Machine Learning Engineer I

Join Handshake as a Machine Learning Engineer I, where you will have the opportunity to work on cutting-edge machine learning projects that drive our innovative solutions. Collaborate with a talented team to develop algorithms and models that enhance our product offerings and improve user experiences.

Join Bumble Inc. as a Lead Machine Learning Engineer and drive innovation in our cutting-edge technology team. In this pivotal role, you will lead the design and implementation of machine learning algorithms, enhancing user experiences across our platforms. Collaborate with cross-functional teams to translate complex data into actionable insights, while mentoring junior engineers to foster growth and excellence within the team.

Join our dynamic Personalization team at Boomtrain as a Machine Learning Engineer. We are in search of a skilled engineer who will play a pivotal role in developing and enhancing our recommendation systems that cater to a variety of customers.In this role, you will collaborate with a talented team dedicated to designing and implementing innovative models and systems that deliver personalized recommendations. You will have the opportunity to work on complex engineering challenges and contribute to generating hundreds of millions of recommendations daily.This position offers a unique chance to engage in end-to-end project work and make a significant impact on our personalization initiatives.Key Responsibilities:Research and propose advanced recommendation and optimization models to enhance our personalization systems.Develop and maintain offline model generation pipelines.Design and maintain online recommendation serving systems.

OverviewPulse is revolutionizing data infrastructure by addressing the critical challenge of extracting accurate, structured information from complex documents on a large scale. Our innovative approach to document understanding integrates intelligent schema mapping with advanced extraction models, outperforming traditional OCR and parsing methods.As a dynamic and rapidly growing team of engineers based in San Francisco, we empower Fortune 100 companies, Y Combinator startups, public investment firms, and growth-oriented businesses. With the backing of top-tier investors, we are on an exciting growth trajectory.What sets our technology apart is our cutting-edge multi-stage architecture:Layout comprehension with specialized component detection modelsLow-latency OCR models designed for targeted data extractionAdvanced algorithms for determining reading order in complex formatsProprietary table structure recognition and parsing capabilitiesFine-tuned vision-language models for interpreting charts, tables, and figuresIf you are passionate about the convergence of computer vision, natural language processing, and data infrastructure, your contributions at Pulse will directly influence our customers and shape the future of document intelligence.

Join k1x as a Machine Learning Engineer and play a pivotal role in shaping the future of artificial intelligence solutions. As part of our innovative team, you will work on exciting projects, leveraging cutting-edge technologies to develop and implement algorithms that enhance our product offerings. This is a fantastic opportunity for individuals passionate about machine learning to make a significant impact in a dynamic environment.

Join Handshake as an Associate Machine Learning Engineer and embark on an exciting journey in the world of artificial intelligence and machine learning. In this role, you will collaborate with a talented team to develop innovative solutions that leverage cutting-edge technologies. You'll have the opportunity to contribute to real-world projects, enhancing your skills while driving impactful results.

Join Hadrian - Shaping the Future of ManufacturingAt Hadrian, we are revolutionizing the manufacturing landscape by creating autonomous factories that empower aerospace and defense industries to produce rockets, satellites, jets, and ships up to 10 times faster and at half the cost. Our innovative integration of advanced software, robotics, and comprehensive manufacturing capabilities is transforming how vital components are made in America.Having successfully raised $260 million in our Series C funding, we're excited to announce the launch of our new 270,000 square foot factory in Mesa, Arizona, which will generate 350 immediate job opportunities. This expansion includes the establishment of our new headquarters to facilitate thousands of future hires, the launch of Hadrian Maritime for naval production, and the introduction of a Factory-as-a-Service model that provides complete systems rather than just individual components.Collaborating with startups, Tier 1 and Tier 2 suppliers, and major defense contractors, Hadrian is committed to scaling production, minimizing costs, and accelerating the delivery of mission-critical projects across the realms of space, shipbuilding, and aviation. Backed by prestigious investors such as Lux Capital, Founders Fund, and Andreessen Horowitz, our rapidly growing team shares a unified vision to reindustrialize American manufacturing for the 21st century and beyond!Your Role:As a Senior Machine Learning Engineer at Hadrian, you will be instrumental in developing advanced software systems that automate Design for Manufacturing (DFM) analysis, enhancing the efficiency of precision manufacturing. Our proprietary DFM platform evaluates design prints and CAD models to make informed, data-driven decisions about the manufacturability of parts.You will collaborate closely with top-tier operators to pinpoint significant opportunities where software, computer vision, and machine learning can substantially enhance or automate complex engineering tasks. Your expertise will be crucial in the design, development, and scaling of these systems from inception to implementation.Key Responsibilities:Research, develop, and implement state-of-the-art deep learning models, including OCR, vision-language processing, and detection models for document comprehension and layout analysis.Collaborate closely with engineering teams and end users to refine and enhance existing models.Engage in all aspects of the Machine Learning lifecycle, from building and optimizing production data pipelines to developing software systems for training, inference, labeling, and evaluation.Perform rigorous testing and validation of models to ensure optimal performance and reliability.

Join our innovative team at Chabeztech as a Machine Learning Engineer, where you will leverage cutting-edge technologies to develop intelligent systems and applications. You will be responsible for designing algorithms and models that improve the efficiency of our products and services. Collaborate with data scientists and software engineers to transform data into actionable insights and drive our machine learning initiatives forward.

About WizardWizard is the leading AI Shopping Agent, providing precise and reliable product recommendations from various online sources. Our commitment to quality and trust sets us apart in the industry.The RoleWe are seeking a talented Machine Learning Engineer to create and develop feedback-driven learning systems that enhance our AI agent's capabilities over time. This position transcends traditional reinforcement learning research as we focus on systems that learn from actual user interactions to improve our services. You will work at the crossroads of a live conversational agent and genuine shopping behaviors, where the richness of feedback signals is significantly more substantial than in conventional search.Your responsibilities will include transforming user interactions into actionable learning signals, designing efficient feedback loops, and implementing systems that consistently enhance real-world results.What You’ll DoDevelop and implement feedback loops that enhance agent performance over time.Establish evaluation infrastructure, including offline metrics, regression suites, and experimental analysis.Manage signal pipelines end-to-end: instrument events, create clean labeled datasets, and convert user behaviors into dependable learning signals.Design and implement lightweight reinforcement learning or bandit-style approaches when suitable.Collaborate closely with product and engineering teams to define success metrics and optimize performance.Design and conduct experiments to confirm that changes to learning systems lead to improved outcomes.Enhance ranking, recommendations, and decision-making within the agent.Iterate swiftly: Ship → measure → learn → improve.What Success Looks LikeYou deliver quickly and drive measurable enhancements in core product metrics.You convert complex user behaviors into dependable learning signals that progressively enhance the agent.You possess end-to-end ownership of systems and operate confidently in a production environment.Ideal Background5-8 years of hands-on experience in developing and deploying machine learning systems.Bachelor’s or Master’s degree in Computer Science or related field.Proven experience in deploying machine learning systems and working on recommendation systems, ranking, personalization, or optimization challenges.Strong proficiency in Python and machine learning tools.Pragmatic approach: you prefer straightforward, effective solutions over theoretically perfect ones.

Who is Nexxen?Nexxen is revolutionizing the advertising landscape with a data-driven approach that empowers advertisers, agencies, publishers, and broadcasters globally. Our innovative technology framework unifies a demand-side platform (DSP) and supply-side platform (SSP), anchored by the Nexxen Data Platform, to deliver meaningful advertising solutions.Why become a part of the Nexxen team?Join us in our mission to transform advertising through our flexible and creative solutions. At Nexxen, we value a culture that emphasizes the 3Cs - Customer Centricity, a Curious Mindset, and Collaboration without Ego. Become part of a dynamic team that thrives on commitment and ingenuity.Your Safety is Our PriorityAt Nexxen, we prioritize the safety and well-being of our employees. We are vigilant against online scams and fraudulent job postings. Please note that we will never ask for payment as a condition of employment or promote dubious financial schemes. If you encounter any suspicious communications, contact us at infosec@nexxen.com. Your trust is paramount; stay safe and informed.Position OverviewAs a Senior Machine Learning Engineer, you will join our Applied Data Science group within the Nexxen DSP Software Development team. This hands-on role involves collaborating closely with data scientists to develop cutting-edge data science infrastructure aimed at real-time performance optimization and machine learning applications. The ideal candidate will possess extensive experience in implementing machine learning technologies or data-driven algorithms, and should display a proactive and innovative mindset.We operate in a hybrid model, with team members working three days a week at our New York office and remotely for the remainder of the week.Key Responsibilities:Design and develop high-performance, large-scale services for Nexxen DSP programmatic integrations and platform products.Drive innovative solutions and implement machine learning algorithms for enhanced performance.

With over five decades of experience, ENSCO, Inc. is at the forefront of delivering innovative engineering, scientific, and technological solutions to both governmental and private sectors globally.We take pride in our commitment to developing and implementing cutting-edge technologies that ensure mission success. Our services encompass systems engineering, integration, and advanced technology, aimed at enhancing the safety, security, and resilience of critical operations across land, air, space, and interconnected information systems.Discover more about ENSCO.Position OverviewENSCO, Inc. is on the lookout for a Senior Machine Learning Engineer who possesses hands-on experience in Machine Learning (ML) and Deep Learning (DL) frameworks, models, architectures, and advanced data analytics to tackle complex challenges. This role involves collaborating closely with senior scientists to comprehend intricate problem sets and physical data characteristics. The ideal candidate will demonstrate a solid understanding of signal processing, data fusion, and feature extraction, applying these skills to develop ML and DL solutions. You will be responsible for evaluating the performance of algorithms by creating datasets and executing methodically controlled experiments.The Mission Systems Group (MSG) at ENSCO focuses on delivering innovative and customized products and services crucial for national safety and security. A key area of concentration is the advancement of algorithms for integrating multi-faceted datasets.

Charter:Join us as a pivotal member of a groundbreaking team dedicated to revolutionizing the field of toxicology by developing advanced AI systems that will replace traditional lab and animal experiments.What We Seek:We are on the lookout for exceptional individuals who can inspire those around them and drive the team towards greatness. Our ideal candidate is someone with high agency—able to identify priorities and take action. We value unique passions and hobbies that may seem niche but reveal a deep commitment and curiosity when explored. Candidates should approach challenges with both intentionality and a sense of wonder, embodying the spirit of exploration akin to an immigrant in a new land or a self-taught coder. A strong desire to learn and grow, coupled with technical excellence and a commitment to mastering one’s craft, is essential. We want those who are willing to tackle daunting challenges and derive satisfaction from the journey as much as the outcome.Your Responsibilities:Establish the foundational end-to-end ML/AI system, including wetlab data generation, data cleaning/processing, model architecture, training, inference, and deployment strategies.Lead innovative research and development initiatives focused on elucidating the interplay between chemistry and biology.Design and scale large models that are pretrained on paired chemistry and biological imagery.Conduct applied research aimed at optimizing, aggregating, and pooling embeddings.Become a thought leader in emerging and underexplored domains, such as molecular graph representations and generative diffusion for biological applications.Develop entrepreneurial skills alongside engineering expertise by creating impactful solutions that deliver substantial value for scientists.Deliver outstanding technology and products that redefine industry standards.Preferred Attributes:...

Join Our Innovative Team at Twilio!At Twilio, we are revolutionizing the communication landscape, empowering businesses worldwide from the comfort of our homes. Our innovative solutions serve hundreds of thousands of businesses, enabling developers globally to create tailored customer experiences.We embrace a remote-first work culture that fosters connection and inclusivity, allowing you to collaborate with a diverse team that makes a global impact every single day. As we continue to transform communication, we are also acquiring new skills and experiences that make your work feel fulfilling. At Twilio, your career journey is in your hands.We leverage Artificial Intelligence (AI) to streamline our hiring process, ensuring efficiency, fairness, and transparency, while maintaining a human touch in every hiring decision.Explore Your Future at TwilioWe invite you to become our next Senior Machine Learning Engineer.About the RoleAs part of Twilio’s dynamic AI & Data Platform team, you will be responsible for designing, building, and managing our cloud-native data and ML infrastructure. Your contributions will enhance every customer interaction, enabling our product teams and clients to transform raw events into actionable, real-time insights. This hands-on role emphasizes technical ownership, mentorship, and career growth within a company that is at the forefront of AI-driven communications.

About the Institute of Foundation ModelsWe are a pioneering research laboratory focused on the development, understanding, application, and risk management of foundational models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and make substantial contributions to a knowledge-driven economy.Join us and collaborate with top-tier researchers, data scientists, and engineers on the forefront of foundational model training. Engage in solving critical challenges that can redefine entire sectors through advanced AI solutions. Your strategic and innovative problem-solving skills will play a vital role in positioning MBZUAI as an international leader in high-performance computing for deep learning, facilitating discoveries that will inspire future AI trailblazers.The Role We are seeking a skilled distributed ML infrastructure engineer to enhance and expand our training systems. You will collaborate closely with distinguished researchers and engineers to:• Develop and scale distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod)• Implement distributed optimizers based on mathematical specifications• Create robust configuration and launching systems across multi-node, multi-GPU clusters• Manage experiment tracking, metrics logging, and job monitoring for enhanced external visibility• Enhance the reliability, maintainability, and performance of training systems• While much of your work will support large-scale pre-training, prior pre-training experience is not mandatory; strong infrastructure and systems expertise are our primary focus.Key Responsibilities • Distributed Framework Ownership – Extend or adapt training frameworks (e.g., DeepSpeed, FSDP) to accommodate new applications and architectures.• Optimizer Implementation – Convert mathematical optimizer specifications into distributed implementations.• Launch Config & Debugging – Develop and troubleshoot multi-node launch scripts with adaptable batch sizes and parallelism strategies.

Join Hive as a Senior Machine Learning Engineer and be part of a pioneering team that is shaping the future of AI. We are seeking innovative developers who are passionate about deep learning and eager to design and deploy cutting-edge neural network models. In this role, you will work with large-scale datasets and contribute to the development of scalable, maintainable data pipelines. Your expertise will help us enhance our AI solutions, enabling transformative applications across various industries.

Join Our Team as a Senior Machine Learning Engineer!thatgamecompany is looking for a passionate and self-motivated Senior Machine Learning Engineer to work remotely within the US or Canada. In this pivotal role, you will take charge of developing our core machine learning models and the essential data and training pipelines that support them. We value individuals who are self-starters and bring a proactive approach to problem-solving, while also being collaborative team players. You will have the autonomy to manage projects from start to finish and possess the ability to articulate complex technical information to both technical and non-technical stakeholders.Your Responsibilities Will Include:Demonstrating a deep passion for video games and representing our players' interests.Exhibiting curiosity, problem-solving skills, and the ability to identify and pursue business needs proactively.Navigating ambiguity to iteratively refine the problem space.Owning your area of expertise throughout the project lifecycle from inception to delivery.Qualifications:A minimum of 5 years' experience in Machine Learning, Data Engineering, or a related quantitative field, with a proven history of delivering end-to-end ML products.In-depth knowledge of statistical modeling and ML techniques, including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the aptitude to choose the appropriate tools for the task.Strong background in experimental design, hypothesis testing, and model performance evaluation.Experience in building and deploying scalable ML solutions in production, preferably using Kubernetes and GCP.Proficiency in Python, Java, or Scala, focusing on writing clean, maintainable, and production-ready code, along with the ability to create optimized SQL for complex datasets.Mastery of SQL and familiarity with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet).Exceptional skills in translating complex technical concepts into understandable terms for varied audiences.

About Judi HealthJudi Health is a pioneering enterprise health technology company that offers a comprehensive array of solutions for employers and health plans. Our services include:Capital Rx, a public benefit corporation that provides full-service pharmacy benefit management (PBM) solutions tailored for self-insured employers.Judi Health™, delivering complete health benefit management solutions to employers, third-party administrators (TPAs), and health plans.Judi®, the leading proprietary Enterprise Health Platform (EHP) that streamlines all claim administration-related workflows into a single scalable and secure platform.We are committed to rebuilding trust in healthcare across the U.S. and establishing the infrastructure necessary for the quality care that everyone deserves. To learn more about our mission and offerings, please visit www.judi.health.Position Summary:We invite you to join our mission to integrate state-of-the-art AI, Machine Learning (ML), and Generative AI (GenAI) technologies into pharmacy benefits as a Machine Learning Engineer. We seek a skilled software engineer with robust machine learning expertise to help expand our AI capabilities, enhancing productivity and creating remarkable experiences in our products and services.In this role, you will design and implement intricate AI systems that utilize ML models for Natural Language Processing (NLP), Natural Language Generation (NLG), multimodal data analysis, chatbots, and Retrieval-Augmented Generation (RAG)-based Question and Answer (QnA) processes. The ideal candidate will be passionate about leveraging AI/ML concepts to tackle complex challenges and develop scalable solutions. We value team players who enjoy collaborating to create practical, efficient, and high-performance software that harnesses Large Language Models (LLM), Multimodal Language Models (MLM), and other ML techniques to deliver outstanding capabilities for our customers and partners.

Position: Machine Learning EngineerAbout Us:At UnitX, we are pioneering the development of cutting-edge physical AI systems designed to automate repetitive visual tasks within manufacturing environments. Our dynamic startup thrives on a diverse team of experts from renowned institutions such as Stanford, MIT, and Google. To date, we have successfully implemented over 1,000 mission-critical AI systems across more than 190 of the world's top manufacturing production lines. Annually, our AI inspection systems oversee the quality of products valued at $15 billion.Join us for a unique opportunity to contribute to groundbreaking computer vision technologies that are transforming global manufacturing efficiency.Your Responsibilities:Design and implement innovative algorithms to analyze raw sensor data for defect detection, focusing on pixel-level precision in high-resolution image and 3D data segmentation.Develop robust software solutions that operate continuously on production lines, executing our algorithms in real-time with decision-making latency under 20ms.Create metrics and tools for comprehensive model performance evaluation, enhancing system visibility and interpretability.Research and explore novel methodologies, pushing the boundaries of AI technology, including Stable Diffusion and SAM, to deliver critical applications in manufacturing.Who You Are:Bachelor's degree in Computer Science, Mathematics, Physics, or a related technical discipline, or equivalent experience showcasing solid mathematical foundations.A minimum of 2 years of experience developing machine learning models focused on computer vision applications in production settings.Deep understanding of Deep Learning theories and practical applications, with proficiency in frameworks such as PyTorch or TensorFlow. Strong Python programming skills for creating efficient, maintainable solutions within extensive codebases.Excellent communication and decision-making abilities, able to articulate experimental rationale and judiciously navigate between exploration and exploitation strategies.Demonstrated resilience and adaptability in complex, uncertain environments.Preferred Qualifications:Experience with large-scale data processing and algorithm optimization.Familiarity with tools for machine learning and data visualization.

Embrace the Future of Commerce with Whatnot!Whatnot is revolutionizing live shopping across North America and Europe, offering a vibrant platform to buy, sell, and explore your favorite items. We are redefining e-commerce by seamlessly blending community, shopping, and entertainment into a unique marketplace tailored for you. As a part of a remote co-located team, our innovation-driven culture is firmly rooted in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collectively shaping the future of online marketplaces.From fashion and beauty to electronics and collectibles like trading cards, comic books, and live plants, our live auctions cater to diverse interests.And this is just the beginning! As one of the fastest-growing marketplaces, we seek innovative, forward-thinking problem solvers across all areas. Follow our latest updates on our news and engineering blogs and be part of our mission to empower individuals to turn their passions into thriving businesses, while fostering connections through commerce. Role OverviewThe Fraud Experience team is dedicated to building intelligent, real-time systems that protect Whatnot’s marketplace from fraudulent activities. We focus on designing, developing, and deploying end-to-end, machine-learning driven systems that proactively identify and combat fraud, ensuring a transparent, user-centered enforcement approach.Your ResponsibilitiesArchitect and lead the development of comprehensive fraud detection, prevention, and intervention systems, integrating machine learning, backend, and client-side components.Construct intelligent user graphs to analyze behavioral patterns, identify collusion networks, and reveal account connectivity at scale.Design, train, and implement both traditional ML and LLM-powered models to detect fraudulent behavior across user interactions, payments, and marketplace activities.Create scalable data pipelines and real-time inference systems able to handle high-volume, low-latency machine learning tasks.Develop human-in-the-loop systems that continually enhance detection accuracy and adapt to evolving adversarial strategies.Conduct in-depth behavioral and adversarial data analysis to identify emerging fraud trends and drive continuous improvement.

Persona AI is at the forefront of developing and commercializing robust, multi-functional humanoid robots designed for real-world applications. With a founding team boasting decades of experience in humanoid robotics, bionics, and advanced product development, we have successfully delivered hardware that has reached the stars, plumbed the depths of the ocean, and entertained guests at Disney Parks. Our mission centers on producing aesthetically pleasing, reliable products at scale while cultivating an exceptional, customer-oriented team.We are seeking a Machine Learning Engineer to lead our machine learning initiatives. Ideal candidates will have experience in bringing products to market, though we value aptitude and enthusiasm as well.As one of the pioneering Machine Learning Engineers at Persona, you will have the unique chance to influence the design and development of our humanoid robots from the ground up.Your Responsibilities:Collaborate on the design and development of the Persona machine learning software stack, focusing on manipulation, navigation, locomotion, and perception.Team up with the ML team to devise and implement a comprehensive strategy for developing machine learning models, ensuring alignment with cutting-edge research and development.Engage with the team to design, test, and deploy software, machine learning pipelines, and data collection methodologies.Monitor and assess the performance of models in real-world applications.Foster collaborations with universities and industry partners.Contribute to attracting, nurturing, and expanding our machine learning and autonomy teams.Qualifications:A strong sense of determination and resilience to tackle complex challenges in embodied AI.Passion for teamwork in a fast-paced environment.Over 3 years of experience in applying machine learning techniques to robotics.Proficiency in deep learning frameworks such as PyTorch, JAX, or TensorFlow.Experience with cloud computing platforms (AWS, Azure, GCP) for model development and data storage.Deep understanding of current research in robot learning, including behavior cloning for manipulation and reinforcement learning for locomotion.