Senior Machine Learning Engineer

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.

Join Us in Revolutionizing the Grocery IndustryAt Instacart, we believe in the power of food to bring people together, ensuring everyone has access to their favorite groceries while having more time to enjoy them. We perceive grocery delivery as a complex challenge filled with opportunities to meet the diverse needs of our community. Our mission is to provide an essential service that customers trust to deliver groceries and household items, while also offering flexible earning opportunities to our Personal Shoppers.Instacart has become a vital resource for millions, and we are expanding our team to drive our mission forward. If you're ready to make a significant impact and do your best work, we invite you to be part of our journey.Flex First Work CultureWe recognize that there isn't a one-size-fits-all approach to optimal performance. Our team members enjoy the flexibility to choose their preferred work environment—be it from home, at an office, or your favorite coffee shop—while fostering connections through regular in-person gatherings. Discover more about our flexible work philosophy.Position OverviewAs a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will spearhead the design and development of pivotal ML models that drive Instacart’s advertising ecosystem. This research-oriented role emphasizes theoretical problem formulation, training methodologies, and model quality instead of infrastructure or full-stack engineering. You will address key challenges in pCTR modeling, such as alleviating selection bias, position bias, and the optimizer’s curse in training data, enhancing model calibration across various surfaces and domains, and advancing our multi-task learning and sequence modeling capabilities. Additionally, you will have the chance to influence our next-generation foundation model strategy for ads ranking and contribute to innovative retrieval systems like TIGER (Transformer Index for Generative Recommenders), Semantic ID, and domain language models.The Ads Response Prediction team is responsible for all systems, algorithms, and ML models that ensure a relevant and engaging advertising experience for customers across all Instacart-powered platforms. This encompasses search and exploration retrieval systems, sequential modeling, generative retrieval systems for next interaction recommendations, LLM integrations, relevance models, and more.

Join Signifyd, a leader in eCommerce fraud protection, as a Senior Machine Learning Engineer I / II. In this role, you will leverage advanced machine learning techniques to enhance our fraud detection systems. You will work collaboratively with a team of talented engineers and data scientists to develop innovative solutions that protect businesses from fraud.

Join Axon and Be a Force for Good.At Axon, we are dedicated to the mission of protecting life. As innovators, we tackle society's most pressing safety and justice challenges through our array of devices and cloud-based software. Just like our products, we believe in collaboration—connecting with transparency and empathy, while valuing diverse perspectives from our customers, communities, and one another.Life at Axon is dynamic, challenging, and impactful. Here, you will have the opportunity to take ownership and effect real change. Continuously grow as you work hard for a mission that truly matters at a company where you are valued.Your ImpactAre you driven by a passion for AI? Do you thrive on engineering solutions that push the boundaries of science? Are you eager to play a vital role in creating products that have a positive impact on the world?As a Machine Learning Engineer at Axon, you will be instrumental in designing and implementing the platform utilized by Axon scientists to integrate secure, reliable AI features into our devices. You will collaborate closely with scientists and device engineers to enable new AI capabilities for Axon products, including Fleet, Axon Body, Axon Air, and more. Working within a multidisciplinary team, you will explore a wide range of domains and applications, from Automatic License Plate Recognition to Object Tracking and Automatic Speech Recognition.The ideal candidate will possess a proven track record of optimizing models for edge deployment, including on-device implementations with limited memory and connectivity, ensuring users around the globe are served effectively. You will have a strong understanding of the AI lifecycle, supporting scientists throughout the end-to-end development of new machine learning models and AI capabilities, leading to better and more responsible AI solutions. You will be encouraged to take bold steps in supporting your team to enable features that transform the lives of officers and drive positive impacts in public safety.

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.

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.

Be a Force for Good with Axon.At Axon, our mission is to protect life by addressing society's most pressing safety and justice challenges through a suite of innovative devices and cloud software. We thrive on collaboration, valuing diverse perspectives from our customers, communities, and one another.Life at Axon is dynamic, challenging, and impactful. You will be empowered to take ownership and instigate meaningful change. Experience personal growth while dedicating your efforts to a mission that matters at a company where you are valued.Your ImpactAs a Senior Machine Learning Engineer specializing in Sensor Fusion & Tracking, you will engage in the research, design, and validation of sophisticated estimation and probabilistic models that drive Dedrone's real-time airspace awareness systems. Your contributions will underpin the mathematical principles that facilitate multi-sensor fusion, multi-target tracking, and uncertainty modeling in intricate environments. This role presents the unique chance to apply advanced theoretical concepts to operational systems that bolster critical safety initiatives globally.

Your Impact at Lila As a Machine Learning Engineer on the Physical Sciences team, you will play a pivotal role in developing and managing comprehensive, scalable machine learning workflows. These workflows will address a wide range of scientific challenges in materials science, chemistry, and physical sciences. Your contributions will be instrumental in advancing research initiatives focused on cutting-edge algorithms, driving towards the establishment of scientific superintelligence to tackle today’s most significant challenges in physical sciences. What You Will Build Design, implement, and sustain end-to-end ML pipelines, encompassing data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Productionize models and services while ensuring robust testing, observability, and documentation in collaboration with cross-functional software teams; develop CI/CD workflows and automated evaluations to facilitate safe and frequent releases. Work closely with domain scientists and platform engineers to translate research insights into high-performing, scalable systems. Participate in technical design reviews, establish coding standards, and mentor colleagues on best practices. What You’ll Need to Succeed BS, MS, or PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience. A solid foundation in Python software engineering, including testing, packaging, and typing; experience with machine learning frameworks such as PyTorch and Hugging Face. Experience deploying ML services in cloud-based environments (FastAPI/GRPC, containers, orchestration, cloud infrastructure). Hands-on experience with deploying models in production systems (LLMs, multimodal models, databases, RAG) along with strong debugging and profiling skills. Effective communication and collaboration in cross-functional settings. Bonus Points For Familiarity with scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks. Experience in GPU optimization (CUDA, Triton, compilation, distributed training). Previous contributions to open-source ML or scientific software. Experience with workflow orchestration, data provenance, or large-scale computing environments. About Lila Lila Sciences stands as the pioneering platform for scientific superintelligence, offering an autonomous laboratory dedicated to life sciences, chemistry, and materials science. We are at the forefront of a new era of limitless discovery, harnessing AI to revolutionize research and innovation in these fields.

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.

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.

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.

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.

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 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.

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.

Join SoundCloud, a leading platform that enables artists and fans to connect and share their passion for music. Established in 2007, our artist-first approach empowers creators to develop their careers with innovative tools, services, and resources. With a catalog featuring over 400 million tracks from 40 million artists, the future of music is unfolding at SoundCloud. We are seeking a Senior Machine Learning Engineer to become an integral member of our Reco-Core team. This role presents an exciting opportunity to influence and steer the machine learning initiatives for one of SoundCloud's most essential product areas. You will collaborate closely with machine learning, data, and backend engineers to design, implement, and deploy models that facilitate music discovery for millions of users across our extensive audio catalog.Key Responsibilities:Create and deploy comprehensive machine learning solutions for recommendation systems, focusing on candidate generation, personalization, user and item modeling, and ranking algorithms.Oversee the entire machine learning lifecycle, from prototyping and evaluation to deploying scalable models and monitoring performance in production.Enhance and expand the foundation for ML engineering and MLOps within the Reco-Core team, establishing best practices and developing tools for rapid iteration.Collaborate with analysts and data scientists to convert research findings into production-ready systems.Work alongside fellow ML engineers to utilize shared infrastructure and collective expertise.

Senior Machine Learning Engineer IISumo Logic is a leading cloud-native SaaS data analytics platform, dedicated to tackling complex observability and security challenges. Our platform empowers clients to effortlessly monitor, optimize, and secure their applications, systems, and infrastructures. With a robust microservices architecture hosted on AWS, we process petabytes of data daily across various geographical regions, facilitating millions of queries to analyze vast datasets.What You Will Be DoingIn the role of Machine Learning Engineer, you will be at the forefront of developing the intelligence that powers the next generation of agentic AI systems and associated technologies, designed to interpret vast and diverse log data. You will utilize machine learning, prompt engineering, and rigorous evaluation techniques to create autonomous AI agents that enable organizations to comprehend and act upon their data in real time.Joining our small, high-impact team offers a unique opportunity to influence how AI agents process complex machine data. You will work with cutting-edge LLM infrastructure and contribute to establishing best practices in context engineering and AI observability.Key ResponsibilitiesDesign, implement, and optimize agentic AI components, focusing on context engineering, memory management, and prompt strategies.Develop and maintain golden datasets by defining sourcing strategies, collaborating with data vendors, and ensuring quality and representativeness at scale.Prototype and evaluate innovative prompting strategies and reasoning chains to improve model reliability and interpretability.Collaborate cross-functionally with product, data, and infrastructure teams to deliver comprehensive AI-powered insights.Operate autonomously in a dynamic, fast-paced environment, defining project scope, setting milestones, and driving successful outcomes.Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement.Maintain a strong bias for action by delivering incremental, well-tested enhancements that directly improve customer experiences.