Lead Machine Learning Engineer (LLM)

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 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 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'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.

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 deep understanding of AI and machine learning principles to create innovative solutions. Your expertise in Python and familiarity with tools such as Hugging Face, Langchain, and OpenAI API will be essential in driving project success.Key Responsibilities:Develop prototypes, PoCs, and MVPs using advanced AI/ML methodologies.Utilize deep learning frameworks including TensorFlow, Keras, and PyTorch to implement solutions.Engage with cloud platforms such as Google Model Garden, Amazon Bedrock, and Nvidia Nim to enhance project outcomes.Work collaboratively in a fast-paced environment, bringing innovative solutions to complex problems.Ideal Candidate:The successful candidate will possess a strong foundation in AI and machine learning, coupled with a passion for problem-solving and a collaborative mindset.

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.

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

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.

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.

*]: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.

OUR HIRING PROCESS:We carefully evaluate your application based on our specific job requirements, ensuring personal attention without the use of machine learning technologies. Our seasoned recruiting professionals recognize the individuality of each applicant, promising a thorough and fair assessment.Following this, you may be invited to submit a video interview for review by the hiring manager, often accompanied by a relevant test or project to assess your fit within the team.Next, we will invite you for a personal interview with our hiring manager and/or the interview team. Please be aware that we do not conduct interviews via text messaging platforms and ensure that every candidate meets us face-to-face or via Zoom for a comprehensive discussion.Finally, if both parties are enthusiastic about moving forward, we will discuss your offer, providing an opportunity for a live conversation before extending any formal offer. INFUSE Academy is dedicated to delivering impactful online education, creating innovative e-learning experiences that drive significant business outcomes. We invite you to watch this video to learn more.Our focus goes beyond mere compliance; we strive to design engaging and practical e-learning programs that empower individuals to grow and thrive.As we expand, we are seeking a strategic and growth-oriented Team Lead, Learning and Development to join our dynamic and collaborative team of dedicated professionals. If you are someone who brings innovative ideas, enjoys experimenting with new methodologies, and thrives in a collaborative environment, we would love to hear from you.

OUR HIRING PROCESS:We carefully evaluate your application against our job criteria, ensuring a personal touch—our experienced recruiters assess every application to appreciate the uniqueness of each candidate.You may be invited to submit a video interview for the hiring manager’s review, typically followed by an assessment or brief project to gauge your fit with the team.Next, we’ll invite you to a live interview with our hiring manager and/or the interview team. Please note: we conduct interviews via video conferencing only, ensuring a face-to-face interaction.Finally, if both parties are excited about the opportunity, we’ll discuss your offer. We believe in open communication and will provide the chance for a live conversation before any offer is made.At INFUSE, we are committed to data privacy and security. For more details, please refer to our Privacy Policy INFUSE Academy is dedicated to providing both internal and external online education, crafting impactful e-learning experiences that drive tangible business success. Watch this video to learn more.We are not merely fulfilling requirements; we are designing innovative, engaging, and effective e-learning programs that enable individuals to develop and succeed.As we continue to grow, we are on the lookout for a strategic and growth-oriented Team Lead, Learning and Development to join our dynamic and collaborative team of dedicated professionals. If you possess bold ideas, enjoy exploring new methods, and thrive in a collaborative environment, we want to hear from you!

OUR HIRING PROCESS:We carefully review every application against our job requirements, ensuring that each candidate receives personalized attention from our experienced recruiting professionals. We value the uniqueness of each applicant and commit to providing a thorough and fair assessment.Selected applicants will have the opportunity to submit a video interview for review by the hiring manager. This may be followed by a practical test or short project to assess fit within our team.Qualified candidates will be invited for a live interview with our hiring manager or interview team. Please note that we do not conduct interviews via text message or third-party apps; all interactions will occur through a live meeting or Zoom.After these steps, if both parties are excited about the potential collaboration, we will discuss your offer during a live conversation. We believe in open communication and will not extend offers without a personal meeting.At INFUSE, we are dedicated to complying with data privacy and security regulations. For further details, please refer to our Privacy Policy.INFUSE Academy is at the forefront of online education, creating impactful e-learning experiences that drive meaningful business outcomes. Discover more by watching this video.We are committed to designing innovative and engaging e-learning programs that empower individuals to develop and succeed.As we continue to grow, we are seeking a strategic and growth-oriented Team Lead, Learning and Development to join our dynamic and passionate team. If you are a creative thinker who enjoys experimenting with new methods and thrives in a collaborative environment, we would love to hear from you.

OUR HIRING PROCESS:Your application will be meticulously reviewed against our job criteria. We prioritize human evaluation over machine learning technologies, as we believe every candidate deserves personalized attention. Our experienced recruiting professionals guarantee a thorough and fair assessment of your application.Should you meet our criteria, we may request a video interview for the hiring manager's review. This step is typically followed by a brief test or project to assess your compatibility with our team.If successful, you will be invited for an interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message or other informal platforms; all interactions will occur through live meetings or Zoom, ensuring a face-to-face connection with our INFUSE team.Upon a positive assessment, we will discuss your offer in a live conversation. We value personal engagement and do not make offers without thorough discussions.INFUSE is dedicated to maintaining compliance with relevant data privacy and security laws. For more information, please refer to our Privacy Policy INFUSE Academy is committed to delivering outstanding online education, crafting impactful e-learning experiences that drive tangible business results. Watch this video for more insights.We are not merely filling positions; we are innovating engaging and practical e-learning programs that empower individuals to succeed.As we expand, we are in search of a dynamic and growth-focused Team Lead, Learning and Development to join our vibrant, collaborative team of dedicated professionals. If you possess bold ideas, enjoy exploring innovative approaches, and thrive in a team-oriented environment, we encourage you to apply.

OUR RECRUITMENT PROCESS:We thoroughly assess your application based on our job criteria. We prioritize personal evaluation over automated systems, as we believe each candidate deserves individual consideration. Our experienced recruiting team will ensure your application receives a fair and in-depth review.If selected, you may be invited to complete a video interview for the hiring manager's consideration. This may be followed by a brief test or project to evaluate your fit within our team.Next, you will have the opportunity to interview with our hiring manager and/or the interview panel. Please note that we do not conduct interviews via text messaging or other instant messaging platforms. All interviews will be conducted face-to-face (or via Zoom), allowing you to connect with our INFUSE team directly.Finally, if you are still enthusiastic about the opportunity and we are equally impressed, we will discuss your potential offer. We believe in transparent communication and do not extend offers without a live discussion with you.INFUSE is dedicated to adhering to all relevant data privacy and security laws. For more details, please refer to our Privacy Policy INFUSE Academy is at the forefront of online education, creating impactful e-learning experiences that drive significant business outcomes. Watch this video to learn more.We are dedicated to more than just meeting objectives – we design innovative and engaging e-learning programs that empower individuals to grow and succeed.As we expand, we seek a strategic and growth-focused Team Lead, Learning and Development to join our dynamic and collaborative team of dedicated professionals. If you are someone who brings bold ideas, enjoys experimenting with new methods, and thrives in a collaborative environment, we want to hear from you!

OUR HIRING PROCESS:We thoroughly review each application against our requirements, ensuring that every applicant receives personal attention from our seasoned recruiting professionals. We believe in the uniqueness of every candidate and promise a fair assessment of your candidacy.After the initial review, we may invite you to complete a video interview for the hiring manager's review. This is often followed by a test or short project to evaluate your fit for the team.Next, you will be invited to a live interview with our hiring manager and/or interview team. Please remember that we do not conduct interviews via text message or platforms like Telegram. We prioritize face-to-face interactions, whether in person or via Zoom, to connect with our INFUSE team.Finally, if all goes well and you are still excited to join INFUSE, we will discuss your offer in a live conversation. We believe in transparency and personal interaction throughout the hiring process. INFUSE Academy is dedicated to driving online education, creating impactful e-learning experiences that yield real business results. Watch this video to learn more.We aim to design innovative, engaging, and practical e-learning programs that empower individuals to grow and succeed.As we expand, we are seeking a strategic and growth-oriented Team Lead, Learning and Development to join our dynamic, close-knit team of passionate professionals. If you are a creative thinker who enjoys experimenting with new ideas and thrives in a collaborative environment, we want to hear from you!

JOIN OUR TEAM:At INFUSE, we value the personal touch in our hiring process. Each application is reviewed by our dedicated professionals, ensuring an attentive and thoughtful evaluation.After an initial review, selected candidates will be invited to participate in a video interview. This may be followed by a practical test or project to assess fit within our team.Next, you'll have the opportunity to interview with our hiring manager or interview team, with a preference for live meetings via Zoom rather than text-based communication.If we both feel excited about moving forward, we'll discuss your offer in a live setting, emphasizing transparency and dialogue throughout the process.As part of our commitment to data privacy and security, we adhere to relevant laws and regulations. For more details, please review our Privacy Policy.At INFUSE Academy, we are dedicated to creating impactful e-learning experiences that drive business success. Watch this video to discover more about what we do.We are looking for a strategic and growth-oriented Team Lead, Learning and Development to join our dynamic team. If you are passionate about designing innovative e-learning programs that empower individuals to thrive, we want to hear from you!