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).
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.
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.
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).
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.
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.
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.
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.
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.
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.
NewPrincipal Engineer - Python API Development Fidelity InvestmentsPrincipal Engineer - Python API DevelopmentWestlake, TXRemote$107,000–$216,000Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. You will design, build, and evolve reliable, secure, and cost‑efficient platform capabilities—from model packaging and serving to observability and lifecycle management—working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production.
Specialty Software Engineer 4 Pinnacle Technical ResourcesSpecialty Software Engineer 4Irving, Texas$90–$92 / 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. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.
AI Solutions Automation Engineer NucorAI Solutions Automation EngineerDallas, TXThis role is primarily focused on building intelligent test automation frameworks, AI-driven quality assurance pipelines, and automated MDM solutions - leveraging machine learning and generative AI to eliminate manual effort across the software development lifecycle. Design, build, and maintain AI-powered testing automation agents that autonomously generate, execute, and evaluate test cases as an in-line part of the SDLC — integrated into CI/CD pipelines via tools such as Azure DevOps, Tosca, K6, or Playwright.
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.
Director of Product Management, AI - Remote MotiveDirector of Product Management, AI - RemoteAustin, TXRemote$187,000–$260,000 / yearYou will work alongside a star team from engineering, data science, computer vision, research & design, marketing, operations, legal, sales & customer success in a fast-paced, rapidly growing, technology environment to build intelligent experiences to shift behavior and drive ROI-positive impact for customers. Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
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.
Regional Sales Director, Midwest (Strategic) - Remote CriblRegional Sales Director, Midwest (Strategic) - RemoteDallas, TXRemote$200,000–$215,000 / yearYour focus will be on attracting top talent, nurturing growth, and empowering your team to excel in both new logo acquisition and account expansion—consistently exceeding ambitious quarterly and annual goals. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality.
NewFraud Strategy Analyst Lead USAAFraud Strategy Analyst LeadSan Antonio, TX$143,320–$273,930 / yearThis role will be an active participant in industry efforts to share and receive information, build industry partnerships and relations to formulate USAA's global fraud strategies and policies to better protect USAA from current, evolving, and future fraud threats. Knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
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).
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.
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.
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.
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.
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.
W2 Machine Learning Engineer Judge GroupW2 Machine Learning EngineerHouston, TX$150,000–$220,000 / yearThere will be no shortage of opportunities to lead, innovate, challenge the status quo, and work directly with Data Scientists, Analytics Professionals, and Business experts to build and deliver innovative, value-driven AI solutions. By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes.
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).
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.
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.
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.
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 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 - 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.
NewMachine 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.
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 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.
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.
Sr Machine Learning Engineer Amgen IncSr Machine Learning EngineerHouston, TX$164,029–$209,103 / yearIn addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of: • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models, including remote and hybrid work arrangements, where possible. Soft Skills: • Excellent analytical and troubleshooting skills • Strong verbal and written communication skills • Ability to work effectively with global, virtual teams • High degree of initiative and self-motivation • Ability to manage multiple priorities successfully • Team-oriented, with a focus on achieving team goals • Ability to learn quickly, be organized and detail oriented • Strong presentation and public speaking skills.
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.
Sr Machine Learning Engineer Yum! Brands, Inc.Sr Machine Learning EngineerPlano, TXSupport the deployment, monitoring, and ongoing maintenance of media measurement and customer modeling systems in partnership with Data Science and Engineering teams. We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics.
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.
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.
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.
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).
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.
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.