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Experience Level
Experience
Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in data engineering or machine learning roles. Strong proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks like Apache Spark or Hadoop. Familiarity with machine learning frameworks such as TensorFlow or PyTorch. Excellent analytical and problem-solving skills. Strong communication and teamwork abilities.
About the job
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.
About Allen Control Systems
Allen Control Systems is a leading provider of advanced automation solutions. Our mission is to empower organizations through innovative technology and data-driven insights. We pride ourselves on fostering a collaborative and inclusive work environment where every team member can thrive and contribute to our success.
Full-time|$160K/yr - $200K/yr|Remote|Austin, Texas or Remote
Shape the Future of AI in an Unpredictable World At Striveworks, we empower organizations to leverage artificial intelligence to tackle real-world challenges in national security and business sectors. Our mission is to serve as the command center that connects data, models, and business outcomes, making the journey from deployment to ongoing optimization sea…
Full-time|$160K/yr - $200K/yr|Remote|Austin, Texas or Remote
Join Us in Revolutionizing AI for a Dynamic FutureAt Striveworks, we empower organizations to leverage artificial intelligence to tackle pressing national security and business challenges. As a pioneer in the field, we facilitate a seamless connection between data, models, and actionable business outcomes. Our team, comprised of data scientists and engineers, has dedicated itself to simplifying the transition from deployment to continuous optimization.With Striveworks, your focus will be on creating AI systems that are not just deployable, but also dependable, flexible, and scalable in the face of uncertainty. Our solutions are designed for mission-critical operations that demand models capable of performing effectively, scaling with increased workloads, and rapidly adapting to advancements in AI technology. We prioritize reliability, performance, and cost-effectiveness, enabling organizations to make informed, data-driven decisions in ever-changing environments.Your RoleAs a Senior Software Engineer at Striveworks, you will be entrusted from day one to play a pivotal role in shaping our products and company trajectory. Our flagship product, Chariot, is utilized by clients to develop, deploy, and manage production machine learning models. We seek exceptional engineers with a product-oriented mindset, proficient in Go and Python, who are eager to contribute significantly to our strategic direction. If you possess a strong technical skill set and continuously strive to push your boundaries, you are the right fit for this role. We value outcome-driven professionals over those fixated on mere requirements. Our core development themes include:Everything as CodeCloud-neutral DevelopmentUser-centric DesignHexagonal, Event-driven, Microservice ArchitectureOptimizing, Deploying, and Refining AI Models and AlgorithmsThis position offers the flexibility of a fully remote work environment or the option for hybrid/on-site work at our Austin, TX office.
Full-time|$160K/yr - $200K/yr|Remote|Austin, Texas or Remote
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.
Role Overview Striveworks is hiring a Staff Machine Learning Engineer to help shape solutions in machine learning and artificial intelligence. This role works on projects that require an active Secret Clearance, supporting sensitive initiatives where security and compliance matter. What You Will Do Work with a skilled team to design and build machine learning systems Contribute to technology that supports business objectives Apply expertise to projects requiring careful attention to security standards Location This position is based in Austin, Texas, with remote options available. Requirements Active Secret Clearance Experience in machine learning and artificial intelligence
Full-time|$140K/yr - $165K/yr|Hybrid|Austin, Texas, United States
Striveworks builds dependable AI systems for national security and business challenges. The team connects data, models, and operational needs, supporting organizations as they move from initial deployment to ongoing optimization. Their proprietary AIOps platform, Chariot, is central to delivering adaptable solutions that perform reliably in changing environments. Role overview The Machine Learning Engineer will work in Austin, Texas, contributing to both customer projects and Striveworks’ core product development. This position requires hands-on engineering with Chariot and offers the chance to influence future platform features. Collaboration is key: expect to work closely with data scientists, software engineers, and DevOps specialists to turn machine learning models into operational solutions. An active Secret clearance is required, and the role is based onsite or in a hybrid setup at the northwest Austin office. Travel may reach up to 30%. What you will do Create machine learning models and custom analytics across diverse data types, including image, video, text, geospatial, time series, and structured data. Coordinate and automate complex data engineering and analytics pipelines. Help design and implement important product features. Support customers and stakeholders through mission-critical fieldwork. Who thrives here Engineers who bring technical skill, curiosity, and a focus on results tend to succeed at Striveworks. The role suits those who blend software engineering with data science, communicate clearly, and build repeatable value into product features while keeping customer needs in focus. Location and travel Hybrid or onsite at the Striveworks office in northwest Austin, TX Travel up to 30% may be required
Full-time|$200K/yr - $250K/yr|Remote|Austin, Texas or Remote
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.
Full-time|$65K/yr - $80K/yr|Hybrid|Austin, Texas, United States
About Striveworks Striveworks develops artificial intelligence solutions that help organizations address national security and business challenges. The company connects data, models, and outcomes to streamline AI deployment and ongoing optimization. Founded by data scientists and engineers, Striveworks focuses on building AI systems that are reliable, scalable, and flexible, even when circumstances change. Striveworks products support mission-critical operations, helping organizations deploy AI models where they are needed, scale efficiently, and adapt as technology evolves. By improving reliability and performance while managing costs, Striveworks enables confident, data-driven decisions. Role Overview: Recruiting Coordinator The Recruiting Coordinator at Striveworks manages complex interview processes and helps create a positive experience for candidates. Working closely with recruiting and people operations teams, this role supports the company’s growth and hiring goals. This position suits someone who enjoys a busy environment and values taking ownership of their work. Providing a thoughtful, personalized experience to both candidates and internal stakeholders is central to the role, even as the team grows. What You Will Do Coordinate high-volume interview schedules, from initial phone screens to on-site interviews, across multiple time zones. Communicate with candidates by email and phone, providing clear updates and ensuring a smooth interview process. Maintain accurate records in the Applicant Tracking System (ATS), updating candidate stages, scorecards, and feedback to support data-driven hiring decisions. Location and Work Environment This is a hybrid role based at Striveworks’ northwest Austin, Texas office.
Full-time|$140K/yr - $165K/yr|Hybrid|Austin, Texas, United States
Striveworks brings together data scientists and engineers to help organizations solve national security and business challenges with artificial intelligence. The team focuses on making AI systems dependable, adaptable, and scalable, supporting data-driven decisions as needs and technology evolve. Their work aims to improve model performance and reduce costs in complex environments. Role overview This hybrid Data Scientist position is based in northwest Austin, Texas, and requires an active Secret Clearance. The role shapes projects and products from the ground up, representing Striveworks as a technology leader on efforts using Chariot, the company’s proprietary AIOps platform. Collaboration with data scientists, machine learning engineers, software engineers, and DevOps engineers is central, with a focus on turning machine learning models into operational solutions. Travel up to 30% may be needed. What you will do Develop and validate machine learning models and custom analytic algorithms for various data types, including image, video, text, geospatial, time series, and structured data. Build and implement AI-driven software solutions for both cloud and edge environments. Conduct fieldwork to support customers and stakeholders as required. What matters for success Strong technical abilities with a focus on delivering results. Experience applying software and data science to real-world challenges. Ability to keep customer needs central and communicate well with both technical and non-technical audiences. Comfort working in teams to identify repeatable value and translate customer feedback into insights for product teams. Willingness to travel up to 30% and work in a hybrid setting in Austin, TX. Active Secret Clearance is required for this role.
About the TeamAt Avride, we are pioneering the future of transportation through our groundbreaking autonomous vehicle and delivery robot technology. Following the successful launch of our robotaxi service in Dallas, we are on a mission to accelerate innovation and transform mobility as we know it.Our dedicated team is at the forefront of building self-driving solutions from scratch, with machine learning as the cornerstone of our development process, enabling safe and intelligent navigation. We create and deploy cutting-edge models to tackle the significant challenges in autonomous systems, utilizing advanced deep learning architectures like Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). Your contributions will be vital in enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.
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.
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.
Join our dynamic team at Striveworks as a Senior Data Scientist, where you will play a pivotal role in shaping data-driven solutions that drive business insights and innovation. In this position, you will leverage your expertise in statistical analysis, machine learning, and data modeling to extract meaningful insights from complex data sets.Your responsibilities will include developing predictive models, collaborating with cross-functional teams, and presenting findings to stakeholders to inform strategic decisions. If you have a passion for harnessing data to solve real-world problems, we want to hear from you!
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.
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.
Full-time|$160K/yr - $200K/yr|Remote|Austin, Texas or Remote
Striveworks builds AI systems that support mission-critical operations for national security and business clients. The company’s products are designed to perform reliably in unpredictable environments, enabling organizations to make data-driven decisions while controlling costs and improving system dependability. Role overview The Senior DevOps Engineer leads deployment, maintenance, and optimization of Striveworks’ software in client environments. This work covers both on-premises and cloud infrastructure, with a focus on Infrastructure-as-Code (IaC) and automation. The position involves managing the technical side of deployment projects, ensuring Striveworks’ AIOps solutions are integrated, configured, and customized to fit each customer’s needs. This role is open to candidates based in Austin, Texas or working remotely. An active Secret clearance is required. What you will do Automate Infrastructure-as-Code processes to manage virtual machines, deploy containers, and provision services and infrastructure. Deploy custom Kubernetes clusters across AWS, Azure, GCP, on-premises, and hybrid cloud environments. Collaborate with platform developers, fellow DevOps engineers, and customer-facing teams to define requirements and design solutions that address specific customer needs. Manage software deployments to commercial, unclassified, Controlled Unclassified Information (CUI), and classified Department of Defense (DoD) networks. Respond to incidents and perform initial triage for critical system faults. Who thrives in this role Engineers with strong technical skills, a collaborative mindset, and a drive to tackle complex deployments will succeed here. Experience with Infrastructure-as-Code and a focus on improving and optimizing technical systems are essential.
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.
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
Join Apptronik as a Reinforcement Learning Engineer and contribute to cutting-edge projects that push the boundaries of artificial intelligence. In this role, you will develop algorithms and systems that enhance the capabilities of robotic systems through reinforcement learning techniques.
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.
