Senior Storage Engineer

Contribute to a Safer World.At TRM Labs, we leverage blockchain analytics and artificial intelligence to empower law enforcement, national security agencies, financial institutions, and cryptocurrency enterprises in the fight against crypto-related fraud and financial crime. Our advanced blockchain intelligence and AI platforms are designed to trace transactions, identify illicit activities, build investigative cases, and establish a comprehensive view of potential threats. Trusted by leading organizations worldwide, TRM is committed to fostering a safer, more secure environment for everyone.The AI Engineering Team is dedicated to driving the development of next-generation AI applications, specifically focusing on Large Language Models (LLMs) and agentic systems. Our mission is to create resilient pipelines, high-performance infrastructure, and operational tools that facilitate the swift, safe, and scalable deployment of AI systems.We manage extensive petabyte-scale data pipelines, deliver model outputs with millisecond-level latency, and ensure observability and governance to make AI production-ready. Our team actively evaluates and integrates state-of-the-art tools in the LLM and agent domain, such as open-source stacks, vector databases, evaluation frameworks, and orchestration tools, which enhance TRM's ability to innovate more rapidly than the competition.In the role of Senior MLOps Engineer specializing in LLMOps, you will play a pivotal role in constructing and scaling the technical infrastructure required for AI and ML systems. Responsibilities include:Develop reusable CI/CD workflows for model training, evaluation, and deployment, incorporating tools like Langfuse, GitHub Actions, and experiment tracking.Automate model versioning, approval processes, and compliance checks across various environments.Construct a modular and scalable AI infrastructure stack, integrating vector databases, feature stores, model registries, and observability tools.Collaborate with engineering and data science teams to integrate AI models and agents into real-time applications and workflows.Regularly assess and incorporate cutting-edge AI tools (e.g., LangChain, LlamaIndex, vLLM, MLflow, BentoML, etc.).Enhance AI reliability and governance, promoting experimentation while ensuring compliance, security, and system uptime.Optimize AI/ML model performance by ensuring data accuracy, consistency, and reliability to improve training and inference processes.Deploy infrastructure that supports both offline and online LLM evaluations.

Join Us in Building a Safer WorldAt TRM Labs, we specialize in blockchain analytics and AI solutions designed to empower law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in combating fraud and financial crime. Our innovative platforms harness blockchain intelligence and AI to trace financial flows, identify suspicious activities, and provide comprehensive threat assessments. Trusted by leading organizations globally, TRM is dedicated to creating a safer and more secure environment for all.Our AI Engineering Team focuses on pioneering next-generation AI applications, particularly in the realm of Large Language Models (LLMs) and agentic systems. Our goal is to develop resilient pipelines and high-performance infrastructures that facilitate the swift, safe, and scalable deployment of AI systems.We manage vast data pipelines, ensure rapid model serving, and maintain the observability and governance essential for making AI production-ready. Our team is actively engaged in evaluating and integrating state-of-the-art tools within the LLM and agent ecosystem, including open-source frameworks, vector databases, and orchestration tools that enhance TRM’s innovative capabilities.As a Staff MLOps Engineer concentrating on LLMOps, you will play a pivotal role in constructing and scaling the technical infrastructure for our AI/ML systems. Your responsibilities will include:Developing reusable CI/CD workflows for model training, evaluation, and deployment, incorporating tools like Langfuse, GitHub Actions, and experiment tracking.Automating model versioning, approval workflows, and compliance checks across various environments.Building modular and scalable AI infrastructure stacks, including vector databases, feature stores, model registries, and observability tools.Collaborating with engineering and data science teams to integrate AI models and agents into real-time applications and workflows.Continuously assessing and adopting cutting-edge AI tools (e.g., LangChain, LlamaIndex, vLLM, MLflow, BentoML).Enhancing AI reliability and governance to enable experimentation while ensuring compliance, security, and operational uptime.Improving AI/ML model performance, ensuring data accuracy, consistency, and reliability for superior model training and inference.Deploying infrastructure to support both offline and online evaluations of LLMs.

Hayden AI builds mobile perception systems that help transit agencies and city governments address real-world challenges. The team focuses on computer vision to improve bus lane and bus stop enforcement, modernize transportation technology, and support safer, more sustainable streets. The MLOps Engineer will join the Perception Deep Learning team in San Francisco, working in a hybrid model (at least three days per week in the office). This role centers on building and advancing Hayden AI’s machine learning platform, collaborating with perception, deep learning, and platform engineers to create infrastructure for training and deploying ML models. The position involves shaping the architecture for data ingestion, training pipelines, deployment, monitoring, and governance. What you will do Design, implement, and maintain cloud-based workflows for deploying and managing AI models. Work with cross-functional teams to identify workflow bottlenecks and deliver solutions that improve efficiency. Deploy new features and updates quickly while maintaining quality and reliability, and apply cost-saving strategies to optimize infrastructure spending. Stay up to date with new MLOps tools and technologies, integrating them to improve ML workflows. Participate in the team’s software development process, including design and code reviews, brainstorming, and maintaining accurate documentation. Requirements Bachelor’s degree and 3-4 years of experience in a related field.

This is a hybrid position based in our Bay Area (SF or Palo Alto) or Chicago offices, requiring in-office attendance on Tuesdays and Thursdays.Why Join Us?At Grindr, we believe AI has the potential to transform the dating landscape. As a Staff MLOps Engineer, you will be pivotal in developing and managing the infrastructure, tools, and scalable systems that empower impactful AI initiatives. You will architect and maintain the platforms facilitating data ingestion, feature computation, model training, automated evaluation, deployment, and continuous monitoring for our machine learning teams that craft recommendations, LLM-powered experiences, advertisements, visual searches, as well as growth, trust, and safety mechanisms. Your role will involve designing foundational systems that enable our ML engineers to innovate swiftly, deploy models reliably, and manage them confidently in production.What You Will Do:We are seeking an exceptional MLOps engineer passionate about enabling ML at scale, with experience handling over 6 million daily active users and hundreds of millions of daily interactions. You will thrive in building robust, automated pipelines, developing reliable production training and inference systems, and establishing the infrastructure and processes that enhance ML product development across our organization.In this role, you will define and implement the strategy for Grindr’s ML platform and oversee the end-to-end model lifecycle.Key Responsibilities:Construct and oversee end-to-end ML pipelines for data ingestion, feature computation, model training, validation, deployment, and inference, all while managing substantial data scales.Establish and oversee a feature store, ensuring feature consistency, lineage, and reuse across teams.Utilize top-tier tools for managing deployment, scheduling, and environments within the specialized realm of ML Infrastructure.Develop automated model deployment workflows that incorporate CI/CD, secure rollout strategies, and reproducibility guarantees.Implement monitoring and observability solutions for ML systems, covering data quality checks, drift detection, performance metrics, and alerting mechanisms.Support and build training environments featuring experiment tracking, distributed training, hyperparameter tuning, and artifact and environment management.Collaborate with ML engineers and data engineers to streamline workflows, enhance model iteration speed, and enforce MLOps best practices.

Merge Labs is a pioneering research laboratory dedicated to uniting biological intelligence with artificial intelligence, aiming to enhance human potential, autonomy, and overall experience. We are innovating groundbreaking methods for brain-computer interfaces that facilitate high-bandwidth interactions with the brain, seamlessly integrate advanced AI, and ensure safety and accessibility for all users.About the Team:At Merge Labs, we are developing the future of brain-computer interfaces through the integration of cutting-edge advancements in synthetic biology, neuroscience, AI, and non-invasive imaging. Our cross-functional data and software engineering team collaborates closely with wet-lab scientists, automation engineers, and data scientists to construct a digital infrastructure that expedites molecular discoveries and optimizes device performance.About the Role:We are seeking a Senior / Principal ML Engineer to lead the development and ownership of the digital infrastructure supporting Merge's extensive computational operations. In this role, you will design distributed training and inference systems, experiment tracking, and deployment frameworks, empowering data scientists to swiftly iterate on models encompassing de-novo molecular design, biophysical modeling, signal processing, and computer vision. Your architectural contributions will transform research prototypes into production-ready systems, enhancing the speed, rigor, and fluidity of every computational scientist's workflow.Key Responsibilities:Develop the scientific and engineering framework for active learning and closed-loop optimization, including data ETL, machine learning modeling, and library architecture.Work alongside computational scientists to establish achievable optimization goals and encode domain-specific knowledge and constraints.Create model registries, evaluation frameworks, and automated reporting systems for benchmarking and experimental comparisons.Implement CI/CD pipelines and resource orchestration using tools like Kubernetes, Ray, or Slurm.Define and manage the ML engineering roadmap, providing mentorship to other computational scientists while establishing best practices for code quality, testing, and reproducibility.

At Crusoe, we are on a mission to drive the proliferation of energy and intelligence in the digital age. We are developing an innovative platform that enables individuals to harness the power of AI for ambitious projects, all while ensuring unparalleled scale, speed, and sustainability.Join us at the forefront of the AI revolution, where sustainable technology meets transformative cloud infrastructure. At Crusoe, you will be part of a team that is committed to meaningful innovation and making a significant impact.About the Role:We are looking for a Senior to Senior Staff level Solutions Engineer to collaborate closely with our key enterprise clients as they deploy AI and machine learning workloads on Crusoe's cutting-edge GPU infrastructure. This role is hands-on and customer-centric, requiring extensive technical knowledge in Kubernetes, MLOps, and cloud infrastructure.You will lead clients through the entire deployment journey, overseeing the proof of concept (PoC) process, optimizing workloads after the sale, and serving as an essential technical liaison between our clients and engineering teams. Successful candidates will possess a strong passion for AI infrastructure, be proficient in containerized environments, and have the ability to effectively translate workloads across various cloud platforms.What You'll Be Working On:Customer Enablement: Spearhead the technical onboarding and deployment of sophisticated AI/ML workloads with strategic enterprise customers—taking ownership of the PoC through to post-sales optimization.Kubernetes + MLOps Focus: Design and implement ML workloads utilizing Kubernetes-based technologies (e.g., Ray, Kubeflow) while ensuring optimal performance, scalability, and efficiency.Infrastructure-Centric Thinking: Engage directly with Crusoe infrastructure to deploy and fine-tune AI/ML workloads, guaranteeing performance at both the container and hardware levels.Cross-Cloud Translation: Assist clients in migrating and adapting workloads across AWS, Azure, and GCP, while clearly articulating the trade-offs between cloud-native and Crusoe-native strategies.Technical Storytelling: Facilitate workshops, live demonstrations, and solution reviews. Contribute to case studies, solution briefs, and blog articles that showcase real-world customer success stories.Voice of the Customer: Provide feedback to internal engineering and product teams to continuously enhance Crusoe’s platform based on practical implementation experiences.What You'll Bring to the Team:Deep Kubernetes Expertise: 7+ years of experience in building and deploying containerized applications.

At CreatorIQ, we are the leading platform for creator-driven growth, trusted by over 1,300 global brands and agencies. Our mission is to humanize business interactions and amplify the impact of individuals. We uphold our core values by being intentional, striving for excellence daily, embracing collaborative journeys, and maintaining integrity in all our endeavors. Our accolades include recognition as one of the best companies to work for in various programs, such as BuiltIn LA and NY, alongside being honored as a Fastest-Growing Company in North America by the Deloitte Technology Fast 500™ for four consecutive years. We have also received accolades from IDC MarketScape and The Forrester New Wave™. Our flexible work model promotes collaboration, innovation, and accommodates individual working preferences.Join us in our quest to revolutionize the industry with your innovative spirit and passion!Senior MLOps Engineer (Applied AI Focus)As a Senior MLOps Engineer within our Product Innovations team, you'll take on the role of technical lead for Applied MLOps, effectively connecting experimental data science with production-level efficiency. Your primary focus will be on generating ground truth, model evaluation, and decision-making regarding pre/post-processing in a scaled vector embeddings ecosystem.

Location: San Francisco, Bellevue, AmsterdamRole Overview: Are you a well-respected technical authority in Generative AI and MLOps, eager to shape the future of production AI Agentic Systems? This Senior Developer Advocate position offers a unique opportunity to take strategic ownership over developer engagement and technical discussions surrounding Agent Bricks on the Databricks Data Intelligence Platform.As a vital link between our engineering teams and the global developer community, you will enhance the careers of data scientists and AI engineers by integrating advanced research, customer insights, and best practices into scalable, production-ready reference implementations, presentations, and demos. You will play a key role in fostering a global community for AI Agentic workflows and LLMOps, with a particular focus on MLflow and Agentic System governance.More About The DevRel TeamAt Databricks, we are dedicated to empowering data and AI teams to tackle the world's toughest challenges. Our mission in Developer Relations (DevRel) is to support data practitioners, data scientists, and the wider developer ecosystem by building vibrant communities, creating exceptional content, and nurturing a truly reciprocal relationship with our users. Our primary goal is to drive awareness and adoption of the Databricks Data Intelligence Platform.The Impact You Will HaveYou will utilize your technical expertise, community-building capabilities, and market insights to drive awareness and adoption, establishing Databricks as the premier technical leader in enterprise AI governance and Agentic Systems.Strategic Roadmap Ownership: Develop and implement the global technical advocacy strategy and roadmap for a critical aspect of Databricks AI Agentic Systems (e.g., RAG Architectures, AI Agent Evaluation, or LLM Governance), ensuring alignment with product objectives and measurable metrics.Evangelism: Collaborate with field AI engineers to design and deploy production-grade reference implementations and create impactful live demonstrations that address real-world enterprise GenAI challenges, highlighting best practices in performance, evaluation, and security. You will advocate for Agent Bricks as the definitive solution to 'Take your AI to your Data.'Technical Content Scaling: Produce high-quality, actionable educational resources, including comprehensive course materials and documentation.

Astro-Mechanica is hiring a Senior Rotordynamics Engineer in San Francisco. This position centers on detailed analysis of rotordynamics systems and developing solutions to support ongoing engineering projects. What you will do Perform in-depth analyses of rotordynamics systems Develop technical solutions to address engineering challenges Work closely with cross-functional teams on project advancement Requirements Strong technical background in rotordynamics or a related engineering field Demonstrated commitment to engineering quality and precision Ability to collaborate effectively with colleagues from various disciplines

We are seeking a highly skilled Senior Mechatronics Engineer to join our innovative team at dandy in the vibrant San Francisco Bay Area. In this pivotal role, you will design and develop cutting-edge mechatronic systems that integrate mechanical, electronic, and software components. Your expertise will drive the creation of advanced products that enhance user experience and operational efficiency.Your responsibilities will include collaborating with cross-functional teams, conducting research to inform design decisions, and overseeing the prototyping and testing of mechatronic systems. You will also provide technical guidance and mentorship to junior engineers, contributing to their professional growth.

ABOUT US:At Astro Mechanica, we are pioneering the future of aerospace technology with a commitment to creating faster and more interconnected travel solutions. Our mission is to democratize high-speed flight, making supersonic travel not only flexible and accessible but also sustainable. We envision a world where rapid, on-demand global mobility is the norm for transporting people and goods. To bring this vision to life, we are fusing our advanced airframe and engine technologies, including our innovative Duality™ propulsion system, with a new operational framework that ensures supersonic transport is as efficient and economical as today’s commercial air travel. In the near term, our focus is on developing adaptable high-speed systems to bridge performance gaps for the United States government.WHO WE ARE:We are a dedicated team of passionate engineers entrenched in the aerospace sector. Our flat organizational structure encourages collaboration among generalists and specialists alike, fostering a culture where innovative ideas flourish. We operate at a rapid pace, driven by a commitment to building transformative technology in a pragmatic and skilled environment.WHO YOU ARE:Astro Mechanica is on the lookout for a seasoned Senior Mechanical Engineer who is ready to take ownership of hardware design from the conceptual phase through to production. The right candidate will possess a deep understanding of how their designs impact surrounding systems and will tackle technical challenges with a first-principles approach. Your contributions will directly influence the configuration and performance of our Duality™ engine.In this position, you will lead the journey of our cutting-edge jet engine and its subsystems from early prototypes to flight qualification, vehicle integration, and actual flight. You will embody the philosophy of testing as you fly.WHAT YOU’LL DO:Conduct design trade studies while considering system-level impacts.Complete detailed designs supported by structural, thermal, and fluid analyses.Lead design reviews and gather feedback from stakeholders.Build prototypes directly, design necessary tooling, and create work instructions.Perform hardware tests and analyze data to confirm compliance with requirements and performance metrics.Efficiently diagnose hardware issues and identify corrective actions.WHAT WE’RE LOOKING FOR:10+ years of hands-on experience with fluid dynamics and mechanical design in aerospace applications.

Join Unlimited Industries as a Senior Multidisciplinary Engineer, where you will leverage your expertise across various engineering disciplines to drive innovative solutions. In this role, you will collaborate with cross-functional teams to design, develop, and implement complex systems, contributing to the advancement of our cutting-edge projects.

Scribd, Inc. creates products such as Scribd®, Slideshare®, Everand™, and Fable, all with the goal of turning information into insight for users worldwide. The company is dedicated to broadening access to knowledge and expertise on a global level. Culture and Work Style At Scribd, authenticity and bold thinking influence daily decisions and team interactions. Employees are encouraged to share ideas, take initiative, and engage in open dialogue to solve new challenges and meet customer needs. The company’s Scribd Flex policy allows staff to choose their work location and schedule, balanced by planned in-person meetings that help maintain strong team connections. Regardless of where employees live, everyone participates in occasional onsite gatherings to foster collaboration. The company values 'GRIT', a blend of passion and perseverance for long-term goals, which shapes how teams set objectives, innovate, deliver results, and support each other. Quality Engineering Team The Quality Engineering group develops and maintains the testing infrastructure and quality tools that back Scribd’s engineering teams. Their efforts ensure code reliability and support confident releases. Collaboration extends across both the established monolithic codebase and newer microfrontend architectures, with close partnership alongside frontend and platform engineers. Role Overview The Senior Frontend Engineer in Quality Engineering will lead work to expand the quality infrastructure for Scribd’s web engineering teams. As the company moves from a monolithic application toward modular, independently tested components, including microfrontends, this role will help shape the systems that enable that transition. Currently, much of the web platform is still monolithic, with the first microfrontends just entering production. This engineer will design and enhance quality platform capabilities, aiming to increase test ownership, reliability, and developer productivity across all engineering teams.

Join Lever as a Senior Engineering Manager, where you'll lead a dedicated team that plays a critical role in maintaining our platform APIs. Your expertise will guide the development of essential services, including user management, authentication, and payment gateways, while fostering a collaborative team environment.We are passionate about building the future of hiring software, which is trusted by industry leaders such as Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify. As a part of our team, you will contribute to a culture that values innovation and growth, and be recognized in a company that has been honored as a top workplace in San Francisco and the broader United States.

About UsWe are an innovative stealth-mode company funded by a16z Speedrun, dedicated to empowering leading consumer brands to achieve exceptional growth. Our cutting-edge solutions have gained the trust of pioneering organizations like Higgsfield and Promova among others. As we expand, we seek talented individuals who are eager to make a significant impact in the realm of consumer technology. You will be part of a passionate team at a crucial juncture, thriving in an environment that champions initiative, ambition, and creative solutions.The RoleAs a Senior Backend Engineer, you will be instrumental in developing and maintaining the essential backend infrastructure that powers our products. Your responsibilities will include:Designing scalable architectures that effectively support new product features and business objectives.Leading the development, deployment, and optimization of backend services to ensure top performance, reliability, and maintainability.Collaborating with cross-functional teams to seamlessly integrate third-party platforms, APIs, and cutting-edge AI technologies.Facilitating technical discussions, providing mentorship, and sharing best practices with fellow team members.Actively contributing to the continuous enhancement of our engineering standards and development workflows.Proactively identifying and addressing complex technical challenges to ensure stable and secure operations.What We ExpectA minimum of 5 years of professional experience in backend development, showcasing a history of delivering reliable and scalable systems.Advanced expertise in server-side programming and experience in designing database-driven applications.A solid understanding of API development, systems integration, and software engineering best practices.Proven experience in building and maintaining production environments that scale effectively for real users.An independent, proactive approach to problem-solving, coupled with the ability to drive projects forward.A commitment to joining our team full-time, with a desire to grow within a fast-paced, ambitious startup.How to ApplyPlease send us a brief introduction about yourself, along with a description of a technical project or system you are most proud of. We are excited to learn how you can contribute to our vision and success.

About the PositionAs a Senior Backend Engineer at Nash, you will be instrumental in the design and development of our backend systems, services, and APIs. Collaborating closely with our CTO, co-founder, and the engineering and product teams, you will help scale our platform, enhance performance, and build a robust infrastructure that facilitates seamless logistics operations. This role presents an exciting opportunity to contribute to Nash as we create innovative products across the logistics value chain for enterprises, marketplaces, and small to medium-sized businesses (SMBs).Key ResponsibilitiesDesign, develop, and maintain high-performance, scalable backend services and APIs.Architect and implement efficient data structures and models.Optimize system performance, scalability, and security.Debug, troubleshoot, and resolve backend issues in production environments.Work closely with frontend engineers to develop seamless API integrations.Implement best practices for observability, monitoring, and logging to ensure system reliability.Collaborate both independently and as part of a team to tackle complex technical challenges.Promote best practices in documentation, testing, and maintainability.Qualifications4+ years of experience in developing and deploying scalable backend systems.Proficient in Python and related backend frameworks.Experience in designing and utilizing RESTful APIs and databases (e.g., PostgreSQL, AWS RDS).Solid understanding of cloud platforms (preferably AWS) and deployment best practices, including managed services (serverless, databases, queues) and CI/CD pipelines.In-depth knowledge of scalable system design and performance optimization.Exceptional problem-solving skills with the ability to work independently in a dynamic environment.Startup experience is advantageous but not mandatory.Preference for candidates located in the Bay Area; Nash operates a hybrid-first product team with an office in San Francisco.Bonus: Familiarity with AsyncIO and event-driven programming.

We are seeking a highly skilled Senior Security Engineer to join our innovative team at Decagon in San Francisco. In this pivotal role, you will be responsible for safeguarding our digital infrastructure and ensuring the security of our systems against potential threats. You will work closely with cross-functional teams to design and implement security solutions, conduct risk assessments, and develop incident response strategies.As a Senior Security Engineer, you will have the opportunity to leverage your expertise in security protocols, threat detection, and vulnerability management to enhance our security posture. Your contributions will be essential in creating a secure environment for our operations and clients.

Role Overview Juul Labs, Inc. is seeking a Senior Mechatronics Engineer in San Francisco, California. This position focuses on designing and developing advanced mechatronic systems for the company’s products. The role involves close collaboration with teams across different disciplines to improve product performance and reliability.

Join our dynamic team at kinelo as a Senior Product Engineer. In this role, you will leverage your extensive engineering skills to design and implement innovative product solutions that meet our customers' needs. You will collaborate closely with cross-functional teams to drive product development from concept to launch, ensuring high quality and performance standards.