Applied Scientist - Machine Learning, Experimentation & Decision Systems

Role Overview disco is hiring a Senior Machine Learning Scientist in Austin, TX. This role focuses on applying machine learning and data analysis skills to strengthen our products and uncover insights that matter. The position involves close collaboration with colleagues from different teams to develop algorithms and models that improve our offerings. What You Will Do Design and build machine learning models to support product enhancements Analyze data to identify trends and opportunities for improvement Work with cross-functional teams to integrate models into existing products Contribute expertise to shape the direction of new solutions

Special Notice This is a full-time position at webAI in Austin, TX. Employment is not tied to project awards or external funding. Role Overview webAI seeks a Senior Machine Learning Engineer to strengthen its Public Sector work. The focus: building and refining production-ready AI systems designed for secure, distributed environments. This role centers on moving models from prototype to reliable, scalable deployment, supporting government cloud platforms and edge devices, even where connectivity is limited or absent. What You Will Do Design and implement agentic workflows for multi-step reasoning, tool use, and automated decision-making in production systems. Convert research AI models into scalable systems used in real-world applications. Develop adaptive machine learning solutions using LoRA, PEFT, and on-device inference. Work with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers to create, fine-tune, and optimize models. Apply model optimization methods such as quantization, pruning, distillation, and hardware-specific acceleration. Build and manage Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases for contextual retrieval. Collaborate with multi-modal AI systems across computer vision, audio, and natural language processing domains. Improve model performance for distributed and resource-constrained environments, ensuring systems remain dependable under different connectivity scenarios. Requirements Active US Security clearance. At least 4 years of experience in applied AI, machine learning engineering, or production AI systems. Strong proficiency with PyTorch, TensorFlow, or Hugging Face Transformers. Hands-on experience deploying AI models to cloud, edge, and mobile hardware. Expertise in model compression and optimization (quantization, pruning, distillation). Background in building RAG pipelines and integrating vector databases.

About Future Secure AI Future Secure AI develops artificial intelligence solutions that address complex problems for global enterprises. The company values bold thinking, rigor, and curiosity, guided by its BRAVER values. Leadership encourages open communication and supports professional growth, recognizing that company success is tied to individual development. Role Overview The Senior Data Scientist - Applied Science joins the advanced analytics and AI division in Austin, TX. This role focuses on designing, building, and deploying machine learning systems, with a strong emphasis on large language models (LLMs) to tackle real-world challenges for enterprise clients. What You Will Do Design and implement advanced machine learning solutions, especially those involving LLMs Deploy AI systems that address significant business problems for clients across different sectors Influence the company’s AI strategy and contribute to a responsible, scalable approach Mentor junior team members and foster a culture of technical excellence and creativity What Sets This Role Apart Direct impact on AI systems used across industries Opportunities to help shape strategic direction and best practices Environment that values lifelong learning and open collaboration

About Striveworks Striveworks helps organizations use artificial intelligence to solve real-world problems, especially in national security. Founded by data scientists and engineers, the company focuses on making AI deployment and ongoing optimization simpler and more reliable. Striveworks partners with clients to build systems that adapt, scale, and perform well in unpredictable situations, supporting critical operations and informed decision-making. Role Overview: Senior Machine Learning Engineer The Senior Machine Learning Engineer will take on a key position, contributing to both customer projects and Striveworks’ core product suite. This role involves working with the Chariot AIOps platform to create solutions that bridge data, models, and operational needs. Collaboration is central: expect to work closely with data scientists, software engineers, and DevOps professionals to turn machine learning models into real operational tools. This position is open to candidates in Austin, Texas or those seeking a remote arrangement. A hybrid option is available for those near the Austin office. Main Responsibilities Work with customers, engineers, and stakeholders to define requirements that align with client needs and leverage the AI operations platform. Develop machine learning models and analytics for various types of data, including images, video, text, geospatial, time series, and structured datasets. Automate and manage complex data engineering and analytics workflows. Contribute to the design and implementation of core product features. Participate in mission-critical fieldwork as opportunities arise. Who Thrives Here This role suits engineers with a strong technical background who enjoy building customer-focused solutions and collaborating across disciplines. Effective communication, a focus on delivering repeatable value, and a drive to solve practical challenges are essential. Clearance Requirement An active Secret clearance is required for this position.

Upwork Inc. connects businesses with skilled professionals in AI, machine learning, software development, sales, marketing, customer support, finance, and accounting. The company’s platforms, including the Upwork Marketplace and Lifted, help organizations of all sizes find and manage freelance, fractional, and payrolled talent for a range of contingent work needs. Upwork supports both large enterprises and entrepreneurs in sourcing talent and implementing AI-driven solutions. The company’s network covers more than 10,000 skills, enabling clients to scale and adapt their workforce for changing business demands. Since launch, Upwork has processed over $30 billion in transactions. The company’s mission centers on expanding opportunities at every stage of work. Learn more Visit the Upwork Marketplace: upwork.com Learn about Lifted: go-lifted.com Connect on LinkedIn, Facebook, Instagram, TikTok, and X Follow Lifted on LinkedIn

Who We AreAt Arrive Logistics, we are a premier transportation and technology firm in North America, dedicated to substantial growth year after year. Our achievements reflect the strength of our exceptional team and the innovative solutions we are developing together. We prioritize delivering a meaningful work experience for our employees and have cultivated an award-winning culture that encourages personal and professional development within a fun, relaxed, and collaborative atmosphere. Now is the perfect time to join us, so read on to discover more and apply today!Who We SeekAs a Senior Machine Learning Operations Engineer at Arrive, you will play a pivotal role as a technical leader, responsible for defining, advancing, and executing our comprehensive machine learning platform strategy. This position involves driving and contributing to the quality and functionality of critical roadmap projects, which may include deploying models at scale and creating ML-powered services aimed at optimizing profitability.

Join Bumble Inc. as a Lead Machine Learning Engineer and drive innovation in our cutting-edge technology team. In this pivotal role, you will lead the design and implementation of machine learning algorithms, enhancing user experiences across our platforms. Collaborate with cross-functional teams to translate complex data into actionable insights, while mentoring junior engineers to foster growth and excellence within the team.

Join The Zebra, a celebrated Best Place to Work in Austin for four consecutive years, as we transform the way consumers connect with insurance. We are dedicated to fostering diverse teams that create an inclusive environment for everyone. Our motto, "All Stripes Welcome," reflects our commitment to valuing both traditional and unconventional backgrounds. Our team, known as Zeebs, is passionate about learning, growth, and collaboration to solve exciting challenges.As a Senior Data Scientist, you will play a pivotal role in collaborating with product managers, engineers, and analysts to identify and execute data science initiatives. You will engage in the entire data science lifecycle—ranging from data wrangling to model building, deployment, and impact analysis. At The Zebra, our data scientists are empowered to write the production code for models, with support from our software engineers, ensuring a seamless workflow.We are looking for someone who is not only technically proficient but also practical and results-driven. The ideal candidate will prioritize straightforward solutions that can be refined over time. A strong understanding of product and business dynamics is crucial for framing and addressing analytical questions effectively. Successful data scientists at The Zebra cultivate trust and clarity with stakeholders, minimizing ambiguity and driving impactful solutions for the organization.

Join Bumble Inc. as a Senior Machine Learning Engineer and contribute to our mission of creating meaningful connections. In this role, you will design, develop, and implement machine learning algorithms that enhance user experience and drive innovation. You will collaborate with cross-functional teams to deliver data-driven solutions and improve our platform's performance.

Join Apptronik as a Senior Reinforcement Learning Engineer and be at the forefront of innovation in robotics. In this pivotal role, you will design, develop, and implement advanced reinforcement learning algorithms that empower our robotic systems to learn and adapt in real-time environments. Collaborate with a talented team of engineers and researchers to push the boundaries of what is possible in autonomous robotic applications.

About UsArrive Logistics stands as a premier transportation and technology firm in North America, poised for significant growth each year. Our achievements reflect the dedication of our exceptional team and the innovative solutions we are developing together. We prioritize a rewarding work environment for our employees and have cultivated an award-winning culture that fosters personal and career advancement within a fun, relaxed, and collaborative atmosphere. Ideal CandidateWe are seeking a Senior Data Scientist who will closely collaborate with Product and Engineering teams to convert business requirements into impactful data-driven modeling solutions. This role is designed for a seasoned professional who will provide technical leadership to their team and manage the development of machine learning systems.

About Us: At webAI, we are pioneering the first comprehensive private AI platform tailored for enterprises and governments, enabling them to harness AI capabilities directly on their data. Our unique approach to artificial intelligence emphasizes specialization, sovereignty, efficiency, and sustainability, addressing real-world challenges rather than simply increasing computational demands. Our innovative technology empowers the creation of robust AI systems using minimal data, defying the conventional belief that vast datasets are essential for unlocking AI's potential. Join us to be part of a rapidly expanding team that values a dynamic and growth-focused work environment, where your contributions can lead to meaningful advancements for society.About the Role: We are in search of a highly skilled Senior Staff Machine Learning Engineer specializing in Large Language Models (LLMs) and Mixture of Experts (MoEs). The ideal candidate will possess a solid history of developing and successfully deploying cutting-edge AI models.Responsibilities: Drive the advancement and refinement of Large Language Models and Mixture of Experts systems.Collaborate effectively with interdisciplinary teams to embed machine learning models into our platform.Engage in pioneering research within the machine learning domain, focusing on enhancing the performance and efficiency of LLMs.Keep updated with the latest trends and breakthroughs in AI and machine learning, applying insights to enhance our models and practices.Mentor junior engineers, fostering knowledge sharing and promoting best practices within the team.Qualifications: Ph.D. or advanced degree in Computer Science or a related discipline.Established track record of innovation and contributions to the field, evidenced by publications or substantial industry experience.A minimum of 6 years of hands-on experience in machine learning, with specialized knowledge in Large Language Models and Mixture of Experts.Proficient programming skills in Python along with experience using machine learning frameworks such as TensorFlow and/or PyTorch.Proven ability to lead complex projects and collaborate effectively in a team-oriented environment.

Location: Austin, TXEmployment Type: Full-time, In-OfficeCompensation: Total compensation between $250,000 - $360,000. Salary of $180,000-$250,000 annually plus equity.Department: EngineeringPosition Overview:As a Senior Applied Data Scientist at Steadily, you will be pivotal in driving our Engineering team's efforts. You will analyze large datasets to identify trends and insights, leveraging refined data and internal machine learning models to enhance our product outcomes and operational efficiency. Your responsibilities will include building, evaluating, and deploying machine learning models into production, ensuring their quality and accuracy over time. We work with diverse data types, including public, proprietary, and extensive image datasets. This role offers a high level of autonomy and positions you as a trusted technical leader addressing critical business challenges. Since Steadily is in the early stages of exploring the potential of AI and ML, this position is particularly suited for scientists who thrive in ambiguous settings and are eager to determine the most impactful areas of focus.This is a full-time, in-office position based in Austin, TX.Key Responsibilities:Develop and enhance data sets and models focusing on scalability, quality, and maintainability, employing the right techniques to address business needs. Areas of focus may include estimating property risks and accurately assessing property costs using aerial image analysis.Lead the exploration and implementation of new scientific applications within our product ecosystem to improve risk prediction on both the individual and aggregate levels.Produce clean, maintainable R/Python code, upholding high standards for quality and best practices.Collaborate closely with Engineering, Product, Operations, and Business teams to design robust solutions across our systems.Deliver comprehensive metrics and visibility into model quality and performance, ensuring a rigorous scientific evaluation.

At Bumble, we strive to foster a world where every relationship is both healthy and equitable. As an integral member of our AI & Matching team, you will be at the forefront of revolutionizing how millions of individuals connect, cultivate friendships, and discover meaningful relationships. Reporting directly to our SVP of AI & Data, your contributions will be pivotal in enhancing intelligent systems that provide safe, personalized, and engaging user experiences across all our platforms. In this influential individual contributor role, your work will tangibly influence product strategies, user trust, and large-scale business outcomes. You will operate with a profound sense of ownership and curiosity, advocating for innovative machine learning methodologies while exemplifying Bumble's core values of Curiosity and Excellence. From reimagining recommendation systems to integrating responsible AI standards, your efforts will help us push boundaries while remaining respectful of our global community. AI is central to our product evolution and internal capabilities. In this position, you will not only develop and scale advanced machine learning models, but also influence how AI is thoughtfully and responsibly implemented throughout the organization.

Join our innovative team at Allen Control Systems as a Machine Learning Data Engineer. In this pivotal role, you will leverage your expertise in machine learning, data processing, and engineering to design and implement data pipelines and algorithms that enhance our data-driven initiatives. You will collaborate closely with data scientists and software engineers to deliver cutting-edge solutions that drive business insights and efficiencies.

webAI develops distributed AI infrastructure to support personalized solutions. The company emphasizes scalable and adaptable systems that process data near its source, helping protect both sensitive information and intellectual property. Its platform enables organizations to run large AI models on everyday consumer hardware while keeping embedded data secure. Integrity, accountability, resilience, and humility guide the team’s work, and webAI seeks individuals eager to shape the direction of AI technology. The AI Research Scientist role is based in downtown Austin within webAI’s Intelligence Lab. This position focuses on designing original AI models and tackling practical challenges in the field. Success depends on both creative problem-solving and the measurable impact of developed models. Collaboration with engineers and research leaders is central, and the team values frequent experimentation as they build efficient, privacy-conscious systems. Main Responsibilities Algorithm Development: Create and train new model architectures, including Transformers, State-Space Models, and Diffusion models, to address complex business needs. Experimental Design: Lead hypothesis testing, establish evaluation benchmarks, and define loss functions that align with human intent. Literature Engagement: Keep up with research on ArXiv and participate in conferences such as NeurIPS, ICML, and CVPR to apply or extend recent findings. Prototyping: Develop proof-of-concept models that demonstrate improvements in accuracy, speed, or reasoning. Knowledge Sharing: Document research outcomes and methodologies to support ongoing team learning and collaboration.

Company Overview avride builds autonomous vehicles and delivery robots, with machine learning at the core of every product. The team recently launched a robotaxi service in Dallas, and continues to design self-driving solutions from the ground up. Machine learning models, including CNNs, Transformers, and Multimodal Large Language Models, power both on-board and off-board systems, supporting safe, intelligent navigation and efficient operations. Role Overview: Senior / Staff Machine Learning Engineer avride is hiring experienced Machine Learning Engineers at Senior, Staff, and Principal levels in Austin, TX. The team welcomes both strong individual contributors and technical leaders ready to shape the future of autonomous mobility. This role focuses on solving complex challenges in autonomy, from developing deep learning models to managing large-scale datasets and deploying solutions in real-world systems. Senior-level engineers will also help set technical direction, mentor peers, and influence machine learning practices across the company. Main Responsibilities Model Development and Optimization: Design, implement, and improve deep learning models for tasks such as environmental perception and road user behavior prediction. Staff and Principal engineers will set the technical vision for model families and guide architectural choices across teams. Dataset Management: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation. Senior engineers will define standards and tools that scale across the organization. Training Pipeline Enhancement: Build efficient workflows for training, validation, and testing. This includes distributed training, hyperparameter tuning, and automated monitoring. Staff and Principal engineers will own the long-term roadmap for training infrastructure. Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across a range of hardware platforms. Location This position is based in Austin, TX.

Innovate, Deploy, and Sustain AI Solutions for a Dynamic EnvironmentAt Striveworks, we empower organizations to leverage artificial intelligence to address pressing national security and business challenges. Serving as the pivotal hub connecting data, models, and impactful business results, we simplify the journey from deployment to continuous optimization.With Striveworks, companies are not merely implementing AI; they are developing robust systems that are trustworthy, versatile, and primed for growth in an unpredictable landscape. We understand that mission-critical operations demand models that not only excel in their deployed environments but also scale with increasing workloads and swiftly adapt as AI technologies evolve. Striveworks addresses these requirements, enhancing reliability and performance while reducing costs, thus fostering informed, data-driven decision-making in fast-paced settings.The OpportunityAs a Staff Machine Learning Engineer at Striveworks, you will be entrusted from day one to play a pivotal role and serve as a technical leader directly engaging with customers on key projects and the company’s strategic direction. Your mission-critical tasks will include designing AI-driven solutions, implementing them—from data preparation and ingestion through analysis to user delivery—and shaping future platform capabilities.You are an ideal candidate if you have a strong technical foundation and a desire to push your limits. Your enthusiasm for utilizing both software engineering and data science to tackle real-world issues is paramount. You should comfortably lead a team while directly executing vital components of the project and articulating the vision and results to customers.Your daily responsibilities will encompass:Collaborating with customers, engineers, and stakeholders to establish clear requirements that address customer challenges and exploit our AI operations platform's capabilities.Converting requirements into a technical approach, comprehensive design, scoping estimate, and execution strategy.Leading project teams to ensure timely delivery of project outcomes aligned with customer business objectives while making significant individual contributions throughout the process.Designing, orchestrating, and automating sophisticated data pipelines and algorithms within contemporary architectures (cloud, event-driven, microservices, etc.).Steering the creation of machine learning models and specialized analytics applied to image, video, text, geospatial, time series, and structured data.Identifying insights, opportunities, challenges, and feedback to enhance team practices and capture reusable functionality.

Avride develops autonomous vehicles and delivery robots across the United States, building and operating both autonomous cars and delivery robots with shared core technologies. The company focuses on advancing both fields together through integrated research and engineering. Internship overview The Machine Learning Engineer Internship in Austin, TX offers hands-on work with real driving data and exposure to advanced academic research. Interns join the Perception team, which interprets raw sensor data, including cameras, LiDAR, and microphones, to construct a detailed, real-time 3D view of the environment for autonomous vehicles. Each intern works directly with a senior mentor and contributes to projects that influence the safety and performance of Avride’s systems. The internship bridges theory and practice: interns help turn new concepts and system architectures into working prototypes, then assess their effectiveness in complex, safety-critical scenarios. What you will do Four distinct internships are available within the Perception team for Summer 2026. Projects focus on 3D perception and sensor fusion challenges in autonomous driving. Long-Tail 3D Entity Recognition via Pre-Trained 2D Models Lead efforts to address long-tail entity recognition, a persistent challenge in autonomous driving, by exploring how pre-trained, open-source 2D models can enhance 3D recognition tasks. Design and run simulation-based experiments to test whether models can identify rare or infrequent objects while maintaining precision. Work closely with a mentor to prototype and refine methods for integrating 2D model features into Avride’s perception stack. Present findings, including recall and precision trade-offs, and simulation methodologies, to Avride’s research and engineering teams at the conclusion of the internship. RGB-Only 3D Perception & RGB-LiDAR Fusion Take ownership of a targeted research project aimed at improving 3D perception by reviewing current literature on RGB-only approaches and developing hypotheses to advance sensor fusion techniques.