Machine Learning Engineer Jobs in Austin, USA

Machine Learning Engineer at Fluidstack. Apply via Ashby.

Staff Machine Learning Engineer at Webai. Apply via Ashby.

<p><strong>Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems</strong></p> <p><strong>Company Overview:</strong></p> <p>Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.</p> <p>With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. </p> <p><strong>What You'll Do:</strong></p> <ul> <li>Lead the development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.</li> <li>Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.</li> <li>Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.</li> <li>Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.</li> <li>Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.</li> <li>Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.</li> </ul> <p><strong>What You'll Need:</strong></p> <ul> <li>Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.</li> <li>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.</li> <li>6+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.</li> <li>A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.</li> <li>Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or

<p><strong>Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems</strong></p> <p><strong>Company Overview:</strong></p> <p>Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.</p> <p>With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. </p> <p><strong>What You'll Do:</strong></p> <ul> <li>Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.</li> <li>Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.</li> <li>Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.</li> <li>Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.</li> <li>Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.</li> </ul> <p><strong>What You'll Need:</strong></p> <ul> <li>Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.</li> <li>At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.</li> <li>4-7 years of experience working on machine-learning-based computer vision, ideally in the context of robotics.</li> <li>A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.</li> <li>Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.</li> <li>Experience with embedded systems and integrating computer vision algorithms into hardware.</li> <li>Familiar with various sens

<h2><strong>Build, Deploy, and Maintain AI for an Unpredictable World</strong></h2> <p>Striveworks 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. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.</p> <p>With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.</p> <h2><strong>The Role</strong></h2> <p>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. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.</p> <p>You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. </p> <p>Your day-to-day will include:</p> <ul> <li>Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data</li> <li>Orchestrating and automating complex data engineering and analytic pipelines</li> <li>Envisioning, specifying, and, at times, designing and implementing core product functionality</li> <li>Conducting mission-critical fieldwork in support of customers and other stakeholders</li> </ul> <p>This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time.</p> <h2><strong>The Right Fit</strong></h2> <p>In addition to the specific skills and

Staff Machine Learning Engineer at Webai. Apply via Ashby.

Senior Machine Learning Engineer at Webai. Apply via Ashby.

Introduction to the role & team At Bumble, we’re building a world where all relationships are healthy and equitable, and machine learning is central to how we make that real for millions of people every day. As part of our Machine Learning team, you’ll help shape intelligent systems that power meaningful connections, safer interactions, and more personalised experiences across our platform. As a Senior Machine Learning Engineer, you’ll own impactful problems end-to-end—from data exploration through to production deployment, while collaborating closely with Product, Engineering, and Data partners. You’ll bring curiosity into how we experiment, iterate, and improve, and you’ll role model our values of Curiosity and Excellence by continuously raising the bar in how we build and apply AI. AI is deeply embedded in how we evolve at Bumble. In this role, you’ll independently apply modern machine learning and emerging AI techniques, contributing to scalable systems while ensuring thoughtful, responsible use of AI in everything we ship.

Principal Machine Learning Engineer, Matching and Recommendations

Introduction to the role & team  At Bumble, our mission is to create a world where all relationships are healthy and equitable - and at the heart of that mission is our ability to build intelligent, trustworthy systems at scale. As part of the Machine Learning team, you’ll play a critical role in shaping how AI powers connection, safety, and personalisation across our products. As a Staff Machine Learning Engineer, you’ll operate as a highly autonomous technical leader, owning large, complex problem spaces and driving end-to-end machine learning systems that influence product direction and user outcomes. You’ll role model our values of Excellence and Curiosity by elevating technical standards, mentoring others, and continuously pushing the boundaries of what’s possible with AI. AI is central to how we evolve. In this role, you’ll not only build advanced ML systems, but also shape how they are designed, scaled, and responsibly applied across teams - embedding best practices that enable long-term impact.

Lead Machine Learning Engineer

Machine Learning Engineer, Senior at 9 mothers. Apply via Ashby.