NewMachine Learning Operations Engineer System OneMachine Learning Operations EngineerDallas, TX$120,000 / hourSystem One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering).
Machine 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.
Repair Engineer Rotating Machinery ServicesRepair EngineerHouston, TXFull timeThe Houston Repair facilities repair a wide range of critical equipment such as centrifugal compressors, steam turbines, hot gas expanders, axial compressors, helical screw compressors, power turbines and integrally geared compressors. The Repair Engineer is the recognized technical resources at the repair facility and will engage with recognized technical authorities, project management, suppliers and customer personnel as required to ensure the mechanical integrity of the repair and timelines of the repair activity.
Quality Engineer Rotating Machinery Svcs IncQuality EngineerHouston, TXFull timeThe successful candidate will partner closely with Engineering, Operations, Project Management, and Supply Chain teams to ensure compliance with customer, regulatory, and internal quality requirements while supporting the delivery of high-quality products and services. Responsibilities include leading quality investigations, facilitating problem-solving efforts, supporting product and process verification activities, analyzing quality metrics, and implementing sustainable improvements that enhance operational performance and customer satisfaction.
Quality Engineer Rotating Machinery ServicesQuality EngineerHouston, TXFull timeThe successful candidate will partner closely with Engineering, Operations, Project Management, and Supply Chain teams to ensure compliance with customer, regulatory, and internal quality requirements while supporting the delivery of high-quality products and services. Responsibilities include leading quality investigations, facilitating problem-solving efforts, supporting product and process verification activities, analyzing quality metrics, and implementing sustainable improvements that enhance operational performance and customer satisfaction.
Senior Cloud Software Engineer – .NET / Azure / Blazor (Microservices Architecture) JobotSenior Cloud Software Engineer – .NET / Azure / Blazor (Microservices Architecture)Coppell, TX$95,000–$130,000 / 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. We are seeking a Senior Cloud Software Engineer to join a growing Data Intelligence and Application Development team focused on building scalable, cloud-native enterprise solutions.
NewAI Data Engineer ApexonAI Data EngineerAustin, TXFull timeThe ideal candidate will have extensive experience administering Oracle, PostgreSQL, MySQL, and MongoDB Atlas databases while designing scalable data architectures that support Artificial Intelligence and Machine Learning initiatives. This role is heavily focused on database administration, data architecture, PL/SQL development, and AI-ready data platforms rather than DevOps or infrastructure engineering.
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.
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 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.
NewData Engineer Sparks GroupData EngineerDallas, TXThis role will work across internal and client-facing initiatives, building scalable data pipelines, supporting machine learning workflows, and enabling high-performance analytics solutions. Design, build, and optimize scalable data pipelines, ETL/ELT workflows, and cloud-based data platforms (data lakes, warehouses, lakehouses).
CONTROLS ENGINEER 2ND SHIFT OP MobilityCONTROLS ENGINEER 2ND SHIFTAustin, TXToday, OPmobility develops technological solutions across four areas of expertise: exterior and lighting systems, the integration of complex modules, technologies related to energy storage, hydrogen and electrification, and a division dedicated to the development of embedded software and digital solutions. We are committed to building inclusive teams, promoting diversity and equality, and ensuring that every application is considered fairly - because the future of mobility is built by diverse perspectives, bold ideas, and people who dare to move forward.
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.
NewElectrical Engineer Powell IndustriesElectrical EngineerHouston, TXIt is the policy of Powell Industries to promote safe working conditions for ALL employees, to make available where necessary special equipment to protect employees against specific hazards, to reduce accidents through prevention programs and to establish rules that are designed for the safety of all. Basic understanding to being very proficient at drawing reviews (i.e., acquired knowledge of specification items that Powell should take exception to and specification items that require special attention; able to accurately interpret client specifications, etc.).
NewAvionics Test and Launch Engineer II / Senior Rocket LabAvionics Test and Launch Engineer II / SeniorHouston, TXImportant information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. This role is part of the Test and Launch Engineering team at Rocket Lab which is the division responsible for testing, launch, and mission operations of Electron and Neutron launch vehicle, starting with stack testing through pre-launch processing, launch operations, and on-orbit operations.
Cybersecurity Engineer Visa Technology and Operations LLCCybersecurity EngineerAustin, TXRemote$123,700–$191,300 / yearMulticloud Security Expertise (Core Requirement) Proven ability to design, review, and implement security controls across multicloud environments, including: • Cloud Identity and Access Management (IAM), least‑privilege access, and workload identity • Network segmentation, service‑to‑service authentication, and mTLS • Cloud encryption models and key management (KMS, HSM, certificate authorities) • Experience with Cloud Security Posture Management (CSPM) and misconfiguration detection. • Application & Data Protection Strong understanding of: • API security (OAuth/OIDC, token‑based auth) • Application‑level encryption, tokenization, and hashing • Data protection across storage, database, and file‑system layers • Ability to support secure software development lifecycle (SSDLC) practices, including SAST, SCA, and SBOM Risk, Compliance & Governance: • Working knowledge of security and compliance frameworks such as PCI DSS, ISO 27001, SOC 2, GDPR, or NIST.
NewLead R&D Engineer Powell IndustriesLead R&D EngineerHouston, TXAs a manufacturer, we recruit and hire experienced and knowledgeable applicants to ensure our product is engineered, fabricated, and assembled to customer specifications! Typical office environment: may experience minor discomfort from extensive use of a computer display and keyboard; travel between buildings on campus and between campuses.
NewSenior Applications Engineer-Automation Estimating Powell IndustriesSenior Applications Engineer-Automation EstimatingHouston, TXDrive the growth of automation by helping to build and maintain long lasting relationships, inspire trust, enhancing client experience, and being a thorough leader with innovative automation solutions to meet customer needs. Responsible for the technical review and understanding of the customers’ requirements in their requests for proposals including system designs, single line drawings, site layouts, containerization, performance guarantees, availability guarantees, etc.
NewSenior Associate, Privileged Access Management Delivery Engineer KPMGSenior Associate, Privileged Access Management Delivery EngineerDallas, TX$95,855–$208,265 / yearImplement and maintain PAM capabilities including privileged credential management, session management, just-in-time access, and endpoint management (EPM)components; implement automated integration across adjacent security solutions (for example: Crowdstrike, SIEM solutions, ServiceNow); automate PAM tasks using scripting and APIs (such as PowerShell, Python, REST, and others) and integrate with enterprise platforms (that is, Active Directory, IdPs, ITSM platforms, SIEM platforms, and more). Hands on experience with Privileged Access Management delivery and engineering, with specific experience using CyberArk On-Prem and SaaS solutions; additional experience with secrets management platforms (that is, Conjur, HashiCorp) and other PAM platforms (such as Delinea, BeyondTrust) preferred.
Mgr. Biomedical Engineer University Medical Center of El PasoMgr. Biomedical EngineerEl Paso, TXThe Manager of Biomedical Engineering provides strategic leadership and operational management of the biomedical engineering program, including maintenance, repair, calibration, acquisition, and lifecycle management of all medical equipment and Real-Time Location Systems (RTLS) across the organization. Ensures safe, compliant, and cost‑effective operation of medical technology while supporting patient safety, regulatory readiness, and operational efficiency.
NewEngineer IV Marriott International, IncEngineer IVDallas, TXDisplay professional journeyman level expertise in at least three of the following areas with basic skills in the remaining: air conditioning and refrigeration, electrical, plumbing, carpentry and finish skills, mechanical, general building management, pneumatic/electronic systems and controls, and/or energy conservation. Display advanced knowledge of engineering computer programs related to preventative maintenance, energy management, and other systems, including devices that interact with such programs.
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.
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).
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.
NewDistinguished Machine Learning Engineer Capital OneDistinguished Machine Learning EngineerPlano, TexasYou’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale.
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 - 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.
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).
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.
Staff Machine Learning Engineer SamsaraStaff Machine Learning EngineerDallas, 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.
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. 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 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.
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.
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.
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.
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.
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.
Sr. 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.
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.
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.
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 - 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 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.
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 - 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.
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.
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, 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.