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.
ML 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).
NewCNC Machine Operator Apparent Technologies IncCNC Machine OperatorAustin, TX$20–$30 / houro Computer savvy with basic understanding of computer programming and CAD/CAM, Mastercam experience is a plus, but not required. o Supervise the machines while they execute the tasks and make any necessary adjustments to produce a better result.
NewSr. Data Scientist Vaco LLCSr. Data ScientistHouston, TX$160,000–$175,000Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual’s skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. The ideal candidate is passionate about applied AI, generative AI, and agentic AI, and thrives in an environment where they are expected to design, build, deploy, and support AI solutions in real-world production environments.
NewDirector, Enterprise AI & Databricks Platforms (GenAI / Microsoft AI) JobotDirector, Enterprise AI & Databricks Platforms (GenAI / Microsoft AI)Coppell, TX$180,000–$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. Our technology environment is centered around a modern data platform, and we’re now scaling advanced AI solutions, including generative AI, multi-agent systems, and intelligent automation to drive measurable business outcomes.
Manager, AI Strategy & Enablement JobotManager, AI Strategy & EnablementHouston, TX$150,000–$170,000 / yearThis individual will serve as a strategic advisor and technical leader, helping business stakeholders identify high-value use cases, designing scalable AI solutions, and establishing governance frameworks that ensure responsible and effective AI adoption. The ideal candidate will have experience building AI agents, deploying enterprise-grade generative AI solutions, implementing RAG architectures, and driving AI transformation initiatives that deliver measurable business outcomes.
NewData Analyst JobotData AnalystMansfield, TX$50,000–$70,000 / 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. The Data Analyst is responsible for collecting, maintaining, analyzing, and interpreting data to provide external customer feedback and deliver actionable insights internally that drive informed decision-making.
NewAzure AI / Agentic AI Architect Vaco LLCAzure AI / Agentic AI ArchitectAddison, TXRemote$75–$85JOB REQUIREMENTS Azure Agentic AI Architect (hands-on expertise) – Designing / Implementing Agent-First / Multi-Agent AI Systems | Building LLM-Based Solutions Incorporating Reasoning / Planning / Tool Use / Autonomous Decision-Making | Designing End-to-End Agentic Architectures Across Data / Application / Orchestration Layers. AI Architecture Leadership – Lead the Conceptualization / End-to-End Architecture / Full Lifecycle Delivery of Autonomous Multi-Agent AI Systems across Azure / Fabric Ecosystems | Design Agentic Patterns for Intelligent Reasoning / Task Decomposition / Dynamic Planning / Tool Invocation / Cross-System Orchestration Within Enterprise Workflows.
NewFinOps Public Cloud MSP Team Lead Vaco LLCFinOps Public Cloud MSP Team LeadPlano, TXRemote$75–$95Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual’s skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs.
MLOps Platform Engineer (SageMaker) Pinnacle Technical ResourcesMLOps Platform Engineer (SageMaker)Plano,, Texas$80–$90 / hourContractorThe specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. The ideal candidate will be responsible for designing, implementing, and maintaining machine learning operations platforms to support scalable and efficient deployment of machine learning models.
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.
NewJunior Data Scientist/Analyst/Engineer - Remote SynergisticITJunior Data Scientist/Analyst/Engineer - RemoteAustin, TXRemote$82,000–$127,000 / yearFull timeSince 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
NewData Scientist MV TransportationData ScientistDallas, TXThis role partners deeply with Operations, Technology, Product, Finance, and Executive Leadership to design and deploy analytics and AI solutions that materially improve service reliability, efficiency, and decision‑making. In addition to advanced modeling, this role serves as the enterprise champion for Agentic AI adoption , ensuring autonomous and semi‑autonomous systems are introduced responsibly, collaboratively, and with measurable operational impact.
NewEntry Level Java/Full-Stack Developer SynergisticITEntry Level Java/Full-Stack DeveloperDallas, TX$79,000–$127,000 / yearFull timeSince 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
NewSr Operations Research Scientist, Operations Modeling and Analytics American AirlinesSr Operations Research Scientist, Operations Modeling and AnalyticsFort Worth, TXOur 20+ Employee Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. This position will also be instrumental in maintaining a strong and effective partnership with Ops Planning and Network Planning teams, The Hub Control Center, IOC, and Corporate Real Estate (CRE).
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.
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, 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.
Sr. Principal Data Scientist / Machine Learning Engineer AscenttSr. Principal Data Scientist / Machine Learning EngineerPlano, TexasThe ideal candidate will have a deep understanding of data science and machine learning tools, techniques, and algorithms, coupled with a proven track record of successfully leading projects from conception to deployment. Deep understanding and practical application of various machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning, time series analysis, NLP, computer vision).
Sr. Distinguished Machine Learning Engineer Capital One Financial CorpSr. Distinguished Machine Learning EngineerPlano, TX$314,800–$359,300 / yearWhat you'll do in the role: • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems • Lead large-scale ML initiatives with the customer in mind • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale • Optimize data pipelines to feed ML models • Use programming languages like Python, Scala, C/C++ • Leverage compute technologies such as Dask and RAPID • Evangelize best practices in all aspects of the engineering and modeling lifecycles • Help recruit, nurture, and retain top engineering talent. McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
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.
NewStaff Machine Learning Engineer webAI IncStaff Machine Learning EngineerAustin, TXAbout the Role: We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). You will also be responsible for end-to-end delivery working cross functionally with other engineering functions and lead the sub-team.
NewSr. Embedded Machine Learning Engineer Allen Control SystemsSr. Embedded Machine Learning EngineerAustin, TexasThe role has two tightly linked primary responsibilities: integrating, converting, and optimizing models so they run within strict constraints on latency, memory, power, and thermal budget; and building and integrating the supporting C++ code that runs the models on device and performs any necessary pre or post processing. We are hiring a Senior Embedded Machine Learning Engineer to own the end-to-end process of taking trained machine learning models including any code supporting them and deploying them efficiently onto resource-constrained edge hardware.
NewStaff Machine Learning Engineer webAIStaff Machine Learning EngineerAustin, TexasYou will also be responsible for end-to-end delivery working cross functionally with other engineering functions and lead the sub-team. Our 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.
Applied Artificial Intelligence/ Machine Learning Lead - Vice President JPMorgan Chase & CoApplied Artificial Intelligence/ Machine Learning Lead - Vice PresidentPlano, TXAs an Applied AI/ML Vice President within Global Private Bank, you''ll own the full lifecycle of high-impact models serving clients across wealth management, lending, and advisory - from problem framing with business stakeholders to production deployment at scale. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
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 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 SamsaraStaff Machine Learning EngineerHouston, 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.
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.
NewSr. Machine Learning Engineer News CorpSr. 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.
NewExecutive Director - Applied Artificial Intelligence Machine Learning JPMorgan Chase & CoExecutive Director - Applied Artificial Intelligence Machine LearningPlano, TXJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code.
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.
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/Deep Learning Engineer(PhD, New Grad) Bot AutoMachine Learning/Deep Learning Engineer(PhD, New Grad)Houston, TexasModel Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including object detection, tracking, online mapping, and end-to-end planning. Academic Achievements : A proven track record of research publications in top-tier machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS) as a primary contributor.
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.
US|Machine Learning Engineer V StratAcuity Staffing Partners IncUS|Machine Learning Engineer VHouston, TX$80–$110 / hourIn 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.
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.
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 II Yum! Brands, Inc.Machine Learning Engineer IIPlano, TX$105,500–$132,200 / yearAs a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from customer experience optimization to supply chain management. Key Responsibilities: Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive business outcomes.
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.
Senior / Staff Machine Learning Ops Engineer WaabiSenior / Staff Machine Learning Ops EngineerDallas, TX$157,000–$234,000 / yearWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. Relevant MLOps certifications (e.g., AWS Certified Machine Learning - Specialty, DataRobot MLOps Certification) are a plus.
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 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.
Lead Machine Learning Engineer Capital One Financial CorpLead Machine Learning EngineerTX$197,300–$225,100 / yearIn this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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, TXProductionize and own the stack Communicate with stakeholders with varying technical backgrounds and business priorities about your work Share what youre learning about emerging technologies and methods to improve your teams overall technical capabilitiesGraduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelors degree with equivalent experience At least 3 years of practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions Practical experience implementing data science applications in Python or a similar programming language Theoretical understanding of machine learning algorithms and their relative strengths and weaknesses Ability to use a querying language such as SQL to extract insights from data Effective communication skills to translate complex concepts and analysis into concise, business- focused solutions Team-oriented skills and values to facilitate effective collaboration with business and technical partnersPhD in a related field (e.g., Computer Science, Statistics, Operations Research, or similar) Experience with operations research or mathematical optimization techniques (e.g., linear programming) Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact Experience with AI-assisted coding tools. Engage with stakeholders to translate ambiguous business problems into technical solutions Design data-driven solutions, balancing established techniques with custom approaches where they add value Collaborate with technical partners to implement robust real-time and batch decisioning in production Create reporting and monitor decisioning quality to maintain operational and business metric health Build end-to-end data pipelines and models to automate and improve fulfillment processes.
Machine Learning Operations Engineer II CliftonLarsonAllen LLPMachine Learning Operations Engineer IIFort Worth, TXCLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. How you'll create opportunities in this role: Assist with design and development of MLOps infrastructure to support the deployment, management, and monitoring of machine learning models within the firm.