Machine Learning Engineer Lovelace AIMachine Learning EngineerPittsburgh, PennsylvaniaAndrew Moore , who has a track record of building impactful AI systems, designing them with human rights impact assessments as a top priority, leading the AI division of one of the world’s foremost cloud companies, and actively participating in machine learning and AI research over the past two decades. Lovelace is the only provider of enterprise-scale context engines capable of analyzing trillions of real-time data points to create knowledge graphs that are usable by autonomous agents at the speed, scale, and accuracy required for mission-critical analysis.
Senior Machine Learning engineer - Distribution & Supply ExpediaSenior Machine Learning engineer - Distribution & SupplySeattle, WashingtonThe Distribution & Supply team builds and optimizes the machine learning–driven systems that power how our travel supply is connected, priced, and surfaced across Expedia Group’s global marketplace, ensuring partners can efficiently reach travelers with the right inventory at the right time. Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products, including designing and running experiments, using metrics and analytics to guide model iteration, and managing model lifecycle (retraining, versioning, and rollout strategies).
Machine Learning Engineer, Level 4 SnapMachine Learning Engineer, Level 4Palo Alto, California$173,000–$259,000 / yearThe Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. 3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field.
Machine Learning Engineer, Level 5 SnapMachine Learning Engineer, Level 5Palo Alto, California$209,000–$313,000 / year5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.
Senior Machine Learning Engineer ExpediaSenior Machine Learning EngineerSeattle, WashingtonThe Distribution & Supply team builds and optimizes the machine learning–driven systems that power how our travel supply is connected, priced, and surfaced across Expedia Group’s global marketplace, ensuring partners can efficiently reach travelers with the right inventory at the right time. Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products, including designing and running experiments, using metrics and analytics to guide model iteration, and managing model lifecycle (retraining, versioning, and rollout strategies).
Machine Learning Engineer CoVarMachine Learning EngineerDurham, NCWe develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques.
NewSenior Principal Electrical Engineer - Test RaytheonSenior Principal Electrical Engineer - TestTucson, AZTypically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited, or an Advanced Degree in a related field and minimum experience 7 years. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
Machine Learning Engineer - New AI Initiatives TORC Robotics LLCMachine Learning Engineer - New AI InitiativesNY$153,200–$183,800 / yearBachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience or; Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience. As a Machine Learning Engineer on the New AI Initiatives team, you will translate ambiguous and complex business problems into machine learning workflow including exploratory data analysis, deep learning model development, and embedded deployment.
Senior Machine Learning Engineer Affinity IncSenior Machine Learning EngineerSan Francisco, CA$160,000–$235,000 / yearOur Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. Collaborate cross-functionally: Partner with cross-functional (product, infra, data engineering, and software engineering) teams to build robust, high-scale systems that underlie all of our data processing and ML Operations.
Senior Machine Learning Engineer Voleon Capital Management LpSenior Machine Learning EngineerNew York City, NYYou will be expected to understand the statistical and mathematical concepts your research partners work with, contribute meaningfully to technical discussions about model design and evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will translate novel research ideas into production-quality code, build and maintain the data pipelines and modeling infrastructure that underpin our strategies, and apply your own strong mathematical intuition to solve open-ended technical challenges.
Research Scientist/Research Engineer | Deep Learning Jump TradingResearch Scientist/Research Engineer | Deep LearningChicago, NY$200,000–$350,000 / yearThey leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Machine Learning Engineer II KenshoMachine Learning Engineer IINew York, New York$140,000–$180,000 / yearThis is a hands-on, full-lifecycle (from experimentation to productionization) ML role with a strong emphasis on developing and orchestrating intelligent agent frameworks, designing novel and robust retrieval methods, validating AI-generated outputs, and building scalable systems that connect data to actionable insights. What You’ll Do : Solve unique challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and evaluation of agent performance to ensure they meet user needs effectively.
NewSenior Machine Learning Engineer, Accelerated Apache Spark NVIDIASenior Machine Learning Engineer, Accelerated Apache SparkUs, CaliforniaApache Spark is the most popular data processing engine in data centers for running massive scale workloads for ETL, SQL, and ML/DL model training and inference pipelines, spanning many domains and use cases. Proven ability to employ modern tooling and sound techniques for all aspects of crafting, deploying, and maintaining machine learning models.
Machine Learning Engineer, Causal Inference, Level 5 Snap IncMachine Learning Engineer, Causal Inference, Level 5New York, NY$209,000–$313,000 / year5+ years of post-Bachelor's experience in machine learning, with hands-on experience in causal inference or experimentation; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experience. Knowledge, Skills & Abilities: Strong understanding of causal inference and modern approaches to estimating treatment effects (e.g., meta learners, propensity score matching, instrumental variables).
Senior Algorithm Engineer, Deep Learning & Vision Bot AutoSenior Algorithm Engineer, Deep Learning & VisionHouston, TexasBe exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components. Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, modern transformer architecture, and employ SOTA techniques of machine learning.
NewSenior Artificial Machine Learning Operations Engineer ManTech International CorpSenior Artificial Machine Learning Operations EngineerAshburn, VA$116,400–$194,900 / yearThe ideal candidate will have deep expertise and experience with predictive modeling lifecycles, hands-on experience with machine learning tools and frameworks, and a pragmatic, customer-centric approach to applying ML models to solve complex problems. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories.
Machine Learning Engineer Equifax IncMachine Learning EngineerAlpharetta, GACollaboration - Being able to engage with internal stakeholders, including data scientists, business leaders, product managers, and executives, to understand requirements and present technical solutions; Ability to collaborate with other teams, such as software engineering, data engineering, and business intelligence, to integrate machine learning solutions into larger systems. Artificial Intelligence - Designing scalable and maintainable machine learning architectures and frameworks for the organization's products and services; Ability to define the technical vision and roadmap for the MLE team aligned with the organization's goals and industry trends.
Artificial Intelligence Machine Learning Engineer ManTech International CorpArtificial Intelligence Machine Learning EngineerAshburn, VA$98,000–$163,100 / yearPhysical Requirements: The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations, The projected compensation range for this position is $98,000.00-$163,100.00. The ideal candidate will have deep expertise and experience with predictive modeling lifecycles, hands-on experience with machine learning tools and frameworks, and a pragmatic, customer-centric approach to applying ML models to solve complex problems.
Senior Machine Learning Infrastructure Engineer, Embedding Platform Reddit IncSenior Machine Learning Infrastructure Engineer, Embedding PlatformCARemote$190,800–$267,100 / yearAt the senior level, you will own major technical components end to end: designing models, implementing training and evaluation pipelines, and driving production deployment in close partnership with ML platform, product, and cross-functional ML teams. Work with cross-functional partners across product, relevance, ads, and core ML teams to deliver measurable improvements in user experience and business impact.
Machine Learning Engineer II S&P Global IncMachine Learning Engineer IICambridge, MA$140,000–$180,000 / yearOur mission is to make complex unstructured data easily discoverable and actionable by building intelligent, retrieval-driven systems that enhance enterprise search, question answering, deep research, report generation, and knowledge discovery experiences across S&P Global platforms. 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), information retrieval systems and large-scale text processing, including designing, shipping, and maintaining production systems.