NewJunior AI & Machine Learning Engineer SynergisticITJunior AI & Machine Learning EngineerAustin, TX$82,000–$136,000 / yearFull timeCurrently, 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. Since 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.
NewSr. Computer Vision Engineer DarbytekSr. Computer Vision EngineerAustin, TXLead the development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification. At least a master's degree in computer science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
LOGISTICS INTERN OP MobilityLOGISTICS INTERNAustin, 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.
NewLead Technical Program Manager VisaLead Technical Program ManagerAustin, TX$173,100–$276,800 / yearLead Technical Program Manager for Visa Commercial Solutions will provide oversight and governance on cross-functional delivery of the VCS programs & initiatives as well as ensure seamless and timely planning, prioritization and execution, leveraging the Visa Agentic Tool Chain (VATC). Partner with Product & Technology leads to drive and ensure effective Annual Operational Planning, Quarterly Product Reviews and program reviews leveraging Visa Enterprise tools (GitHub, ServiceNow, Clarity, Power BI, Jira/Jira Align).
Staff Machine Learning Engineer - Mapping GMStaff Machine Learning Engineer - MappingAustin, WashingtonBenefit 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. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
Staff Machine Learning Engineer webAI, Inc.Staff 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.
Principal AI / Machine Learning Engineer ZT SystemsPrincipal AI / Machine Learning EngineerGeorgetown, TX$141,000–$188,000 / yearPlease be aware that certain positions may require the applicant to either 1) be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or 2) be eligible to obtain an export control license or license exception from the Bureau of Industry and Science & U.S. Department of Commerce. The AI/ML Transformation Architect will be the pivotal role in shaping ZT's future-state vision for AI & ML by identifying high-impact use cases, preparing the organization structurally and technically for adoption, and driving successful implementation of applications.
Computer Vision & Machine Learning Engineer - All Levels Allen Control SystemsComputer Vision & Machine Learning Engineer - All LevelsAustin, Texas4+ years of experience in machine-learning-based computer vision, ideally in the context of robotics or autonomous systems; Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field with a strong focus on ML and computer vision. Collaborate with electrical engineers to integrate computer vision systems into the turret’s hardware architecture; contribute to hardening the prototype into a military-grade system and developing variants for different weapon systems and engagement ranges.
Machine Learning Engineer - REMOTE PTPMachine Learning Engineer - REMOTEAustin, TXRemoteWe are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. We are a diverse organization and are looking for bright, passionate, and committed professionals who strive to be the best at what they do.
Artificial Intelligence/Machine Learning Engineer 1 LancesoftArtificial Intelligence/Machine Learning Engineer 1Austin, TX$68.69DESCRIPTION OF SERVICESTexas Department of Public Safety requires the services of 1 Artificial Intelligence/Machine Learning Engineer 1, hereafter referred to as Candidate(s), who meets the general qualifications of Artificial Intelligence/Machine Learning Engineer 1, Applications/Software Development and the specifications outlined in this document for the Texas Department of Public Safety. All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Department of Public Safety and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law.
Machine Learning Engineer Q2 Software, IncMachine Learning EngineerAustin, TXNote: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager RESPONSIBILITIES • Design and implement machine learning algorithms and models for various business applications • Conduct research and experimentation to advance machine learning capabilities • Collaborate with cross-functional teams to integrate AI solutions into production environments • Analyze large datasets to extract meaningful insights and support data-driven decisions • Develop scalable machine learning pipelines and systems • Maintain up-to-date knowledge of emerging AI and machine learning trends • Ensure the quality and performance of AI systems through testing and validation EXPERIENCE AND KNOWLEDGE • Bachelor’s degree in related field and 5–8 years relevant experience • Proven experience in ML model development and deployment • Strong knowledge of statistics, optimization, probability theory, and experimental methodologies • Proficiency in programming languages such as Python, R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • Familiarity with cloud platforms and scalable computing resources • Strong analytical, problem-solving, and collaboration skills. SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation.
Sr. Embedded Machine Learning Engineer Allen Control SystemsSr. Embedded Machine Learning EngineerAustin, TexasWorking knowledge of embedded or edge platforms such as NVIDIA Jetson, Qualcomm, ARM Cortex, or comparable NPUs and SoCs, and of Linux or an RTOS; solid grasp of computer architecture concepts relevant to inference including memory hierarchy, fixed-point arithmetic, and accelerator offload; domain experience in computer vision or sensor processing on device. Design, write, and maintain the C++ application code that hosts inference on device, including pre- and post-processing pipelines, data and memory management, threading, and interfaces to the rest of the embedded system; ensure the combined model and C++ stack meets real-time constraints and fits within device memory budget.
Machine Learning Engineer NeuralinkMachine Learning EngineerAustin, TX$199,000–$331,000 / yearJob Responsibilities: Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living. Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
NewMachine Learning Engineer – Motion Planning & Prediction AvrideMachine Learning Engineer – Motion Planning & PredictionAustin, TexasHands-on experience with at least one of: behavioral or trajectory prediction, motion planning, decision-making under uncertainty, or closely adjacent autonomy work (navigation, SLAM, control, or perception-for-planning) for autonomous vehicles, mobile robots, drones, or comparable physical systems. This means working with petabytes of real driving data, building evaluation frameworks that actually correlate with on-road safety, and shipping models that run under hard latency budgets on embedded hardware.
Staff Machine Learning Engineer SteadilyStaff Machine Learning EngineerAustin, TexasFull-stack with data : You're comfortable starting from a raw, unrefined data source that no one has previously worked with, building the lightweight pipeline or dbt table to make it usable, and carrying it all the way through feature engineering, modeling, and deployment. We've also been recognized as one of the Best Landlord Insurance Companies in 2026 by CNBC , a Top 2025 Startup in Newsweek , in Investopedia's Best Landlord Insurance Companies , and we won Austin Business Journal's Best Places to Work in 2025 .
NewMachine Learning Engineer MolexMachine Learning EngineerAustin, TXFull timeEstablished in 1938, Molex delivers comprehensive electronic solutions for various markets, including data communications, telecommunications, consumer electronics, industrial, automotive, commercial vehicle, aerospace and defense, medical, and lighting. You'll join the platform team behind our Azure AI/ML engineering tools, partnering closely with data scientists, LLM engineers, and MLOps teams to keep GPU-heavy training and simulation workloads reliable and fast.
Artificial Intelligence/Machine Learning Engineer 1 Ampcus IncorporatedArtificial Intelligence/Machine Learning Engineer 1Austin, TXThe selected candidate will assist in implementing AI solutions, enterprise search capabilities, AI governance processes, and AI inventory management. We are seeking an Artificial Intelligence / Machine Learning Engineer 1 to support enterprise AI initiatives for a Texas state agency.
AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - US Prolific Academic LtdAI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - USAustin, TXWe are inviting experienced professionals in AI / Machine Learning Engineer leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback.
Staff 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.
NewMachine Learning Engineer AvrideMachine Learning EngineerAustin, TexasYou'll own problems end to end: deciding what data you need, getting it, training on it, proving the result is actually better, and getting it running inside the vehicle's constraints. Finding them, deciding what's worth labelling, and keeping the training set honest as the distribution shifts is continuous work, not a one-time setup.