or architectures, as well as fine-tuning existing models with unique datasets. Your ability to assess the return on investment for various approaches will be crucial, as we prioritize research that leads to tangible product development.

About the RoleWe are seeking a passionate Machine Learning Engineer to spearhead the enhancement of model inference performance at scale. In this role, you will bridge the gap between theoretical research and practical application by transforming cutting-edge models into efficient, scalable, and user-centric systems.This position is perfect for individuals who thrive in a technically challenging environment, enjoy in-depth system profiling down to the kernel and GPU levels, and excel at converting innovative research ideas into production-ready performance improvements.What You’ll DoEnhance inference latency, throughput, and cost-efficiency for large-scale ML models deployed in productionAnalyze and troubleshoot GPU/CPU inference pipelines focusing on memory, kernels, batching, and I/O performanceImplement and optimize techniques including:Quantization strategies (fp16, bf16, int8, fp8)KV-cache optimization and reuseSpeculative decoding, batching, and streamingModel pruning and architectural simplifications for optimized inferenceCollaborate closely with research engineers to transition novel model architectures to productionConstruct and uphold inference-serving systems using frameworks such as Triton, custom runtimes, or bespoke stacksBenchmark performance across various hardware setups (NVIDIA / AMD GPUs, CPUs) and cloud configurationsEnhance the reliability, observability, and cost efficiency of systems under real workload conditionsWhat We’re Looking ForSignificant experience in ML inference optimization or high-performance machine learning systemsStrong grasp of deep learning fundamentals (attention mechanisms, memory architecture, compute graphs)Practical experience with PyTorch (or similar frameworks) and model deployment techniquesFamiliarity with GPU performance enhancements (CUDA, ROCm, Triton, or kernel-level optimizations)Proven capability in scaling inference systems for real-world users beyond research benchmarksAdaptability to work in a fast-paced startup atmosphere, embracing ownership and navigating ambiguityPreferred QualificationsExperience with LLM or long-context model inferenceKnowledge of various inference frameworks (TensorRT, ONNX Runtime, vLLM, Triton)

About the PositionWe are on the lookout for a Machine Learning Engineer specialized in model distillation to assist us in developing compact, rapid, and efficient models while maintaining high-quality standards. This role will involve blending research with practical applications—transforming state-of-the-art methodologies into scalable systems.This is a proactive role offering significant ownership: you will design distillation pipelines, conduct extensive experiments, and deliver models utilized in production environments.Your ResponsibilitiesDesign and implement knowledge distillation pipelines (including teacher-student, self-distillation, multi-teacher approaches, and more).Convert large foundational models into more compact, efficient, and cost-effective models for inference.Execute and scrutinize large-scale training experiments to assess quality, latency, and cost trade-offs.Work closely with research teams to adapt innovative distillation concepts into production-ready code.Enhance training and inference efficiency (memory usage, throughput, and latency).Contribute to the development of internal tools, evaluation frameworks, and experiment tracking systems.(Optional) Engage in contributing to open-source models, tools, or research.Ideal Candidate ProfileRobust background in machine learning and deep learning.Hands-on experience with model distillation techniques (including LLMs or other neural networks).Strong grasp of training dynamics, loss functions, and optimization strategies.Proficiency in PyTorch (or JAX) along with contemporary ML tools.Comfortable conducting experiments across multi-GPU or distributed configurations.Ability to critically evaluate model quality versus performance trade-offs.Pragmatic outlook: you prioritize deployment over merely publishing research.Preferred QualificationsExperience in distilling large language models or sizable sequence models.Familiarity with inference optimization techniques (like quantization, pruning, kernels, etc.).Experience in evaluating language models.Contributions to open-source projects or research publications.Experience in early-stage product development.

About Agero:At Agero, we are at the forefront of transforming the vehicle ownership experience. Our mission is to innovate and enhance this experience through a unique blend of passionate individuals and data-driven technology, which strengthens the bonds between our clients and their customers. As the leading B2B, white-label provider of digital driver assistance services, we are redefining the industry by turning manual processes into digital, transparent, and connected solutions. Our offerings include an industry-leading dispatch management platform powered by Swoop, comprehensive accident management services, expert consumer affairs, and connected vehicle capabilities, along with a growing marketplace of services, discounts, and support powered by a strong partner ecosystem. We are proud to cover over 150 million vehicles in collaboration with major automobile manufacturers, insurance carriers, and more. Managing one of the largest national networks of service providers, Agero handles approximately 12 million service events annually. Headquartered in Medford, Mass., with operations across North America, we are a proud member of The Cross Country Group. To learn more, visit https://www.agero.com/.Note: For our technical roles, we encourage an in-person start! You may need to travel to Medford for your initial onboarding. Don't worry about the logistics; once you’re hired, we take care of all travel arrangements and expenses.Role Description and Mission:As the Engineering Manager for Data Science and Machine Learning, you will play a pivotal leadership role overseeing a talented team of Data Scientists, ML Engineers, and Software Engineers. Your focus will be on architecting, building, and operating our next-generation Dispatch Optimization platform. This position requires profound expertise in Data Science, Machine Learning, constrained Optimization (Operations Research), and the development of scalable cloud-native services.You will lead scientific rigor and engineering excellence to convert model outputs into real-time, high-impact dispatch decisions that optimize cost efficiency and enhance service levels.

Join Prolific as a Machine Learning Specialist focused on AI Training! We are seeking a talented individual to contribute to the development and implementation of AI models. This is a fully remote position offering the opportunity to work with cutting-edge technology in a dynamic environment.As a key member of our team, you will analyze data, improve algorithms, and ensure the high performance of machine learning systems. Your expertise will help us drive innovation and optimize processes.

Join Binance, a pioneering force in the global blockchain ecosystem, as an LLM Data Scientist and Algorithm Engineer. In this dynamic role, you will leverage innovative artificial intelligence solutions to develop and refine Large Language Models (LLMs). Your expertise will drive actionable insights, enhance business decision-making processes, and optimize prompt design for superior output accuracy. Additionally, you will create scalable and robust LLM/RAG frameworks tailored for customer service scheduling, fostering innovation and ensuring our competitive edge in the market. Embrace the opportunity to work 100% remotely, contributing to a mission focused on enhancing financial access worldwide.

Poolside is committed to building Artificial General Intelligence within this decade. The company emphasizes rapid innovation, applied research, and large-scale deployment. By increasing the scale and capability of its models, Poolside aims to create economic value while focusing on user and customer success. The broader vision is to make AI central to meaningful work and scientific progress. The team works remotely across Europe and North America, meeting in person for three days each month and gathering for longer offsites twice a year. Researchers and engineers collaborate closely, sharing responsibility for building high-quality systems. Strong engineering practices support fast development and amplify results. Role overview The Reinforcement Learning Engineer role focuses on advancing the reasoning and coding abilities of Large Language Models using reinforcement learning. This position combines research and hands-on engineering: designing new training algorithms, developing and scaling RL environments, and implementing solutions throughout Poolside’s technology stack. Substantial GPU resources are available to support these projects. Mission Expand the reasoning and coding capabilities of foundational models through reinforcement learning. Key responsibilities Design and run experiments to improve reasoning and code generation in large language models. Oversee projects from initial idea through to integration. Stay current with the latest research in the field and contribute to ongoing research efforts. This is a remote position open to candidates based in EMEA or on the East Coast of North America. View GDPR Policy

Join Prolific as an AI Training - Machine Learning Specialist! This is a unique opportunity to work in a fully remote environment where you will contribute to the development and enhancement of machine learning models. You will collaborate closely with data scientists and engineers to ensure the quality and efficiency of AI training processes.As a key member of our team, your responsibilities will include optimizing training datasets, experimenting with various algorithms, and fine-tuning models to achieve high-performance outcomes. Your insights and expertise will help shape the future of AI at Prolific.

Poolside is dedicated to advancing Artificial General Intelligence (AGI), with a focus on innovation and engineering that drives economic and scientific progress. The company brings together experts in research and software development, all working toward high-quality systems. As a remote-first team, Poolside’s staff are based across Europe and North America. Team members meet in person for three days each month, with longer offsite sessions twice a year. This structure supports collaboration among people with both research and engineering backgrounds. Role overview The Reinforcement Learning Infrastructure Engineer joins the reinforcement learning team to improve reasoning and coding capabilities in Large Language Models (LLMs). The role covers the full process: researching new algorithms, designing and scaling RL environments, and implementing solutions across the stack. Work is supported by access to thousands of GPUs. Core mission Build and scale infrastructure for reliable, efficient LLM training using advanced reinforcement learning methods. Key responsibilities Stay current on research and developments in LLMs, reinforcement learning, and code generation. Develop strategies for fine-tuning training and inference, ensuring integration throughout the development process. View GDPR Policy

*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="788a8b78-cfcd-42e1-beb1-30da5949a95d" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant">Join us at Prolific as a Machine Learning Specialist focused on AI Training! In this fully remote role, you'll leverage your expertise in machine learning to develop and enhance AI models, contributing to innovative projects that impact our clients globally. Collaborate with a talented team, participate in cutting-edge research, and help us drive the future of AI technology.

Join Binance, the premier global blockchain ecosystem and cryptocurrency infrastructure leader. Our comprehensive suite of financial offerings includes the world’s largest digital asset exchange.We are driven by our mission to expedite cryptocurrency adoption and enhance financial freedom for everyone.If you thrive in a dynamic, purpose-driven environment that offers limitless opportunities for growth and innovation, Binance is your ideal destination.

RevenueCat is revolutionizing the process of building and scaling in-app subscriptions, making it seamless for developers. Since our emergence from Y Combinator's S18 batch, we have established ourselves as the leading monetization platform for mobile applications. Our platform supports over 40% of newly launched subscription apps, processes an impressive annual purchase volume exceeding $10 billion, and empowers developers—from individual creators in Brazil to the OpenAI mobile team—to optimize and enhance their revenue streams.As a fully remote team of over 120 members spread across 25 countries, we are committed to our core values: Customer Obsession, Always Be Shipping, Own It, and Balance. If you are eager for your contributions to impact hundreds of millions of end-users and assist the developers who create for them, you will find a perfect fit with us.The RoleWe are in search of a proactive and product-focused Senior Data Scientist. This role is ideal for someone who does not wait for questions to be perfectly defined and who thrives in a collaborative environment. Your insights will help us understand customer challenges, identify new opportunities, and drive innovative ideas forward.You will collaborate closely with Product, Engineering, and Analytics teams to influence our development, rationale behind our projects, and our success metrics. Your contributions will directly enhance customer-facing features such as LTV prediction, experimentation and statistical significance testing, benchmarking, and the development of new data-driven products.Expect to bring forth ideas supported by robust analysis and clear hypotheses, steering product direction with your data expertise.Our data infrastructure encompasses a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS.What You Will DoActively analyze RevenueCat’s data to uncover customer issues, opportunities, and potential product innovations.Translate vague product and business inquiries into precise analyses, models, and actionable recommendations.Collaborate with Product Managers to define and influence roadmaps, rather than merely executing them.Design, develop, and deploy production-quality predictive and descriptive models that enhance customer-facing functionalities.Establish and assess statistical strategies for experimentation, benchmarking, and forecasting.Effectively communicate insights to both technical and non-technical stakeholders, focusing on customer impact.Continuously refine deployed models and features based on user feedback and real-world performance.This position entails substantial ownership. Your role will not just be about supporting decisions; you will actively shape the direction of our initiatives.