Technical Staff Member

THE ROLE:As a pivotal member of our team, you will transform the interaction dynamics between life sciences organizations and agents. Your creativity will help craft innovative experiences that seamlessly integrate into daily workflows. You will engage with cutting-edge models and develop interfaces that empower users to harness their capabilities effectively.WHAT WE ARE LOOKING FOR:Analytical Thinkers: You possess a comprehensive approach to problem-solving, effectively balancing business and technical considerations.Technology Agnostic: You appreciate technology for its practicalities and are open to learning and adapting to new tools and ideas.Self-Motivated and Organized: You thrive in situations of ambiguity and take initiative to create meaningful impact.Product Ownership: You take responsibility for the quality and usability of the products you create, demonstrating pride in your work.Determined: You are relentless in pursuing goals, overcoming obstacles with perseverance.YOUR KEY RESPONSIBILITIES:Manage retrieval of vast document scales with diverse formats (graphs, tables, diagrams, etc.)Develop organizational interfaces to enhance collaboration with AI, integrating into everyday workflowsDesign and implement strategic planning tools involving human oversightWork directly with enterprise clients to create product experiences that automate routine tasksAssess large language models across various life science tasksEnsure government-level data security for sensitive informationConduct internet-scale data collectionDESIRABLE QUALIFICATIONS:Experience in a rapidly growing early-stage startup environment.Background in building agents or fine-tuning language models for complex tasks.Experience in developing large-scale content indexing systems.Familiarity with API development and integrations.

About Us:At Fireworks AI, we are at the forefront of generative AI infrastructure innovation. We provide cutting-edge models with unmatched inference speed and scalability, establishing ourselves as leaders in the industry. Our projects include groundbreaking function calling and multimodal models, solidifying our reputation for excellence. As a Series C company valued at $4 billion, we are backed by esteemed investors such as Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our dynamic team, composed of veterans from Meta PyTorch and Google Vertex AI, thrives on collaboration and ambition.The RoleJoin us in developing the fundamental systems that drive Fireworks AI, ranging from customer-centric APIs and product features to the distributed infrastructure facilitating AI workloads on a massive scale.This position is a comprehensive full-stack backend and infrastructure role. You will design systems, deliver products, and take ownership of the entire process from inception to deployment.What You’ll Work OnAPIs, web backend, and developer toolingModel training, fine-tuning, and inference orchestrationJob scheduling, autoscaling, and model servingBilling, enterprise features, and access controlCross-cloud infrastructure (compute, storage, networking)Global scale GPU cluster managementWhat You’ll DoDevelop and scale backend services and distributed systemsEnsure system reliability from design through productionCollaborate directly with customers to address real-world challengesEnhance performance, cost-effectiveness, and developer experienceRapidly implement AI tools to automate processesYou Might Be a Fit IfYou are eager to engage in the AI revolutionYou enjoy building infrastructure and backend systems that enhance productsYou think critically about systems, trade-offs, and their impactsYou demonstrate ownership and drive initiatives across teams

Vibecode is on a mission to make artificial intelligence accessible to 100 million more people. The team is dedicated to using advanced technology to inspire and educate, with a focus on the possibilities of AI-assisted coding. Role overview This New York City-based role centers on exploring how AI tools can influence the future of coding and design. The work involves building scalable design systems and paying close attention to visual details that set products apart. What you will do Use AI coding tools such as Cursor, Claude Code, and Codex to build and refine design systems. Work with fine design details, including subtle color distinctions (for example, #1f1f1f vs. #1d1d1d). Apply a strong sense of aesthetics and design judgment throughout your projects. Support the design process with Figma as needed. Who thrives here People who are deeply curious about technology and often pursue projects late into the night. Those with a strong work ethic who enjoy collaborating with a dedicated team and tackling challenging problems. Individuals who stay humble, take on any task, and value input from others.

About AnteriorAt Anterior, we are dedicated to revolutionizing the landscape of healthcare administration. Our mission is to ensure that healthcare operations are seamless and virtually invisible, enabling clinicians to concentrate on what truly matters - patient care. Our AI-driven platform, meticulously crafted by clinicians for clinicians, streamlines administrative tasks and enhances patient outcomes. By merging clinical knowledge with innovative technology, we are at the forefront of transforming healthcare operations through responsible AI.We are experiencing rapid growth, backed by prestigious investors such as Sequoia, New Enterprise Associates (NEA), and Neo, alongside notable angel investors including the founders of DeepMind, Google AI, and Inflection AI.At Anterior, we are committed to enhancing healthcare experiences for everyone. We strive to leverage technology in ways that make clinical decision-making as frictionless as possible.Our innovative technology is designed for large-scale clients, built on the principles of simplicity and robust foundations, ensuring that all aspects follow suit.The TeamOur engineering team at Anterior is characterized by a strong sense of product ownership and a commitment to solving significant challenges that simplify healthcare workflows. We work collaboratively in multidisciplinary teams to deliver secure, scalable, and user-centric solutions, adhering to best practices and modular design principles.We value diverse experiences and skill sets, continuously expanding our team to creatively and effectively address the challenges posed by modern healthcare.About YouYou possess a deep commitment to excellence, advocating for doing things The Right Way. You believe in the principle of Less is More and focus on the foundational elements of system design and architecture, such as pacelc and consistency guarantees. Your passion extends beyond the code you write; you are weary of over-engineered solutions and prioritize the fundamentals. With experience from dealing with complex and ineffective systems, you strive to create resilient, enduring code.We have openings across the stack, from infrastructure to frontend development. We invite you to share your proudest firefighting story during the interview, bring along your GitHub portfolio, and let's explore if we are a good match. If you are a junior developer with a passion for coding and innovation, we encourage you to apply. Share some of your work with us, and let's connect!About the RoleAs a Member of the Technical Staff at Anterior, you will take ownership of problems end-to-end, from system design to production. Your role will span across the stack (with a focus on backend), developing the core platform that facilitates clinical decision-making at scale. Daily tasks may involve:Collaborating with multidisciplinary teams to develop and deploy innovative solutions.Designing scalable systems that enhance operational efficiency in healthcare.Ensuring code quality through best practices and extensive testing.

Role Overview reflectionai is seeking a Technical Staff Member for the IT Engineering team in New York. This role focuses on designing, building, and maintaining IT infrastructure that supports the company’s work in artificial intelligence. What You Will Do Work closely with team members to develop and support IT systems Contribute to the design and implementation of infrastructure projects Help maintain reliable, scalable technology to back AI initiatives About the Team Join a group of engineers committed to advancing reflectionai’s technology. Collaboration and hands-on problem-solving are at the core of this team’s approach.

Join Deeptune’s Innovative TeamAt Deeptune, we are pioneering the development of high-fidelity training environments for AI agents, enabling them to learn real-world tasks through advanced reinforcement learning techniques. Collaborating with leading AI laboratories, we are at the forefront of training the next generation of agentic models, contributing to significant advancements in computer operations, code generation, and complex task execution.Our close-knit team of around 20 talented engineers and operators, hailing from prestigious organizations such as Anthropic, Scale AI, Palantir, Hebbia, Glean, and Retool, is based in New York City. Recently, we successfully secured $43 million in Series A funding, led by Andreessen Horowitz, with contributions from 776, Abstract Ventures, and Inspired Capital.If you are eager to tackle some of the toughest challenges at the intersection of reinforcement learning and practical AI implementation, we would love to connect with you!Learn more: Fortune Exclusive on Our Series A | a16z: Why We’re Investing in Deeptune

Role overview anterior seeks a Senior Member of Technical Staff with a strong technical background and a practical mindset. This is a fully remote role. The team emphasizes collaboration and creative approaches to overcome challenges and keep projects on track. What you will do Collaborate with engineers and other colleagues to design and develop new technologies Help implement systems that shape the future of anterior’s products Use technical expertise to tackle complex problems and deliver outcomes Remote work anterior is headquartered in New York, but this position is open to candidates working from any location.

About Us:At Modal, we empower AI teams with an unparalleled infrastructure foundation. Our platform offers instant access to GPUs, rapid container startups, and integrated storage solutions, making it seamless to train models, execute batch jobs, and deliver low-latency inference. Leading companies like Suno, Lovable, and Substack trust Modal to transition from prototypes to full-scale productions without the complexity of infrastructure management.As a dynamic and rapidly expanding team based in NYC, San Francisco, and Stockholm, we have achieved a remarkable 9-figure Annual Recurring Revenue (ARR) and recently secured a Series B funding at a valuation of $1.1 billion. Our growing customer base includes thousands who rely on us for their production AI workloads.Joining Modal means becoming part of one of the most innovative AI infrastructure companies at a pivotal moment in its growth, with abundant opportunities for personal and professional development. Our talented team includes creators of renowned open-source projects (like Seaborn and Luigi), accomplished researchers, competition medalists, and seasoned engineering and product leaders.The Role:In your role at Modal, you will play a crucial part in enhancing our cloud services, upon which our customers depend for their essential production systems. As we rapidly expand our cloud infrastructure offerings, we aim to significantly bolster our reliability while scaling our platform and customer base.We are looking for individuals who are deep systems thinkers with a passion for achieving high reliability. As our inaugural reliability-focused team member, you will have the unique opportunity to shape our reliability systems and practices and collaborate closely with our development teams.Identify and implement architectural enhancements to boost reliability, performance, and availability.Cultivate a culture of reliability throughout Modal’s engineering teams.Design and establish essential operational processes including deployments, upgrades, rollbacks, and postmortem reviews.Become an integral part of our core engineering team by participating in on-call rotations, addressing production incidents as they arise.Develop monitoring systems that guarantee superior service quality for our customers.Troubleshoot and resolve production issues across all service layers.

About SciemoSciemo is revolutionizing the consumer goods industry through advanced AI technology that empowers businesses to make quicker, smarter, and more human decisions throughout the Integrated Business Planning (IBP) process. Our platform turns chaotic, fragmented data into actionable insights, aiding decision-makers in real-time by simplifying complexity.OverviewAs a pioneering startup, Sciemo specializes in AI solutions tailored for consumer brands. We harness machine learning, generative AI, agent-based systems, and graph technologies to deliver insights in seconds and tangible business outcomes in minutes.Your RoleWe are on the lookout for a Founding Member of Technical Staff, who will serve as both a Data Scientist and a Machine Learning Engineer. In this critical position, you will be instrumental in the design, development, and deployment of the intelligence that powers our AI products. You’ll engage in a wide range of applied AI efforts, from data science and machine learning to large-scale production engineering. This dual role demands not only advanced model development expertise but also the engineering acumen to implement and sustain robust, scalable systems.You will work closely with data engineers, product leads, backend engineers, and customer-facing teams to ensure our AI systems provide measurable value in practical scenarios. As one of our initial technical team members, you will help shape our AI strategy, establish technical standards, and set best practices for scalable applied AI.Key ResponsibilitiesDevelop and Deploy AI Systems:Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or comparable).Design and implement comprehensive AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Establish automated pipelines for continuous learning, model promotion, and performance monitoring.System Architecture & Reliability:Lead the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to guarantee reproducibility and system reliability.

Join modal as a Member of Technical Staff specializing in Machine Learning Training Systems. In this role, you will contribute to the development and optimization of cutting-edge machine learning platforms that enhance the training and deployment of AI models. Collaborate with a talented team of engineers and data scientists to innovate and drive impactful solutions in the realm of artificial intelligence.

Our MissionAt Reflection AI, our mission is to create open superintelligence and ensure its accessibility for everyone.We are crafting open weight models for individuals, organizations, and even nations. Our talented team comprises AI researchers and entrepreneurs hailing from renowned institutions such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic, and more.FoundationsVision:Establish and maintain a comprehensive company-wide foundations platform that empowers every team by delivering dependable, scalable developer infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools, enabling Reflection to accelerate as we grow.What This Team DoesWe are responsible for developing and managing the essential data systems and pipelines that fuel our research, training, and production environments. This platform facilitates rapid experimentation, reliable model development, and scalable production workflows by integrating ingestion, processing, and orchestration throughout the data lifecycle.Design ingestion and orchestration patterns for both batch and streaming data workloads.Construct scalable compute and storage foundations (formats, engines, runtimes) that support extensive data processing.Guarantee reproducible pipelines through versioning, backfills, and isolated execution environments.Deliver trusted data quality, lineage, and governance signals to empower teams in making informed production decisions.Sustain predictable cost and performance through established guardrails, budgets, and ongoing system optimization.Facilitate a unified data layer that supports research, training, and production across the model development lifecycle.About the RoleYou will play a pivotal role in constructing the core data systems and pipelines that drive our research, training, and production environments. Your responsibilities will include designing and implementing reliable, scalable ingestion and orchestration patterns for batch and streaming workloads, developing storage and compute foundations that enable reproducible experimentation and rapid iteration, and establishing data quality and governance standards that teams can rely on for production decisions. You will also provide the foundational data layer that unifies ingestion, processing, and workflow management throughout model development.

Our MissionAt Reflection AI, our mission is to develop open superintelligence accessible to everyone.We are creating open weight models for individuals, enterprises, agents, and nation-states. Our diverse team includes AI researchers and industry veterans from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.FoundationsVision: We aim to establish and maintain a company-wide foundational platform designed to enhance every team by offering dependable, scalable development infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools. This enables Reflection to expedite its growth as we scale.What This Team DoesOur team builds and manages the essential platform layer that every engineering team relies on. We craft clear, opinionated golden paths for cloud infrastructure, networking, and access patterns, ensuring that the safest and most scalable routes are also the easiest to navigate. We work across various domains including cloud infrastructure, network primitives, security protocols, and developer tools to empower engineers to deploy rapidly while ensuring reliability, security, and cost predictability.Define and uphold golden paths for cloud projects and access patterns.Implement secure defaults and guardrails, making the safe path the most straightforward option.Construct and manage core networking components such as routing, DNS, load balancing, and connectivity.Establish baseline observability and operational best practices across services and infrastructure.Oversee developer infrastructure including build systems, CI/CD, caching, and testing infrastructure to facilitate rapid shipping.Enhance cloud cost visibility and reduction through effective tooling, guardrails, and optimization strategies without hindering team progress.What You'll Work WithCloud & Multi-Cloud Architecture: GCP, AWS, multi-cloud configurations, VPC architecture, private DNS, load balancers, advanced routing (BGP), and large-scale Kubernetes clusters.Identity & Security Foundations: IAM, OIDC, RBAC, KMS, secrets management, policy-as-code (OPA, Gatekeeper), secure defaults, and cloud guardrails.Infrastructure & Automation: Terraform, Pulumi, foundational Kubernetes, CI/CD systems, Bazel, build caching, and hermetic builds.Observability & Cost Governance: Prometheus, Grafana, OpenTelemetry, and more.

Our MissionAt Reflection AI, our mission is to develop open superintelligence and make it available to everyone.We are creating open weight models that cater to individuals, agents, enterprises, and even nations. Our skilled team of AI researchers and innovators hails from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.About the RoleThe Compute Platform team at Reflection AI focuses on ensuring our compute layer is robust and highly available. Our K8s-based platform spans multiple neo-clouds, tackling complex systems challenges related to multi-cloud scheduling, node health, and performance debugging. You will collaborate closely with our training teams to design strategies for fault tolerance, health checks, and remediation processes.Key ResponsibilitiesCluster Management: Develop and maintain tools for automatic remediation, topology-aware scheduling, capacity planning, and expedited hardware debugging.Platform Engineering: Design and refine our cluster management stack to efficiently handle workloads across extensive multi-GPU fleets.Monitoring & Observability: Establish an all-encompassing monitoring system for the cluster, emphasizing durability and active performance benchmarking.Roadmap Execution: Prepare the infrastructure for next-gen GPU deployments and larger cluster sizes. In the long run, you will contribute to managing multi-cloud storage, petabyte-scale data replication, and optimizing GPU-to-GPU network performance.

Our VisionAt Reflection AI, we are dedicated to the mission of creating open superintelligence and ensuring it is accessible to everyone. Our team is committed to developing open weight models that cater to individuals, agents, enterprises, and even nation-states. Our diverse group of AI researchers and innovators hail from esteemed organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Foundational ObjectivesVision:We aim to establish and manage a company-wide foundational platform that enhances every team’s productivity by delivering dependable, scalable developer infrastructure, site reliability engineering capabilities, and high-throughput data ingestion tools—empowering Reflection AI to progress swiftly as we expand.Team ResponsibilitiesOur team is responsible for constructing and managing essential shared services that fuel our research, training, and production environments. These systems form the backbone that supports various teams in model development, deployment, and evaluation, integrating data, compute, and workflow management while facilitating rapid experimentation and robust production systems.Design and manage shared services that multiple teams utilize across research and production workflows.Establish and maintain reliability targets through Service Level Indicators (SLIs), Service Level Objectives (SLOs), and effective on-call practices.Ensure operational readiness through comprehensive runbooks, incident playbooks, and capacity planning.Guarantee correctness and performance under load, addressing issues like consistency, tail latency, and failure modes.Create APIs, SDKs, and internal platforms that support high-velocity experimentation and iteration.Minimize operational burden through enhanced tooling, standardization, and scalable platform patterns across teams.Technologies You'll Engage WithContainer Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.Service Development Stack: gRPC, Protobuf, Go, Rust, C++.Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.Your ProfileWe are looking for a talented individual with a solid background in distributed systems and a passion for building scalable solutions.

About Us:At Camber, we are dedicated to revolutionizing healthcare through innovative software solutions. Our mission is to enhance the quality and accessibility of healthcare by eliminating tedious manual tasks, allowing clinicians to concentrate on what truly matters: delivering exceptional care. To learn more about our vision, please visit our detailed write-up: What is Camber?We have successfully secured $50M in funding from prestigious investors including a16z, Craft Ventures, YCombinator, Manresa, and others who are passionate about improving healthcare accessibility. For further insights, check out: Announcing CamberCompany Culture:Our commitment to transforming behavioral health is deeply ingrained in our operations. We aim to not only innovate in behavioral health but also redefine how startups function. Here are key aspects of our culture:1) We are passionate about enhancing healthcare accessibility and quality; every member of the Camber team is devoted to supporting clinicians and patients alike.2) We believe in the power of humor. The complexities of the healthcare system can be overwhelming, and we choose to tackle them with a light-hearted approach.Role Overview:As a Senior Staff Software Engineer at Camber, you will play a crucial role in crafting reliable, high-quality software that addresses significant challenges and drives essential workflows. You will provide technical leadership, oversee comprehensive solutions, and foster growth within your team.Key Responsibilities:Lead Technical InitiativesFacilitate architectural discussions and guide technical decision-making within your team.Establish and uphold standards for quality, performance, maintainability, and scalability.Oversee End-to-End Project DeliveryLead the execution of intricate features from design through to production deployment.Ensure the reliability, performance, and scalability of all delivered solutions.Mentor and Develop Team MembersGuide engineers through pair programming, code reviews, and design discussions.Cultivate a culture of continuous learning and improvement within the team.Drive InnovationPropose and implement improvements to enhance overall process and product quality.

About Us:At Modal, we empower AI teams with robust infrastructure solutions. Our platform offers instant access to GPUs, rapid container startups, and integrated storage, enabling seamless model training, batch processing, and low-latency inference. Leading companies such as Suno, Lovable, and Substack trust Modal to transition from prototype to production effortlessly, without the complexities of infrastructure management.As a rapidly expanding organization based in New York, San Francisco, and Stockholm, we have achieved a remarkable nine-figure ARR and recently secured a Series B funding round at a valuation of $1.1 billion. Our extensive customer base, which includes industry leaders like Lovable, Scale AI, Substack, and Suno, depends on us for their production AI workloads.Joining Modal means becoming part of one of the fastest-growing AI infrastructure companies at a pivotal stage, with numerous opportunities for personal and professional growth. Our team is composed of the creators of renowned open-source projects (e.g., Seaborn, Luigi), academic scholars, international competition medalists, and seasoned engineering and product leaders with extensive experience.Your Role:We are seeking talented engineers who have a proven track record in optimizing machine learning systems for performance at scale. If you are passionate about contributing to open-source initiatives and enhancing Modal’s container runtime to improve language and diffusion models for higher throughput and reduced latency, we want to hear from you!Key Qualifications:A minimum of 5 years of experience in crafting high-quality, high-performance code.Proficient in working with PyTorch, high-level ML frameworks, and inference engines (e.g., vLLM or TensorRT).Strong understanding of Nvidia GPU architecture and CUDA programming.Hands-on experience in machine learning performance engineering, including optimizing GPU performance through techniques such as debugging SM occupancy, rewriting algorithms for compute efficiency, and minimizing host overhead.Familiarity with low-level operating system principles (Linux kernel, file systems, containers) is a plus.Willingness to work in-person at our offices in New York, San Francisco, or Stockholm.

Playground builds software to help child care providers manage their businesses more efficiently. The platform supports thousands of schools across the United States, with a focus on making high-quality child care more accessible. The company has secured millions in funding and holds several statewide contracts, reflecting strong momentum in the education technology space. Playground’s founders have been recognized on the Forbes 30 Under 30 list for their work in child care technology. The team values a culture where ownership and collaboration are central. Engineers at Playground regularly work together on challenging projects that have a direct impact on customers and the broader child care sector. Role overview This Staff Software Engineer position is based in New York City. The role centers on building and improving Playground’s core products as the company grows. Engineers here contribute to significant technical decisions and help shape the future of the platform. What you will do Work on complex software projects that support child care businesses nationwide Collaborate closely with other engineers and teams to deliver high-impact solutions Take ownership of technical challenges and contribute to a culture of shared responsibility Requirements Experience leading or contributing to large-scale software projects Ability to work effectively in a collaborative, team-driven environment Based in or willing to work from New York City

About UsAt Cohere, we're on a mission to harness and scale intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create transformative AI experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We are committed to fostering the widespread adoption of AI technologies.Our passion for excellence drives us to continuously enhance our models and the value they deliver to our clients. We thrive in a fast-paced environment where hard work and innovation are paramount to achieving the best outcomes for our users.Cohere is made up of a diverse team of researchers, engineers, designers, and more, all of whom are leaders in their fields. We believe that a variety of perspectives is essential to creating outstanding products.Join us in our quest to shape the future!Role OverviewOur rapidly expanding team of researchers and engineers is dedicated to building robust machine learning systems and enhancing the efficiency of large language model (LLM) inference. We focus on developing innovative techniques that improve production execution of models, resulting in reduced latency, increased throughput, and consistent performance across various workloads.As a member of this team, you will engage with the inference stack to enhance key performance metrics by analyzing model execution, identifying performance bottlenecks, and crafting pioneering optimizations. You will work closely with both modeling and systems teams to test, measure, and implement enhancements that significantly improve inference speed. As the team progresses, you will have the chance to deepen your knowledge in advanced performance techniques, including GPU/CUDA optimizations, kernel-level enhancements, and execution strategies for mixture of experts (MoE) and large-scale architectures.Note: Cohere has offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul, and London. We embrace a remote-friendly approach, strategically distributing teams based on interests, expertise, and time zones to enhance collaboration and flexibility. The Model Efficiency team is primarily based in the EST and PST time zones.Who You Are5+ years of experience coding high-performance, production-level softwareProficient in C++ or Python (experience in Rust/Go is also a plus)Strong understanding of machine learning concepts and frameworksExperience in optimizing ML systems for production environmentsExcellent problem-solving skills and ability to collaborate effectively in a team setting

Join Maybern as a Staff Software Engineer, where you will play a crucial role in designing and developing innovative software solutions. We are seeking a talented individual who thrives in a collaborative environment and is passionate about creating high-quality code.Your responsibilities will include leading software design, implementing scalable applications, and mentoring junior engineers. This position offers an exciting opportunity to influence the technology stack and contribute to groundbreaking projects.

At Genius Sports, we combine cutting-edge technology with premier live data to revolutionize the sports experience for fans around the globe. Our mission is to create more immersive, interactive, and personalized experiences than ever before. Discover more about us at geniussports.com.The Role - Staff Engineer - Infrastructure Platform We are on the lookout for an exceptional Staff Engineer to spearhead critical projects within our core infrastructure platform. Genius Sports is currently integrating its diverse tech teams and acquisitions under a cohesive technical strategy, and our infrastructure platform is the foundation of this transformation. Our primary objective is to empower engineering teams to efficiently build, deploy, and manage Genius Sports’ extensive product catalog in a consistent manner. In this role, you will collaborate with fellow InfraPlat leaders to define and execute the technical vision and implementation across an array of projects. These initiatives encompass multi-account and region Kubernetes clusters, MLOps, standardized deployment processes, and a centralized authentication platform. You will also engage with stakeholders from product engineering teams to assess requests, identify common challenges, and prioritize initiatives.