NewMachine Learning Engineer - Sr. Consultant Level Visa Technology and Operations LLCMachine Learning Engineer - Sr. Consultant LevelAustin, TX$152,200–$243,700 / yearExperience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce • Experience with distributed caching technologies like Redis • Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring. Essential Functions: Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
NewML Solution Architect JobotML Solution ArchitectAustin, TX$150,000–$250,000 / yearInformation collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. Responsibilities: Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation).
Staff Software Engineer Visa Technology and Operations LLCStaff Software EngineerAustin, TX$131,600–$210,300 / yearProficiency in implementing and fine-tuning AI models using popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn) • Understanding of model compression techniques and their trade-offs • Awareness of transfer learning concepts and their applications • Familiarity with common robustness issues in AI systems • Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps. • Knowledge of version control, CI/CD pipelines, and best practices for ML model deployment • Familiarity with deep learning basics, including neural network architectures and training procedures • Ability to design and implement AI components and integrate them into larger systems • Working knowledge using distributed in-memory computing technologies like Redis.
NewStaff SW Engineer Visa Technology and Operations LLCStaff SW EngineerAustin, TX$131,600–$210,300 / yearSolid understanding and preferably experience working experience with AI/ML technologies in building and supporting scalable, reliable data solutions and AI/machine learning powered systems using modern big data and AI/ML technologies. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base.
NewServiceNow AI Architect Kforce Inc.ServiceNow AI ArchitectAustin, TXRemote$90–$100ServiceNow domain knowledge, including: Now Assist and Generative AI Skills / Skill Kit, AI Agents and Agentic workflows, AI Control Tower, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agent-to-Agent (A2A), and Model Context Protocol (MCP). Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving; This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States) Yelp IncStaff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)Austin, TXRemote$112,000–$269,000 / yearYelps mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. What it takes to succeed: Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines.
Machine Learning Solutions Engineer, Google Cloud Google LLCMachine Learning Solutions Engineer, Google CloudAustin, TX3 years of experience building production artificial intelligence (AI) and machine learning (ML) models or agentic solutions models for use cases (e.g., tabular data, images, video, speech, and unstructured text) with TensorFlow, Keras, JAX, Spark ML, or Scikit Learn. Stay abreast of machine learning developments and network across the Google Cloud research community to provide Advanced Solutions Lab participants with up-to-date knowledge and opportunities for engagements with other machine learning experts.
Principal Machine Learning Engineer - Model Efficiency & Optimization StratAcuity Staffing Partners IncPrincipal Machine Learning Engineer - Model Efficiency & OptimizationAustin, TX$50,000–$60,000 / yearIn terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.
Machine Learning Engineer - News, Books, and Stocks Team Apple IncMachine Learning Engineer - News, Books, and Stocks TeamAustin, TXThe team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more! In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning.
Sr Machine Learning Engineer - Synthetic Data & Document Understanding StratAcuity Staffing Partners IncSr Machine Learning Engineer - Synthetic Data & Document UnderstandingAustin, TX$50,000–$60,000 / yearIn terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. This role focuses on building generative pipelines that produce high-quality, diverse, and realistic synthetic training data at scale.
Staff Machine Learning Engineer - News, Books, and Stocks Team Apple IncStaff Machine Learning Engineer - News, Books, and Stocks TeamAustin, TXThe team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more! In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning.
Machine Learning Engineer AvrideMachine Learning EngineerAustin, TexasWe design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.
Machine Learning Engineer ShipwellMachine Learning EngineerAustin, TXAwards include Gartner Magic Quadrant for TMS 2025, 2024, 2023, 2022, 2021, Food Logistics' 2024 Top Software & Technology Providers, and FreightWaves' FreightTech 2022 and 2021 Awards for Innovation and Disruption in Freight Industry. Shipwell was also named the fourth fastest-growing company in North America on the 2021, 2022, and 2023 Deloitte Technology Fast 500 and Forbes 2020 Next Billion-Dollar Startup.
Machine Learning Engineer ExtendMyTeamMachine Learning EngineerAustin, TXWe are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and enhance implementation efficiency. This team is investing heavily in AI-driven innovation to improve operational efficiency, accelerate software delivery, and streamline implementation processes across a large-scale delivery organization.
Machine Learning Engineer - People Analytics Apple IncMachine Learning Engineer - People AnalyticsAustin, TXMS with 5+ years of professional experience applying data science to real-world business problems Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection Proficiency in writing SQL queries involving database joins and analytical/window functions Ability to implement data science pipelines, analyses, and applications in a programming language such as Python or R Prior experience working with employee data or HR systems Experience with natural language processing (sentiment, topic identification, summarization, entity extraction) and network analysis a plus. Ability to comprehend and debug complex systems integrations spanning multiple toolchains and teams Ability to extract meaningful business insights from data and identify the stories behind the patterns Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways Creativity to engineer novel features and signals, and to push beyond current tools and approaches Ph.
Machine Learning Engineer, Apple Store Online Apple IncMachine Learning Engineer, Apple Store OnlineAustin, TXYou'll mentor other MLE's and lead an effort to build scalable end-to-end machine learning solutions for our retail customersCollaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment Contribute to the ongoing improvement of our ML infrastructure and tooling Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineeringProficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems Hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (eg: Spark, SQL, Snowflake/Hadoop, etc) Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, Statistics, or Bachelors degree in quantitative field with a focus on AI in courseworkUnderstanding of machine learning model lifecycle from prototyping, feature engineering, training, inference, deployment, monitoring and continuous improvements via deep analysis) Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus Experience with Spark, TensorFlow, Keras, and PyTorch a plus Skilled in communication, problem solving, strategic thinking. To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms.
Staff Machine Learning Engineer SamsaraStaff Machine Learning EngineerAustin, TXRemoteYou believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. • You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
Lead Machine Learning Inference Engineer, Advertising Roku IncLead Machine Learning Inference Engineer, AdvertisingAustin, TXSenior Software Engineer (Frontend/Client Engineering) San Jose, California Social Media Manager Concord, Massachusetts Manager, Client Strategy New York Senior Ad Research Manager Chicago, Illinois Client Strategy Manager New York Senior Machine Learning Engineer - Advertising Engineering Embassy Golf Links Business Park, Domlur, Bengaluru, Karnataka Senior Software Engineer, Data Engineering Embassy Golf Links Business Park, Domlur, Bengaluru, Karnataka Director, Product Commercialization - Ads Manager New York. blocks--linked-image#click keydown.enter->blocks--linked-image#click" data-controller="" data-open-newtab="false" id="page_block_ddcbf6cd2b3fb01ca7c9279824ad0b15" style="background-image: linear-gradient(rgba(0, 0, 0, 0.0),rgba(0, 0, 0, 0.0)), url( https://d25wby5c7p9100.cloudfront.net/public/uploads/9dd4272d942760bfb0f16858b0a632e7/images/files/9fe8b0cc48a58cfb0c4d05137e277a7e/large/Purple_People.jpg?1632851332);background-position : 50% 50%" title="">.
Senior / Staff Machine Learning Engineer AvrideSenior / Staff Machine Learning EngineerAustin, TexasIn this role, you will drive the development and deployment of machine learning solutions for some of the hardest problems in autonomy conducting experiments, managing large-scale datasets, and implementing deep learning models tailored for real-world autonomous systems. We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs).
Machine Learning Engineer - REMOTE PTPMachine Learning Engineer - REMOTEAustin, TXRemoteWe are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. We are a diverse organization and are looking for bright, passionate, and committed professionals who strive to be the best at what they do.
Artificial Intelligence / Machine Learning Engineer Lumen Solutions Group, Inc.Artificial Intelligence / Machine Learning EngineerAustin, TXThe ideal candidate will work closely with cross-functional teams to gather requirements, build intelligent systems, and deliver impactful AI-driven solutions. Job Description : The Texas Department of Transportation (TxDOT) is seeking a motivated Artificial Intelligence / Machine Learning Engineer to join its Traffic Technology team.
Machine Learning Engineer, Strategic Data Solutions (Fulfillment, Supply Chain, Logistics domain exp) Apple IncMachine Learning Engineer, Strategic Data Solutions (Fulfillment, Supply Chain, Logistics domain exp)Austin, TXAs a Machine Learning Engineer on this team, you will work with partners across Apple, using machine learning and optimization techniques to design, build, deploy, and maintain end-to-end solutions that improve operational efficiency and security, with a direct, measurable impact on the company and our customers. This role is on our Fulfillment Operations team, where the enormous scale and complexity of Apple's global supply chain present exciting opportunities for applying machine learning and optimization to real-world logistics problems.
Technology Lead | data science | Machine Learning IMCS Group IncTechnology Lead | data science | Machine LearningAustin, TXExpertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs.
Sr. Machine Learning Engineer, Cell Manufacturing Tesla IncSr. Machine Learning Engineer, Cell ManufacturingAustin, TXConduct in-depth statistical analysis and feature engineering on complex time-series sensors and process datasets while preventing issues like temporal or batch leakage. Benefits: Along with competitive pay as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Medical plans: Plan options with 0 payroll deduction.
Machine Learning Engineer Active Secret Clearance Striveworks IncMachine Learning Engineer Active Secret ClearanceAustin, TX$140,000–$165,000 / yearStriveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. As a Machine Learning Engineer at Striveworks, you'll be challenged-and trusted-on day one to be a core contributor to both the customer-driven projects and the enduring products of the company.
Machine Learning for Physical Design Intern - CPU/AI Hardware Tenstorrent University JobsMachine Learning for Physical Design Intern - CPU/AI HardwareAustin, TexasAs the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. The student coming into this role will develop ML-based tools and flows to improve the PPA (Performance Power Area) and turnaround time for all aspects of chip implementation from synthesis to tapeout for various IPs.
Sr. Machine Learning Engineer - Finance Apple IncSr. Machine Learning Engineer - FinanceAustin, TXExperience applying ML algorithms for regression, classification, and anomaly detection; build generative AI and agentic solutions; implement MLOps/LLMOps including CI/CD, drift monitoring, and cloud platforms (AWS, GCP, Azure) Ability to explain technical details to non-technical audiences Understands and advocates version control, test driven development and strong CI/ CD processGraduate degree (computer science, data science, math, quantitative finance, or similar discipline) with five years experience Previous experience working in a corporate finance, accounting, or supply chain organization Understanding of or ability to learn financial statements, P&L impact, high level accounting principles, SOX and tax compliance and month-end close process Experience with front end (.js experience). This role will require you to be collaborative by learning intra-team and business process in order to build infrastructure and services to enable an effective Machine Learning practice.
Staff Machine Learning Engineer webAIStaff Machine Learning EngineerAustin, TexasOur technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs).
NewMachine Learning Engineer, ML/GenAI Evaluation Apple IncMachine Learning Engineer, ML/GenAI EvaluationAustin, TXBuild user persona-stratified benchmarks that reflect the breadth of Wallets global user population across spending patterns, locales, and document types Evaluate generative and agentic model outputs - assessing hallucination rates, faithfulness, and groundedness using LLM-as-a-judge frameworks, human evaluation protocols, and prompt regression testing Own model quality sign-off - establish the launch criteria, run final evaluations, and make the call on model readiness before any feature ships Synthesize evaluation results into clear, actionable insights that guide model development priorities and product decisions Partner with ML engineers and Quality engineers to identify failure modes early in the development cycle and close the loop between evaluation findings and model improvements Establish and evangelize evaluation best practices across the Wallet ML team, raising the quality bar for how models are tested, monitored, and maintained post-launchM.S. in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related technical field strongly preferred. Develop evaluation methodologies for robustness testing: distribution shift, out-of-distribution generalization, temporal drift, and aggressor scenarios Own fairness evaluation end-to-end - define fairness metrics appropriate to each Wallet feature, build bias test suites across protected attributes and user populations, measure disparate performance across subgroups, and gate model launches on fairness criteria with the same rigor as other conventional metrics.
Machine Learning Engineer - Strategic Data Solutions Apple IncMachine Learning Engineer - Strategic Data SolutionsAustin, TXAs an SDS MLE, you will work with teams across Apple, using data analysis and predictive modeling techniques to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers. Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelor's degree with equivalent experience.
Machine Learning Engineer Q2 Software, Inc.Machine Learning EngineerAustin, TXRESPONSIBILITIES • Design and implement machine learning algorithms and models for various business applications • Conduct research and experimentation to advance machine learning capabilities • Collaborate with cross-functional teams to integrate AI solutions into production environments • Analyze large datasets to extract meaningful insights and support data-driven decisions • Develop scalable machine learning pipelines and systems • Maintain up-to-date knowledge of emerging AI and machine learning trends • Ensure the quality and performance of AI systems through testing and validation EXPERIENCE AND KNOWLEDGE • Bachelor's degree in related field and 5-8 years relevant experience • Proven experience in ML model development and deployment • Strong knowledge of statistics, optimization, probability theory, and experimental methodologies • Proficiency in programming languages such as Python, R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • Familiarity with cloud platforms and scalable computing resources • Strong analytical, problem-solving, and collaboration skills. SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation.
Staff Machine Learning Engineer Jeppesen ForeFlight CareersStaff Machine Learning EngineerAustin, TexasThis role focuses on developing vertical ASR models optimized for high-accuracy transcription in noisy, safety-critical environments, including aviation communications, cockpit interactions, operational dispatch, maintenance coordination, and related specialized audio domains. You will work across the full ML lifecycle — data engineering, model training, evaluation, deployment, and optimization — to deliver production-grade speech intelligence capabilities integrated into ForeFlight and broader aviation platforms.
NewSenior Principal, AI Product Owner - Machine Learning Entegris IncSenior Principal, AI Product Owner - Machine LearningTX$175,000–$230,000 / yearThis is a senior, builder-level role: you'll shape the product portfolio, stand up the practice, establish governance and guardrails, and ensure the underlying data is AI-ready - partnering with business leaders, IT, data engineering, and data science to take solutions from concept to scaled production. 15+ years in enterprise data, software development practices and/or product management/ownership, including 4+ years delivering AI/ML or data products, with a track record of taking solutions to scaled production.
AI Hardware Systems Manager, Annapurna Labs, Trainium Machine Learning Fleet Operations Amazon.com IncAI Hardware Systems Manager, Annapurna Labs, Trainium Machine Learning Fleet OperationsAustin, TXThe Machine Learning Acceleration Fleet Operations Team is looking for a technical leader to manage a team of 5-10 engineers and own operations across multiple ML server platforms spanning tens of thousands of hosts globally. Partner with hardware engineering, software engineering, and product teams to prioritize debug efforts and translate fleet learnings into permanent design fixes.
Sr. Manager ASIC, Annapurna Labs - Cloud Scale Machine Learning Acceleration Team Amazon.com IncSr. Manager ASIC, Annapurna Labs - Cloud Scale Machine Learning Acceleration TeamAustin, TXAs a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations Amazon.com IncAI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet OperationsAustin, TXKey job responsibilities: • Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products • Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS • Implement and improve system level testing across the product lifecycle • Develop software which can be maintained, improved upon, documented, tested, and reused • Dive deep on issues at the intersection of hardware and software. We are seeking an engineer who is comfortable debugging emergent problems in GPU and server hardware, writing scripts in languages such as Python or Bash, running large scale experiments on a fleet of complex hardware, developing data infrastructure and analyzing trends, and developing automation software to scale operations.
Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Amazon.com IncSr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna LabsAustin, TXOur Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.
Staff Machine Learning Engineer - ML Training Infrastructure General Motors CoStaff Machine Learning Engineer - ML Training InfrastructureTX$185,000–$335,300 / yearAs a Staff ML Engineer, you will operate as a technical leader across initiatives, partnering closely with machine learning engineers, research scientists, and platform teams to shape architecture, drive major technical decisions, and deliver state-of-the-art AI infrastructure that enables the future of intelligent driving technologies across General Motors vehicles. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Staff Machine Learning Engineer Active Secret Clearance Striveworks IncStaff Machine Learning Engineer Active Secret ClearanceAustin, TXRemote$200,000–$250,000 / yearBroad proficiency in programming languages common to machine learning (excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and scikit-learn) and systems programming (e.g., Go, Rust, C++, Java, Scala, etc.). Your day-to-day will include: Working with customers, engineers, and other stakeholders to define clear requirements that solve the customers' problems and leverage the capabilities of our AI operations platform.
AI Specialist - Data Science and Machine Learning Anaplan IncAI Specialist - Data Science and Machine LearningAustin, TXEffective communication and presentation skills, particularly the ability to explain complex analytical and machine learning concepts in a comprehensible manner to different audiences, from business managers to technical engineering teams. Drive Transformative Impact: Youll work with decision-makers at leading enterprise organizations, architecting solutions that impact thousands of employees and billions in revenue.
NewSr. Machine Learning Engineer Realtor.comSr. Machine Learning EngineerAustin, TXThrough its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home.
AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - US Prolific Academic LtdAI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - USAustin, TXWe are inviting experienced professionals in AI / Machine Learning Engineer leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback.
NewSenior Director- Machine Learning Visa Technology and Operations LLCSenior Director- Machine LearningAustin, TX$232,300–$406,600 / yearVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. In this role, you will provide hands-on technical leadership for multiple development teams, focusing on defining, executing, and delivering both functional and non-functional features on a scale.
NewPrincipal Machine Learning Engineer Oracle CorpPrincipal Machine Learning EngineerAustin, TX$135,200–$306,400 / yearOracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle''s differing products, industries and lines of business. In this role, you will lead analyzing model architectures to improve performance, efficiency, and scalability, while leveraging cutting-edge technologies to develop state-of-the-art AI systems and onboard frontier models.
Technology Lead | data science | Machine Learning Varite, IncTechnology Lead | data science | Machine LearningAustin, TX$57.14–$58.82 / hourExpertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. You might be a good fit if you have: • 5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
Sr. Machine Learning Engineer Revionics, Inc.Sr. Machine Learning EngineerTXBuild out new features on our Science roadmap: Agentic AI as we introduce new capabilities to our agent such as product relationships, rules management, and scenario optimization; A2A communication protocol; predictive and decision-making AI as we build out our unified forecasting and optimization capabilities; and our push to modernize legacy features and functionality. Revionics' leading retail pricing solutions leverage powerful artificial intelligence technologies, including predictive AI, conversational AI, generative AI and agentic AI, to optimize the retail pricing lifecycle and deliver real business value to our clients.
Artificial Intelligence/Machine Learning Engineer Lumen Solutions Group, Inc.Artificial Intelligence/Machine Learning EngineerAustin, TXPossesses raw knowledge and skillset through coursework with some hands-on work experience in the following areas: - Strong Python, familiarity with Java / C++ / Go for production environments. Design and build applications and AI/ML models tailored to specific use cases (e.g., predictive analytics, natural language processing, computer vision) prioritized for the AI Program.
Machine Learning Engineer / MLOps Engineer CGI IncMachine Learning Engineer / MLOps EngineerAustin, TXNTKN=c&clid=21001&Page=JobDetails&Jobid=J0626-1399&BRID=1310702〈=1 from 43.228.92.154 on June 23 2026, 00:37:10 UTC. If you are attempting to access this site using an anonymous Private/Proxy network, please disable that and try accessing site again.
Machine Learning Engineer- Senior Consultant Level Visa Technology and Operations LLCMachine Learning Engineer- Senior Consultant LevelAustin, TX$173,000–$276,900 / yearAs a Machine Learning Engineer at the Senior Consultant/Senior Manager level, you will design and develop integrated software algorithms to structure, analyze, and leverage data in product and systems applications across both structured and unstructured environments. Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.