Sr. Data Engineer (Starlink Growth)

At SpaceX, we are driven by the vision of a future where humanity thrives among the stars. As a Senior Data Engineer on our Starlink Growth team, you will play a crucial role in shaping the future of global connectivity. Your expertise will enable us to analyze and enhance the world's most advanced broadband internet system, currently serving over 8 million …

Join our dynamic team in a hybrid working environment where most US-based positions can be performed remotely, ensuring flexibility and work-life balance.Our Mission:To empower individuals by connecting them to their next outstanding opportunity.About Us:ZipRecruiter is a premier online employment marketplace, utilizing cutting-edge AI-driven matching technology to seamlessly link millions of job seekers with businesses of all sizes. Our innovative mobile, web, and email services, along with strategic partnerships with top job boards, have made ZipRecruiter the #1 rated job search application on both iOS and Android platforms.Role Overview:As a Senior Software Engineer specializing in Big Data, you will have the chance to work on large-scale applications that benefit millions of job seekers and thousands of employers. Your expertise will help us enhance our marketplace, building high-performance, scalable applications and robust data processing systems, including streaming and batch data processing, machine learning infrastructure, and much more. You will play a pivotal role in transforming lives through our essential services.We seek talented engineers who can craft maintainable, well-instrumented, and efficient code within a distributed system. You will contribute to our data-driven applications and services that power the intelligence essential to our mission.

Discover The Pokémon Company InternationalThe Pokémon Company International oversees the Pokémon brand globally outside of Asia, encompassing brand management, licensing, marketing, the Pokémon Trading Card Game, the animated television series, home entertainment, and the official Pokémon website. Since its inception in Japan in 1996, Pokémon has grown to become one of the most beloved entertainment brands for children worldwide.Explore more at corporate.pokemon.com and pokemon.com. Role OverviewPosition: Senior Automated Retail (AR) Learning & Development Program LeadRole Overview: In this pivotal position, you will architect and oversee the training programs that ensure the seamless operation of Pokémon Automated Retail kiosks at scale. You will craft and implement role-specific learning experiences tailored for our Remote Support and Field Services teams, leveraging human-centered design methodologies to empower technicians in diagnosing issues with precision, expediting case resolutions, and minimizing repeat service calls. Additionally, you will spearhead the implementation of a decentralized onboarding framework by equipping partner organizations with certified trainers.

Join SpaceX as a Mechanical Engineer specializing in Precision Machining for Starlink, where you will leverage your expertise to innovate solutions at the forefront of space technology. In this dynamic role, you will oversee the manufacturing and quality assurance processes for high-precision machined components used in our satellite RF systems. You will be tasked with developing cutting-edge manufacturing strategies to enhance quality, efficiency, and yield on rigorous timelines.

At SpaceX, we believe that a future where humanity explores the cosmos is far more thrilling than one where we do not. As we develop groundbreaking technology to make this vision a reality, our mission focuses on enabling human life on Mars. Join our team in Redmond, WA, as a Data Engineer for Starlink Growth, where you'll leverage your expertise in data analytics to drive transformative insights for the world's most advanced broadband internet system. With the largest satellite constellation providing fast, reliable internet to over 8 million users globally, your role will involve crafting strategies, metrics, tools, and processes to assess Starlink's business health. Collaborate across teams to optimize customer acquisition and utilize cutting-edge machine learning methods to translate data insights into actionable applications.

*** This position is contingent upon contract award ***OverviewSOSi is actively looking for a Senior Data Scientist to bolster our cybersecurity initiatives through advanced data science and enrichment activities. This pivotal role involves utilizing data science, machine learning, and data engineering methodologies to improve our enterprise security monitoring, threat detection, threat hunting, user and entity behavior analytics, and data correlation services integral to cyber defense operations. Key Responsibilities· Develop and implement robust data science, machine learning, and analytical models to enhance our cyber defense capabilities.· Facilitate security monitoring, threat detection, threat hunting, and User & Entity Behavior Analytics (UEBA) through sophisticated data modeling and enrichment.· Analyze and correlate data from various sources to derive actionable insights into potential threats to the enterprise.· Establish input/output requirements, data workflows, and performance metrics for products and deliverables that support cross-functional teams.· Assist in the development and integration of data engineering pipelines, automation workflows, and analytical outputs.· Employ programming and data analysis tools such as Python, JSON, C++, Java, R, or Scala.· Contribute to the deployment and operation of solutions utilizing Kubernetes and Docker.· Integrate cybersecurity data models with SIEM and SOAR platforms effectively.· Utilize MITRE ATT&CK and MITRE D3FEND frameworks to support cybersecurity analytical use cases. 

Join Opendoor as an AI/ML Platform Engineer, where you will have the opportunity to shape the future of real estate technology. In this role, you will develop and maintain cutting-edge AI and machine learning platforms that drive innovation in our processes and enhance user experience. Collaborate with cross-functional teams to design robust solutions that address real-world challenges and improve operational efficiency.

Are you excited about pushing the frontiers of artificial intelligence and machine learning? Cobot, a forward-thinking startup, is on the lookout for a skilled AI Research Engineer to become a vital part of our Foundational Models AI team. This position is perfect for those who are both researchers and builders, capable of transforming groundbreaking concepts into functional prototypes that redefine intelligent systems.In this dynamic role, you will collaborate closely with an agile team of AI researchers and engineers, delving into areas such as reinforcement learning, transformer-based architectures, and diffusion models. Your responsibilities will include designing, developing, and rapidly iterating on machine learning experiments, contributing significantly to the evolution of foundational models that will shape the future of autonomous systems and intelligent robotics.Join us in reimagining the landscape of human-robot interaction.Cobot is a collective of innovators and creators dedicated to transforming the future of human-robot interactions. We envision a world where robots seamlessly integrate into our everyday lives, functioning and adapting around us rather than the other way around.This position is based onsite at our Seattle, WA office.Cobot offers a relocation stipend for candidates moving to Seattle from over 50 miles away.

Join DigitalOcean, a leading cloud infrastructure provider, as a Senior Solutions Architect II - AI/ML. In this pivotal role, you will leverage your expertise in AI and Machine Learning to develop innovative solutions that empower our customers. You will collaborate with cross-functional teams to understand customer needs and architect solutions that drive their success.

Anduril Industries is on a mission to revolutionize military capabilities through cutting-edge technology. We harness the expertise and innovation of 21st-century companies to reshape how military systems are engineered and deployed. Our advanced Lattice OS serves as a powerful AI-driven operating system that integrates vast data streams into a real-time, 3D command and control center. In a world characterized by strategic competition, Anduril is dedicated to delivering state-of-the-art autonomy, AI, computer vision, sensor fusion, and networking solutions to the military swiftly, transforming the defense landscape in months rather than years. **About the Team** Join our Lattice Platform team, where we are committed to constructing an integrated platform that streamlines data management, task orchestration, and system interoperability. Our team comprises skilled engineers who are passionate about deploying robust solutions in real-world scenarios, ensuring that our innovations are not just experimental but have a direct impact on the front lines. Our work encompasses critical areas such as core infrastructure, distributed systems, web development, and networking, forming the backbone of Anduril's defense technology ecosystem. By uniting diverse expertise, we aim to create a scalable platform that empowers autonomous systems and data-driven decision-making across all domains of warfare, ultimately enhancing operational efficiency and technological progress. **About the Role** We are seeking multiple Senior Software Engineers to enhance our dynamic platform team. In this pivotal role, you will develop and maintain the foundational systems that drive Anduril's defense technology offerings. Your focus will be on building infrastructure, platform services, and integration components that enable our engineering teams to operate efficiently at scale. Successful candidates will be well-versed in multiple programming languages, system architecture, and collaborative problem-solving methodologies. If you are self-driven, uphold high standards, and excel in a flexible, autonomous environment, we invite you to apply.

Logic20/20 is on the lookout for a seasoned Lead MLOps Engineer to spearhead and mentor our dynamic data science teams. This role involves harnessing the power of artificial intelligence and machine learning to enhance computer vision and customer intent models. Join us in this thrilling opportunity to impact the industry by developing production-level systems through the application of advanced machine learning models.Key Responsibilities:Design and architect frameworks to predict diverse outcomes across various scenarios.Build, deploy, and enhance machine learning models to meet production standards.Collaborate closely with fellow data scientists and stakeholders on innovative projects.Develop sophisticated solutions utilizing Python.Ensure the delivery of production-grade solutions.Engage with technologies such as Hadoop, Redshift, and Spark.Translate complex business and product inquiries into actionable analytics projects.Effectively communicate insights derived from complex methodologies through clear written and verbal channels.

Our MissionAt Scale AI, we are at the forefront of the AI revolution, creating dependable AI applications that empower critical decision-making across various sectors. In the Public Sector, we transform this mission into actionable insights for our governmental clients.We are in search of a dynamic and technically proficient Product Manager to spearhead the advancement of our Public Sector Data Engine. This innovative team is driven by the belief that a versatile data engine capable of generating numerous models is of greater significance than any individual model. This role is pivotal in constructing tools that assess and enhance the computer vision and generative AI models that underpin essential national security systems. You will not merely manage a roadmap; you will be instrumental in establishing the ML Ops infrastructure that enables the government to effectively harness AI technologies. Your work will encompass both Computer Vision and Generative AI.This is a hybrid position ideal for a PM who is equally passionate about the 'why' and the 'how.' You will play a central role in our transition from a leader in data labeling to a comprehensive AI partner. You will design the vision for our ML Ops tooling, creating a streamlined 'foundational engine' that facilitates data management, curation, model development, and evaluation for our internal and external Machine Learning Teams. You will guide engineering teams through design challenges, system integrations, and the technical frameworks essential for cutting-edge model testing.

About the RoleRavenna is seeking a talented AI Engineer with a strong background in developing and deploying production-level systems. Our innovative team merges cutting-edge advancements in large language models (LLMs) with established machine learning methodologies to create intelligent product experiences that stand out in the market.This position demands solid engineering principles and an insatiable curiosity about the operational aspects of AI systems. You will be responsible for designing, constructing, and maintaining LLM-powered systems that are reliable, scalable, and seamlessly integrated into our product workflows.Your role will encompass the full technology stack, from designing AI architectures to building backend infrastructures and implementing product features. You will iterate rapidly based on user feedback and performance evaluations. At Ravenna, we emphasize robust engineering practices and expect our AI Engineers to be meticulous about system design, observability, performance, and reliability.If you are passionate about leveraging advanced AI to transform established markets, we would love to hear from you.ResponsibilitiesBuild Production AI SystemsDevelop and implement systems that seamlessly integrate LLMs into real-world product workflows, including prompt pipelines, tool integrations, and structured outputs.Design Reliable LLM ArchitecturesCreate robust systems that anticipate model limitations and potential failure modes, incorporating safeguards, retries, evaluation loops, and observability into production-ready LLM features.Develop Evaluation and Experimentation FrameworksEstablish evaluation datasets and tools to measure model performance, facilitate system design iterations, and prevent regressions as models and prompts evolve.Build Retrieval and Knowledge SystemsDesign and optimize retrieval pipelines that support LLM applications, focusing on chunking strategies, indexing methods, vector search, and enhancing the quality and speed of knowledge retrieval.Ship High-Quality Product FeaturesCollaborate with product, design, and engineering teams to develop polished features that utilize AI in user-friendly and impactful ways.Maintain Strong Engineering StandardsWrite clean, maintainable, and well-tested code. Contribute to system architecture, engage in code reviews, and participate in engineering processes to ensure platform reliability and scalability.

At Oddball, we believe that the most impactful products arise when organizations truly understand and appreciate their work. Our culture fosters continuous learning, personal growth, and the opportunity to make significant contributions within a dynamic, small company environment. We are committed to transforming lives through high-quality software solutions tailored for the federal sector. We are seeking an Applied AI / Machine Learning Engineer who is passionate about designing, developing, and implementing innovative AI-powered solutions that address real-world challenges. This role prioritizes the application of cutting-edge ML and Generative AI methods within production systems, encompassing everything from experimentation and prototyping to deployment, assessment, and iterative improvement. You will collaborate closely with engineers, designers, and product stakeholders to convert complex problems into scalable, dependable AI-driven functionalities. This is a hands-on engineering position ideal for an individual who thrives on delivering results, learning rapidly, and navigating the balance between technical excellence and practical limitations.

General Robotics is at the forefront of AI research and deployment, dedicated to creating a groundbreaking platform for general robot intelligence. Our mission is to facilitate the swift, secure, and effective deployment of general intelligence in autonomous systems and robotics, positioning us as the go-to source for AI-driven robotic solutions across a variety of applications.Position OverviewWe are excited to invite a talented Systems Engineer to our dynamic team in Redmond, WA. Our work involves the design and optimization of the infrastructure that powers our generalized robotics foundation models, covering everything from edge devices to cloud GPU clusters, with an emphasis on low latency, high throughput, and optimal resource utilization across diverse formats such as aerial, ground, and manipulation systems.Ideal candidates will possess a strong foundation in systems engineering and AI/ML infrastructure, with hands-on experience in systems programming, distributed systems architecture, GPU-accelerated computing, containerized deployments, and optimization of ML training and inference. By applying, you will have the opportunity to be considered for roles across various teams, including platform infrastructure, ML systems, and edge deployment.Systems Engineer ResponsibilitiesDesign, build, and optimize systems infrastructure for robotics workloads, encompassing edge devices and cloud GPU clusters.Develop and sustain low-latency, high-throughput pipelines for ML model training and inference.Architect and manage distributed systems to maximize resource efficiency across varied computing environments.Enhance GPU/CUDA workloads and accelerate ML frameworks (PyTorch, JAX, TensorFlow) tailored for robotics applications.Construct and maintain containerized deployment pipelines utilizing Kubernetes and Docker.Collaborate with research teams to convert model requirements into scalable, production-ready systems.Devise monitoring, profiling, and benchmarking tools to diagnose and rectify performance bottlenecks.Contribute to infrastructure tooling and initiatives for open-sourcing.QualificationsBachelor's degree in Computer Science, Computer Engineering, Robotics, or a related technical field; a Master's degree is preferred.A minimum of 1 year of experience in systems engineering, software engineering, robotics, or AI/ML systems.Proficiency in programming languages commonly used in systems engineering, as well as familiarity with AI/ML frameworks.

Location: McLean, VA or Washington, D.C. This position requires U.S. citizenship and all work must be performed within the continental United States. Role overview The Lead AI/ML Engineer at Raft leads the design, development, and deployment of artificial intelligence and machine learning systems for mission-critical settings. This role oversees the entire lifecycle of AI solutions, from initial data ingestion and model training to production rollout. Close collaboration with engineers, data scientists, and product managers is part of daily work. This position connects advanced AI capabilities with practical applications. Working with both clients and internal teams, the Lead AI/ML Engineer ensures delivery of scalable, secure, and high-performance systems that operate in both cloud and edge environments. Key responsibilities Design and build AI and machine learning systems that integrate with high-performance data platforms. Manage the full lifecycle of machine learning solutions, from development through deployment and ongoing operation. Collaborate with cross-functional teams to deliver solutions that address client needs. Raft is a defense technology company based in McLean, VA, serving U.S. military and government agencies. The team specializes in advanced AI and machine learning, focusing on autonomous data fusion and Agentic AI. Raft delivers solutions for distributed data systems and large-scale platforms, developing digital tools that serve millions of Americans. The company emphasizes a cloud-native ecosystem and practical, transformative technology. Learn more at https://TeamRaft.com.

Join MetroStar Systems as a Senior AI/ML Engineer I, where you will be at the forefront of innovative technology solutions. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop cutting-edge systems that enhance operational efficiency and drive business growth. Collaborate with a talented team to design, implement, and evaluate AI models, ensuring the highest standards of quality and performance.

At SpaceX, we are driven by a vision of a future where humanity explores the stars—an exhilarating prospect that fuels our innovation. Our team is dedicated to developing groundbreaking technologies to make this dream a reality, with a commitment to enabling human life on Mars.SENIOR ULTRA PRECISION MACHINING SPECIALIST - LEVEL 4/5As a Senior Ultra Precision Machining Specialist, you will play a pivotal role in the advancement of precision machining cells, producing parts with single-digit micron tolerances. This unique and rewarding position allows you to leverage world-class equipment, fully harness your technical expertise, and collaborate with some of the brightest minds in the industry. Our team's mission is to manufacture components that others cannot, continually pushing the limits of machining capabilities.

Forward Deployed Senior Data ScientistU.S. Citizenship is a prerequisite for this position.Join our client, a leader in developing AI-driven software platforms that enhance acquisition, logistics, supply chain, and modernization initiatives across defense and national security sectors.Their innovative technology empowers teams to consolidate fragmented operational data, utilizing advanced analytics, predictive modeling, and AI-based decision support to optimize the development, deployment, and sustainability of mission-critical capabilities.We are looking for a talented Forward Deployed Senior Data Scientist to spearhead the design, development, and implementation of AI/ML systems in active customer environments.In this dynamic role, you will engage directly with proprietary and commercial datasets to uncover pivotal operational insights, construct scalable AI solutions, and deploy systems ready for production that seamlessly integrate into existing frameworks. You will take the lead on projects from inception to deployment, collaborating intensely with research, engineering, and product teams to deliver dependable AI-enhanced capabilities that support defense operations.

About Us:At Quartermaster AI, we are committed to ensuring that the ocean is a safe and sustainably managed resource for everyone. By harnessing the power of advanced AI and robotics, we unlock capabilities that were previously unimaginable. Our innovative distributed open-ocean systems empower every vessel to sense, compute, and communicate, significantly enhancing maritime domain awareness for those who require it most.Job Description:We are seeking a talented RF and AI Systems Engineer specializing in Artificial Intelligence with a focus on RF analysis. In this pivotal role, you will develop and deploy machine learning systems that utilize Software Defined Radio (SDR) data for real-time maritime intelligence. You will collaborate with our team to construct AI models that provide contextual insights into vessel activities based on observed RF signatures. This position is perfect for individuals who excel in navigating complex and sometimes ambiguous challenges, bridging theory with practical implementation, and are motivated by the prospect of creating AI systems that operate in dynamic, constrained, and remote environments.Key Responsibilities:Conduct research, design, and implement cutting-edge machine learning models that integrate vision, RF, and acoustic signals for detection, classification, and tracking tasks.Architect sensor fusion pipelines that enable robust, redundant, and context-aware perception in dynamic settings.Work closely with domain experts and systems engineers to transform raw sensor data into actionable inputs for models.Design and manage data pipelines for multi-modal learning, including data alignment, augmentation, and preprocessing across various modalities. Optimize models and inference workflows for low-latency execution on embedded and edge computing platforms.Lead performance analysis of individual and fused modalities, driving strategies for enhancing robustness and generalization.Prototype and operationalize innovative research in sensor fusion, uncertainty modeling, and representation learning. Contribute to long-term architectural decisions regarding multi-modal AI infrastructure, tooling, and evaluation frameworks.Thoroughly document model design, training methodologies, and validation processes with precision and clarity.