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Experience Level
Senior
Qualifications
Proven experience in machine learning operations and model deployment. Proficiency in programming languages such as Python or R. Strong understanding of cloud services (AWS, Azure, Google Cloud). Experience with containerization technologies such as Docker and Kubernetes. Excellent problem-solving skills and ability to work collaboratively in a team. Bachelor's degree in Computer Science, Data Science, or a related field.
About the job
Join our dynamic team at Arrive Logistics as a Senior Machine Learning Operations Engineer, where you will play a pivotal role in optimizing our machine learning processes and enhancing operational efficiency. You will be responsible for deploying machine learning models into production, monitoring their performance, and collaborating with data scientists to ensure seamless integration with our existing systems.
Your expertise in cloud computing and machine learning frameworks will be crucial in driving innovation and improving our logistics solutions. If you're passionate about leveraging technology to solve real-world problems and thrive in a fast-paced environment, we want to hear from you!
About Arrive Logistics
Arrive Logistics is a leading logistics and supply chain solutions provider, dedicated to delivering innovative and efficient solutions to our clients. With a commitment to leveraging technology and data, we strive to optimize transportation processes and enhance operational performance across the industry.
Who We AreAt Arrive Logistics, we are a premier transportation and technology firm in North America, dedicated to substantial growth year after year. Our achievements reflect the strength of our exceptional team and the innovative solutions we are developing together. We prioritize delivering a meaningful work experience for our employees and have cultivated…
Join our dynamic team at WizardCommerce as a Senior Machine Learning Operations Engineer. In this pivotal role, you will spearhead the deployment, monitoring, and optimization of machine learning models in production environments, ensuring they operate efficiently and effectively. Collaborate with data scientists and software engineers to create robust ML pipelines and contribute to the continuous improvement of our AI solutions.Your expertise will be critical in scaling our operations and enhancing the overall performance of our machine learning systems. If you are passionate about leveraging cutting-edge technologies and driving innovation in the field of machine learning, we want to hear from you!
Join our dynamic team at Arrive Logistics as a Senior Machine Learning Operations Engineer, where you will play a pivotal role in optimizing our machine learning processes and enhancing operational efficiency. You will be responsible for deploying machine learning models into production, monitoring their performance, and collaborating with data scientists to ensure seamless integration with our existing systems.Your expertise in cloud computing and machine learning frameworks will be crucial in driving innovation and improving our logistics solutions. If you're passionate about leveraging technology to solve real-world problems and thrive in a fast-paced environment, we want to hear from you!
At Vectara, we are revolutionizing the deployment of Enterprise AI Agents and AI Assistants, emphasizing Accuracy, Security, and Explainability like never before. Our enterprise RAG Platform stands out by utilizing advanced models for retrieval, embedding, and reranking, alongside a meticulously optimized LLM trained for quality and cutting-edge Hallucination Mitigation techniques. Our innovative approach has garnered recognition in esteemed publications such as the New York Times and Visual Capitalist, solidifying our reputation as leaders in responsible, production-ready AI solutions. With a diverse clientele of over 100 enterprises, including prominent US military organizations, financial institutions, healthcare providers, and manufacturers, we are committed to delivering exceptional results.Our founding team comprises seasoned professionals from Google, specializing in neural information retrieval and distributed systems. We invite you to join us in our mission to empower the world to discover meaningful insights. At Vectara, our team is built on passion and expertise, featuring top talents from companies like Google, Cloudera, Splunk, MongoDB, and Elastic.
Full-time|$150K/yr - $190K/yr|Remote|Remote - United States
ABOUT USZeta Global (NYSE: ZETA) is a leading AI-powered marketing cloud that harnesses advanced artificial intelligence and vast consumer signals to empower marketers in acquiring, growing, and retaining customers effectively. Our Zeta Marketing Platform (ZMP) simplifies sophisticated marketing by unifying identity, intelligence, and omnichannel activation into a single platform, supported by one of the industry's largest proprietary databases. Founded in 2007 by David A. Steinberg and John Sculley, Zeta Global is headquartered in New York City with a global presence. Explore more at www.zetaglobal.com.POSITION OVERVIEWWe are at the forefront of data-driven marketing innovations at Zeta Global, leveraging cutting-edge machine learning and AI to deliver exceptional insights and performance. We are looking for a forward-thinking Senior Product Manager to lead our Machine Learning Operations initiatives, with a focus on creating retail-specific models and a user-friendly Model Workbench that empowers marketers to leverage machine learning without requiring extensive technical expertise.
Full-time|$120.3K/yr - $180.4K/yr|On-site|Mountain View, California (HQ)
About Nuro Nuro is pioneering self-driving technology with a vision to democratize autonomy for everyone. Established in 2016, we are developing the most scalable driver in the world, integrating advanced AI with automotive-grade hardware. Nuro's core technology, the Nuro Driver™, is licensed for diverse applications ranging from robotaxis and commercial fleets to personal vehicles. With years of successful self-driving deployments under our belt, we offer automakers and mobility platforms a clear pathway to achieving commercial-scale autonomous vehicles, contributing to a safer, richer, and more connected future. Role Overview At Nuro, we adopt a machine learning-first approach to autonomous driving. The quality of our Nuro Driver™ is intrinsically linked to the data utilized for its training, and this position plays a pivotal role in maintaining that standard. As a Senior Project Manager in ML Operations, your focus will be on oversight rather than execution. While our operators manage the day-to-day operations of data pipelines, your responsibility will be to take a broader view, identifying where quality issues may arise, understanding the causes, and devising actionable solutions. You will co-manage over 10 active data labeling pipelines in collaboration with senior leadership, placing a strong emphasis on data quality and addressing any gaps. This role requires a keen eye for detail, as even minor errors in annotation or classification can lead to significant safety regressions. We seek an individual who prioritizes precision and can differentiate between labeling mistakes and systemic issues. Your Responsibilities Establish and uphold data quality standards across 10+ labeling pipelines, defining what constitutes “good” for each data type, implementing measurement tools, and meticulously tracking discrepancies. Identify and rectify quality gaps by auditing live workflows, querying databases, tracing accuracy failures to their root causes, and presenting specific, evidence-based improvement plans. Work collaboratively above the execution layer by partnering with operations project managers focused on throughput and delivery, providing insights into quality diagnostics that they may overlook.
Join k1x as a Machine Learning Operations Engineer and play a pivotal role in the deployment and optimization of machine learning models. You will collaborate with data scientists and software engineers to create robust ML pipelines, ensuring effective performance and scalability in production environments. Your expertise in MLOps will contribute to innovative solutions that drive business success.
Special Notice This is a full-time position at webAI in Austin, TX. Employment is not tied to project awards or external funding. Role Overview webAI seeks a Senior Machine Learning Engineer to strengthen its Public Sector work. The focus: building and refining production-ready AI systems designed for secure, distributed environments. This role centers on moving models from prototype to reliable, scalable deployment, supporting government cloud platforms and edge devices, even where connectivity is limited or absent. What You Will Do Design and implement agentic workflows for multi-step reasoning, tool use, and automated decision-making in production systems. Convert research AI models into scalable systems used in real-world applications. Develop adaptive machine learning solutions using LoRA, PEFT, and on-device inference. Work with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers to create, fine-tune, and optimize models. Apply model optimization methods such as quantization, pruning, distillation, and hardware-specific acceleration. Build and manage Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases for contextual retrieval. Collaborate with multi-modal AI systems across computer vision, audio, and natural language processing domains. Improve model performance for distributed and resource-constrained environments, ensuring systems remain dependable under different connectivity scenarios. Requirements Active US Security clearance. At least 4 years of experience in applied AI, machine learning engineering, or production AI systems. Strong proficiency with PyTorch, TensorFlow, or Hugging Face Transformers. Hands-on experience deploying AI models to cloud, edge, and mobile hardware. Expertise in model compression and optimization (quantization, pruning, distillation). Background in building RAG pipelines and integrating vector databases.
Join Zoox as a Senior Machine Learning Engineer specializing in Perception, where you will play a pivotal role in crafting and deploying state-of-the-art detection models that leverage integrated sensor data. This position focuses on pioneering projects tailored for the next generation of driving software, which includes developing joint detection and tracking models and innovating methods to transmit enriched embeddings to downstream models to enhance semantic understanding and uncertainty management.This unique opportunity allows you to significantly contribute to Zoox's venture into new horizons. By engineering more robust and adaptable models, you will aid in navigating complex and diverse scenarios, propelling our mission to achieve safe and dependable autonomous mobility. We seek an enthusiastic and driven individual who is eager to push the limits of perception technology in autonomous vehicles.
Full-time|$137K/yr - $180K/yr|Remote|Remote, Contiguous United States
About SmartAsset:SmartAsset is a premier online platform dedicated to providing consumer-oriented financial information and guidance. Our mission is to empower individuals to make informed financial choices, reaching an impressive audience of over 59 million users monthly (as of January 2025) through our educational resources and personalized financial tools. To further our mission, we operate the SmartAsset Advisor Marketing Platform (AMP), which facilitates connections between consumers and fiduciary financial advisors. Our achievements include recognition on the Inc. 5000 list (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022), alongside being included in Y Combinator’s Top 100 Companies. A successful Series D funding round in 2021 raised $110 million, valuing the company at over $1 billion.*SmartAsset did not provide compensation for the aforementioned awards, aside from application and licensing fees.About the Team:The Machine Learning Engineering team is responsible for designing, building, and integrating the core platform that enables innovative capabilities for financial advisors, including features powered by generative AI. Our engineers continually enhance this platform, developing transformative applications and tools that empower financial professionals to connect more effectively with their clients and expand their businesses.About the Job:We are on the lookout for a driven and seasoned Machine Learning Engineer to join our expanding team. In this pivotal role, you will play a key part in developing and scaling essential backend systems for predictive analytics and generative AI. You will engage in the full software development lifecycle, from architectural design to deployment and maintenance, contributing significantly to our foundational infrastructure and data strategies. Collaborating closely with cross-functional teams, including LLM Engineers, Product Owners, and Data Scientists, you will help turn our vision into reality.
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.
Full-time|On-site|New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States
Join headway as a Senior Machine Learning Engineer and make a significant impact in the field of machine learning and artificial intelligence. In this role, you will leverage your expertise to develop innovative solutions, improve existing algorithms, and collaborate with cross-functional teams to drive forward our mission of transforming the healthcare experience.
Full-time|$100K/yr - $160K/yr|On-site|Cocoa Beach, Florida, United States
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.
Role overview Waabi Inc. is looking for a Senior or Staff Machine Learning Operations Engineer to help move AI technologies forward. This role focuses on optimizing and deploying machine learning models that support autonomous systems. The position calls for experience in maintaining reliable and scalable ML solutions.
About zaimlerAt zaimler, we recognize that AI agents struggle to make decisions based on fragmented data. Today’s enterprise data is scattered across numerous systems, lacking shared context and structure, which contributes to the challenges faced in enterprise AI. As we transition from copilots to fully autonomous agents, we're establishing a revolutionary infrastructure layer to support this evolution.zaimler serves as the foundational context infrastructure for the agentic era. Our platform autonomously uncovers domain knowledge, maps intricate relationships, and equips AI agents with the semantic understanding necessary for precise operations at scale. Envision knowledge graphs that facilitate real-time inference, designed specifically for systems that require reasoning capabilities, rather than mere data retrieval.Founded by industry veterans Biswajit Das and Sofus Macskassy, zaimler is a small yet highly skilled team at the seed stage, collaborating with major enterprises across sectors such as insurance, travel, and technology. If you aspire to develop the infrastructure that will underpin the next decade of AI advancements, we invite you to join our journey.About the RoleWe are in search of a Senior Machine Learning Engineer to enhance our dynamic team, ideally based in the Bay Area or open to relocation. The perfect candidate will possess strong expertise in one or more of the following areas: Knowledge Extraction, Natural Language Understanding, Unsupervised Learning, Information Retrieval, and Fine-tuning Large Language Models (LLMs). In this pivotal role, you will be instrumental in developing and training the models, pipelines, and methodologies that drive our semantic graph systems. We seek an individual with a robust background in machine learning, natural language processing, LLMs, and semantic technologies, along with a proven history of managing complex, large-scale machine learning projects.
Join Poshmark, Inc. as a Senior Machine Learning Engineer and help us shape the future of e-commerce through cutting-edge technology. In this role, you will leverage your expertise in machine learning to develop innovative models and algorithms that enhance user experiences and drive business growth.As part of our dynamic team, you will collaborate with data scientists, engineers, and product managers to implement machine learning solutions that solve real-world problems. Your contributions will directly impact our platform, making it smarter and more intuitive for our users.
Role overview The Senior Machine Learning Engineer at Rational Dynamics will work onsite in Berkeley, CA. The main focus is on developing and improving machine learning algorithms that power data-driven applications. This position involves hands-on work, from building models to optimizing and deploying them for greater performance and efficiency. What you will do Design, build, and fine-tune machine learning algorithms for practical, real-world scenarios Collaborate with colleagues from various disciplines to integrate models into products and workflows Deploy solutions that help drive better decision-making throughout the company
About StepAt Step, we empower side hustlers, creators, freelancers, and investors. We're dedicated to those eager to start early, rebuild, or enhance their current situation. For individuals who embrace challenges, especially in their financial journeys.Step is a cutting-edge financial services provider, committed to transforming the banking and borrowing experience to help individuals achieve financial independence swiftly. We offer essential tools, education, and opportunities to manage, build, and grow wealth with assurance. Our focus is to disrupt the banking sector by crafting a distinctive, mobile-first consumer experience.Our product has resonated with over 7 million customers, and if you're seeking to join a rapidly expanding company with a purposeful mission that prioritizes people, we would love to connect with you!Step is part of Beast Industries, a diverse media and entertainment enterprise founded by Jimmy Donaldson, widely recognized as MrBeast, the most-watched individual globally. Beast Industries has redefined digital content creation and consists of a wide array of ventures that extend beyond its YouTube roots. With a commitment to entertain, inspire, and create substantial social impact, Beast Industries operates across numerous domains, including digital media, philanthropy, consumer products, and innovative business initiatives. We believe in the transformative potential of digital media to entertain, educate, and foster positive change. Our dedication to creativity, innovation, and philanthropy inspires us to explore new challenges, create unforgettable experiences, and build a legacy that motivates future generations.The RoleWe are seeking a skilled Senior Machine Learning Engineer to design, build, and implement Machine Learning models for our Risk and Fraud detection systems.
About MatterworksAt Matterworks, we are pioneering innovative AI solutions that harness the vast potential of biological data. Our mission is to extract actionable insights that drive breakthroughs in therapeutic discovery, development, and manufacturing. By leveraging advanced deep learning techniques, we aim to model biological data on a large scale to accurately predict the phenotypic outcomes and behaviors of complex biological systems.Position OverviewAs a Senior Machine Learning Scientist, you will play a vital role in enhancing our deep learning framework. You will design, implement, and refine neural network architectures specifically crafted for analyzing intricate mass spectrometry data. This position empowers you to take ownership of critical model components and lead projects from conceptual experimentation to successful deployment. A robust understanding of deep learning and a commitment to developing impactful, high-quality models are essential.Key ResponsibilitiesModel Development: Innovate, adapt, and optimize deep learning architectures tailored to our scientific applications and data types, utilizing our Large Spectral Model framework.Project Execution: Lead and execute intricate machine learning projects, encompassing experimental design, implementation, evaluation, and iterative refinement based on empirical findings.High Iteration Velocity: Develop clean, robust code in PyTorch and NumPy to facilitate rapid experimentation and model improvement.Research and Innovation: Keep abreast of the latest advancements in deep learning and its applications in chemistry and biology. Develop and prototype novel ideas that enhance our modeling capabilities.Collaboration: Collaborate closely with scientists and engineers across the organization to integrate models seamlessly into our product ecosystem.QualificationsPh.D. or M.S. in a quantitative discipline (Computer Science, Chemistry, Physics, or equivalent) or comparable experience.A minimum of 3 years of practical experience in developing and deploying deep learning models.Proficiency in Python, PyTorch, and NumPy is essential.Experience in designing or modifying neural network architectures is required. A portfolio of relevant projects or publications will be highly regarded.Prior experience in spectral analysis, structure prediction, or molecular representation learning is advantageous.Familiarity with scientific data formats (e.g., HDF5, mzML, Zarr) is a plus.
Full-time|$190K/yr - $218.5K/yr|Remote|United States - Remote
Transforming the Grocery LandscapeAt Instacart, we believe in the power of food to bring people together. Our mission is to make grocery shopping effortless and accessible for everyone, allowing more time to enjoy meals with loved ones. While many see grocery delivery as a simple task, we recognize the intricate challenges and limitless opportunities in meeting the diverse needs of our community. Our service is a vital lifeline for countless individuals, and we are committed to providing not only an essential service but also flexible earning opportunities for our Instacart Personal Shoppers.If you are passionate about making an impact and ready to take your career to the next level, we invite you to join our team.Instacart's Flex First ApproachWe understand that there is no single way to achieve our best work. Our team members enjoy the flexibility to choose their work environment—be it from home, an office, or a favorite café—while fostering connections through regular in-person gatherings. Discover more about our flexible work philosophy.Position Overview:We are seeking a skilled Senior Machine Learning Engineer with a robust background in Operations Research to join our Service Availability & Routing team within Instacart's Logistics division. In this pivotal role, you will engage in complex problem-solving at the intersection of combinatorial optimization, mathematical programming, and artificial intelligence. Your focus will include order batching, shopper routing, service availability forecasting, and real-time task assignment. Collaborating closely with engineering, product, and data science teams, you will develop and implement models and algorithms that significantly impact Instacart's profitability and enhance the shopper experience.The Logistics & ML group is at the forefront of our fulfillment system's intelligence and execution. This team is dedicated to optimizing a multi-faceted marketplace that ensures timely and high-quality order delivery to customers, efficient and satisfying work for shoppers, and favorable business conditions for retailers and consumer brands. We tackle complex challenges across various domains, including matching, pricing, and geospatial analytics, while maintaining a high-throughput system with dynamic data.
