Senior Engineer 2: Inference Optimization Specialist

Join DigitalOcean as a Senior Engineer 2 specializing in Inference Optimizations, where you'll play a pivotal role in enhancing our machine learning infrastructure. You will collaborate with cross-functional teams to develop and implement high-performance solutions that optimize inference processes. If you are passionate about building scalable systems and h…

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.

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

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.

Maxana is on the lookout for a highly skilled Infrastructure Engineer to join our dynamic team, supporting a confidential client in the rapidly evolving field of artificial intelligence. In this pivotal role, you will be responsible for designing, implementing, and maintaining the robust platform layer that underpins large-scale machine learning (ML) training, inference, and deployment. This opportunity allows you to make a significant impact at the intersection of cloud infrastructure and ML systems.Key ResponsibilitiesDevelop and sustain the infrastructure that supports extensive ML training and inference workloads.Engage with GPU and compute infrastructure, distributed systems, and cloud-native platforms.Enhance the reliability, observability, and performance of the platform layer.Collaborate closely with senior engineers and product teams to influence architectural decisions.Take ownership of production reliability, including monitoring, incident response, and proactive risk management.Create and maintain internal tools and automation to enhance engineering operations.

Join our team at the Allen Institute for AI in Seattle, where we are dedicated to pioneering advancements in artificial intelligence research. This position requires on-site collaboration, with specific arrangements varying by team. Inquire with your recruiter for details.Our competitive salary range for this role is between $126,000 and $189,000, supplemented by an attractive bonus structure.About You:We are seeking a talented Senior Data Engineer to enhance the data infrastructure that powers our AI research initiatives. You will significantly contribute to the Semantic Scholar corpus by expanding its scope and elevating the quality of existing data. This role involves creating scalable APIs and tools that support our AI agents in their exploration of scholarly literature.Your work will bridge data engineering with applied machine learning, allowing you to manage data pipelines, design schemas, and deploy production services while implementing practical machine learning techniques—such as entity resolution and text classification—to refine data quality and enrich metadata.About Us:The Agentic Applications team at the Allen Institute for AI is dedicated to building robust, open-source systems that facilitate scientific discovery and large-scale AI research. We focus on developing high-quality structured datasets, integrating diverse content types, and enabling applications for search, citation analysis, and model training. Our team emphasizes strong engineering practices and close collaboration with Ai2’s product and research organizations to deliver tools and infrastructure utilized by millions of researchers and developers around the globe.Your Responsibilities:Enhance the coverage and quality of the Semantic Scholar corpus, including academic papers, patents, and specialized datasets.Develop and maintain scalable data pipelines for corpus integration, citation resolution, and metadata enhancement.Implement and launch machine learning models for tasks such as entity disambiguation, author linking, and topic classification.Design and improve APIs that provide structured scholarly data for academic researchers and AI workflows.Contribute to the development of dashboards and tools that assess data quality and model performance.Work collaboratively with engineering and research teams to ensure code maintainability, test coverage, and reliable deployment.

Join Anthropic as a Research Engineer specializing in Search and Knowledge Post-Training. This role offers a unique opportunity to contribute to cutting-edge AI research and development, while collaborating with a talented team in a remote-friendly setting. You will be responsible for enhancing our search capabilities and knowledge management systems, ensuring high-quality outputs that align with our mission to make AI systems more interpretable and user-friendly.

About UsAt Vercept, we are an energetic and mission-focused team with a proven history of academic excellence. Our talented researchers have made significant contributions to the field of artificial intelligence, receiving accolades such as best paper awards at leading AI conferences and achieving remarkable citation rankings. We are committed to pioneering transformative research that sets new standards in the industry and aim to revolutionize the world—one innovative breakthrough at a time.What We Seek & Why You Should Join UsWe are in search of a Backend Engineer specializing in Inference Optimization who is passionate about tackling some of the most challenging systems issues in AI. In this role, you will focus on enhancing the performance of foundation model inference, operating at the cutting edge of machine learning and high-performance systems engineering. This is an exciting opportunity to establish new standards for latency, throughput, and efficiency on a large scale.Role OverviewAs a Backend Engineer, you will take ownership of the design and optimization of inference pipelines for large-scale models. Collaborating closely with researchers and infrastructure engineers, you will identify bottlenecks and implement advanced techniques such as quantization and KV caching, ensuring the deployment of high-performance serving systems in production. Your contributions will directly influence how swiftly and cost-effectively users engage with next-generation AI.What We Expect From YouEssential Qualifications:Extensive experience in optimizing model inference pipelines, including model quantization and KV caching.Strong proficiency in backend systems and high-performance programming languages (Python, C++, or Rust).Familiarity with distributed serving, GPU acceleration, and large-scale system architectures.Proven ability to debug complex performance issues across model, runtime, and hardware layers.Adaptability to work in fast-paced environments with ambitious technical objectives.Preferred Qualifications:Practical experience with vLLM or similar inference frameworks.Background in GPU kernel optimization (CUDA, Triton, ROCm).Experience in scaling inference across multi-node or heterogeneous clusters.Prior involvement in model compilation (e.g., TensorRT, TVM, ONNX Runtime).Hands-on experience with model quantization strategies.

Individuals in this position are required to work from our Seattle offices. On-site work expectations vary by role and team. If you have inquiries regarding on-site arrangements for this position, please reach out to your recruiter.Our base salary range is between $170,000 and $220,000, complemented by generous bonus plans to ensure a competitive compensation package.About Us:We are a non-profit AI institute dedicated to pioneering foundational research and innovation in AI, delivering tangible impacts through expansive open models, data, and artifacts (e.g., Olmo, Tulu, Molmo). Our mission is to bring together the most talented scientific and engineering professionals to explore the vast potential of open AI. Through groundbreaking initiatives like the Olmo releases, we aim to empower academics, researchers, and AI developers to enhance language models and generative AI.Our team engages in diverse AI research, including pre-training and post-training language models, data curation across modalities, and the development of innovative methodologies. We rigorously study and evaluate AI models both theoretically and empirically to enhance their functionality. Additionally, we focus on creating impactful real-world applications in scientific synthesis, striving to develop state-of-the-art models for scientific discovery, reasoning, and factual recall.Your Challenge:As a core member of our research and machine learning engineering team, you will contribute to exciting projects, leveraging your hands-on experience in a fast-paced environment.

Scale AI is seeking a Senior AI Infrastructure Engineer to help build and refine the company’s Training Platform. This position centers on designing, implementing, and improving infrastructure that supports machine learning teams as they train and deploy models. Role overview This engineer will work closely with colleagues across different functions to create solutions that make AI systems more efficient. The focus is on enabling faster, more reliable model training and deployment. Key responsibilities Design and build infrastructure for AI model training Implement and optimize systems to support machine learning workflows Collaborate with teams throughout the company to improve platform capabilities Locations This role is based in San Francisco, Seattle, or New York.

WHO WE ARE?Launch Potato is a thriving digital media enterprise that attracts over 30 million monthly visitors through renowned brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, our aim is to connect consumers with leading brands through innovative, data-driven content and cutting-edge technology.Operating from our headquarters in South Florida, we embrace a remote-first culture with a diverse team spanning over 15 countries. Our high-growth, high-performance environment emphasizes speed, ownership, and measurable impact as the keys to success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, working swiftly, and creating significant impact alongside a global team of top performers.

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to harnessing the power of artificial intelligence to revolutionize drug discovery and development. Our innovative team is at the forefront of creating generative AI models that facilitate the design of protein and antibody therapeutics, enabling the development of medications targeting historically challenging molecular entities. We are also working on foundational models that enhance our understanding of biology and disease, leading to improved target identification and patient stratification. Together, these advancements strive to continuously uncover novel therapies and enhance the efficiency of drug development processes. Headquartered in the vibrant tech hubs of the San Francisco Bay Area, Seattle, and London, Xaira is positioned to make a global impact in healthcare.About the RoleWe are on the lookout for a skilled AI Research Engineer to join our dynamic team. As an integral member of our interdisciplinary unit, you will work closely with AI scientists, engineers, and drug discovery specialists to develop and implement AI models aimed at expediting the discovery and development of innovative therapeutics. This position presents an exciting opportunity to apply state-of-the-art AI methodologies in practical settings to tackle critical healthcare challenges and contribute to enhancing global health outcomes.We seek candidates with a proven track record in building and deploying machine learning systems in industrial contexts, emphasizing rigor, scalability, and cross-functional collaboration. The ideal candidate will possess experience in transforming research concepts into robust, production-ready applications that deliver measurable results.

Join Amperity as a Lead Software Development Engineer, where you will play a pivotal role in shaping our innovative software solutions. You will lead a team of talented engineers, driving the architecture and design of scalable software applications. Your expertise will guide the team through complex challenges, ensuring the delivery of high-quality products that meet our clients' needs.

At NICE, we embrace limitless challenges and constantly strive to push beyond our boundaries. We are ambitious innovators committed to excellence, and if you share our passion, we have the perfect opportunity to ignite your career.Lead Software EngineerAs a Lead Software Engineer at NICE, you will play a crucial role in designing and enhancing core services within the NICE CXone platform. This position involves creating scalable cloud systems that cater to enterprise customers around the globe. You will leverage strong software engineering principles along with modern development practices, including AI-assisted tools and workflows that expedite delivery and elevate code quality.In this role, you will collaborate extensively with product managers, system analysts, and architects, while also mentoring fellow engineers and tackling intricate platform challenges.Key ResponsibilitiesDesign, build, and maintain scalable distributed services that are essential to the NICE CXone platform.Lead the architectural design and advancement of complex systems across various services, ensuring a balance of performance, reliability, and maintainability.Develop high-quality, maintainable code and conduct insightful code reviews that elevate the overall engineering standard within the organization.Create and implement automated testing and quality assurance strategies that enhance system reliability and engineering efficiency.Collaborate with product management, system analysts, architects, and other engineering teams to devise technical solutions that deliver significant value to customers.Offer technical leadership and mentorship, assisting engineers in cultivating strong engineering judgment and ownership.Take responsibility for production systems, diagnosing issues, resolving defects, and enhancing platform stability and resilience.Advocate for contemporary engineering practices, including automation, observability, maintainable architecture, and AI-enhanced development workflows that facilitate faster development and deeper system comprehension.Engineering Culture at NICEAt NICE, we believe that exceptional engineers own outcomes. Our teams concentrate on solving impactful problems for our customers and delivering results that go beyond mere task completion.Engineers in this position are empowered to think critically, propose solutions, and make technical decisions that propel systems forward. We value creativity, iterative improvement, and teamwork in tackling complex engineering challenges.

Aetherflux builds infrastructure for space-based solar energy, working on technology that supports sustainable and continuous energy delivery from orbit to Earth. Role overview The Lead Engineer for Structures & Mechanisms oversees the design, development, and performance of the vehicle’s primary structural and mechanical systems. This position covers key hardware components such as: Airframe Propellant tanks Thrust structure Landing systems Aerodynamic surfaces Stage separation hardware The role involves making sure these systems can handle the demands of flight, landing, and rapid reuse. Balancing low mass with high reliability is a central focus. Location This position is based in Seattle, WA.

Join maximustribe as a Lead Software Engineer / Technical Lead Manager in our Growth team, where you'll play a pivotal role in driving our innovative software solutions. As a remote position, you'll collaborate with a talented team of engineers to enhance our product offerings and deliver exceptional value to our customers. This role demands a blend of technical acumen and leadership skills, enabling you to guide your team while actively participating in the development process. Your expertise will be crucial in shaping our growth strategies and ensuring the successful execution of projects.

About StripeStripe is a leading financial infrastructure platform designed to empower businesses. From the largest corporations to the most innovative startups, millions of companies leverage Stripe to facilitate payments, enhance revenue streams, and unlock new business possibilities. Our mission is to elevate the global digital economy, presenting you with a unique opportunity to contribute to impactful initiatives that reshape the future of commerce.About the TeamThe Payments ML Accelerator team is at the forefront of developing cutting-edge machine learning capabilities that drive significant advancements in Stripe's payment solutions. Our team creates sophisticated deep learning models that address complex challenges such as fraud detection and authorization optimization, delivering quantifiable results. By integrating advanced ML techniques with robust data infrastructure, we enable swift experimentation and the seamless rollout of AI-driven solutions. As a pivotal ML innovation hub, we collaborate closely with product teams to pinpoint high-impact opportunities and implement scalable solutions that can be utilized across the organization.Your Role:As a Machine Learning Engineer on our team, you'll engineer advanced ML solutions that have a direct impact on Stripe's payment products and key business metrics. Your responsibilities will encompass the entire ML lifecycle, from research and experimentation to production deployment.You will tackle high-leverage challenges requiring innovative approaches in modeling, optimization, and systems design. Whenever feasible, you’ll focus on creating reusable and extensible solutions that serve as foundational models for future capabilities.This role demands strong technical judgment, a deep understanding of contemporary ML methodologies, and the ability to transform concepts into systems that yield measurable impact. You'll partner with product and engineering teams to identify opportunities where ML can drive substantial improvements today while positioning Stripe for long-term success.Key Responsibilities:Design and implement deep learning architectures and foundational models to solve challenges across critical payment entities such as merchants, issuers, and customers.Identify high-impact opportunities and lead the long-term ML roadmap through well-defined, high-leverage initiatives.Architect scalable ML workflows to enable rapid scaling and optimized online performance.Deploy ML models...

At FieldAI, we are revolutionizing the way robots engage with the real world. Our innovative Machine Learning team based in Seattle develops risk-aware, dependable, and field-ready AI systems that address the most challenging problems in robotics, unleashing the full potential of embodied intelligence. We adopt a practical methodology that transcends standard, purely data-driven techniques or transformer-exclusive architectures, merging state-of-the-art research with real-world applications. Our solutions have achieved global deployment, and we consistently enhance model performance through rapid refinements driven by actual field use.We are on the lookout for a talented Staff AI Software Engineer specializing in Edge Model Optimization & Deployment. In this pivotal role, you will take the lead in optimizing, integrating, and deploying our machine learning models onto real robotic platforms. You will be responsible for the entire edge inference stack, including profiling and accelerating models, enhancing runtime performance across latency, throughput, memory, and power consumption. Collaborating closely with perception, autonomy, and platform teams, you will ensure the delivery of robust on-robot behavior in real-world environments. You will set the technical direction, elevate engineering standards, and guarantee that our models operate efficiently and reliably on constrained hardware in diverse settings.This is a unique opportunity to influence the future of robotic autonomy by converting cutting-edge machine learning into high-performance, production-ready edge deployments that function reliably within complex, dynamic environments on actual robots.

About GalvanickGalvanick is at the forefront of defending the industrial sector from cyber threats. Our cutting-edge detection platform safeguards critical Operational Technology (OT) systems and networks against malicious actors, including criminals and nation-states. Join our passionate startup team, backed by renowned investors such as Founders Fund, Village Global, and MaC Venture Capital, to tackle some of the most pressing cybersecurity challenges today.About the RoleWe are on the lookout for an exceptional Engineering Lead to be our inaugural hire in this pivotal role. You will be instrumental in transforming complex technical use cases into seamless product experiences. Our mission revolves around fortifying the nation’s infrastructure while delivering unparalleled value.This is your opportunity to shape the long-term product vision, spearhead feature design, and gather requirements while making informed architectural decisions. You will contribute significantly to our product roadmap and ensure that execution remains timely and efficient.We are seeking someone who thrives on solving intricate security challenges, empathizes with customer pain points, and values feedback-driven iteration. If you are enthusiastic about simplifying complexity and committed to providing an excellent product and user experience, we invite you to connect with us.What You Will Do* Ensure our engineering team operates smoothly, delivering on time and meeting customer expectations.* Oversee engineering operations, manage delivery timelines, and implement process improvements. You will lead team-level planning, ensuring timelines are realistic and progress is transparent and accountable.* Define requirements and conduct feature design to empower the engineering team with clear guidelines and actionable steps. Manage resource planning to facilitate timely execution without setbacks.* Drive the technical vision, product architecture, and infrastructure scalability. Ensure engineering processes support rapid iteration while maintaining quality and reliability.* Plan, execute, and deliver complex engineering projects on schedule and within budget constraints. You will lead delivery planning and project execution strategies.