Senior AI/ML Engineer at Sigma Computing | San Francisco

HeartFlow, Inc. is at the forefront of medical technology, innovating the diagnosis and management of coronary artery disease—the leading cause of death globally—through state-of-the-art technology. Our flagship offering, the HeartFlow FFRCT Analysis, is an AI-powered, non-invasive cardiac test that adheres to the ACC/AHA Chest Pain Guidelines. It generates a detailed, color-coded 3D model of a patient’s coronary arteries, illustrating the implications of blockages on heart blood flow. HeartFlow stands as the premier AI-based non-invasive integrated heart care solution throughout the CCTA pathway, assisting clinicians in identifying coronary artery stenoses (RoadMap™ Analysis), evaluating coronary blood flow (FFRCT Analysis), and characterizing and quantifying coronary atherosclerosis (Plaque Analysis). Our expanding range of products and dedicated team are committed to transforming precision heart care.As a publicly traded entity (HTFL), HeartFlow has garnered international acclaim for its groundbreaking contributions to healthcare innovation, receiving endorsements from medical societies globally. We are cleared for use in the US, UK, Europe, Japan, and Canada, having positively impacted over 500,000 patients worldwide.We are currently seeking an enthusiastic Software Engineering Intern to join our Machine Learning (ML) Engineering and MLOps team at our San Francisco office. In this role, you will collaborate with experienced engineers and research scientists on a defined project that contributes to HeartFlow's transition towards a cloud-native, unified ML pipeline. This internship will provide you with hands-on experience in cardiac AI technologies, software architecture, and validation methodologies essential for running algorithms at scale. You will be assigned to a project encompassing computational geometry, microservices, and inference pipeline architectures.

About tvScientific tvScientific is the premier CTV advertising platform exclusively tailored for performance marketers. Our innovative approach harnesses vast data and state-of-the-art science to automate and enhance TV advertising, ultimately driving impactful business results. Our platform seamlessly integrates media buying, optimization, measurement, and attribution into one powerful, efficient solution. Developed by industry veterans with extensive backgrounds in programmatic advertising, digital media, and ad verification, our CTV performance platform is designed to help advertisers confidently scale their business. We are currently seeking a Senior MLOps Engineer to join our dynamic, distributed engineering team focused on our Connected TV ad-buying platform, as we expand our Machine Learning capabilities. Having successfully optimized TV ad campaigns, we are poised for massive growth, and we need your expertise to ensure our scalability is both sustainable and effective. As a proud member of Idealab, tvScientific was co-founded by leaders deeply rooted in programmatic advertising and digital media. We empower our clients to purchase ads across the expansive CTV landscape, including platforms such as Hulu, PlutoTV, and the ad-supported tiers of Disney+ and HBO Max. Following our acquisition by Pinterest, we are intensifying our focus on CTV to enhance the performance of search and social advertising.

ML Ops Engineer — Agentic AI Lab (Founding Team)Location: San Francisco Bay AreaType: Full-TimeCompensation: Competitive salary + meaningful equity (founding tier)At fabrion, supported by 8VC, we are assembling a premier team to address one of the industry's most significant infrastructure challenges.About the RoleJoin our AI Lab as we advance the future of intelligent infrastructure through pioneering open-source LLMs, agent-native pipelines, retrieval-augmented generation (RAG), and knowledge-graph-grounded models. We seek an ML Ops Engineer who will serve as the vital link between ML research and production systems, taking charge of automating the model training, deployment, versioning, and observability pipelines that empower our agents and AI data fabric.In this role, you will engage in compute orchestration, GPU infrastructure management, fine-tuned model lifecycle stewardship, and ensure model governance and security.Key ResponsibilitiesDesign and maintain secure, scalable, and automated pipelines for:LLM fine-tuning, SFT, LoRA, RLHF, and DPO trainingRAG embedding pipelines with real-time updatesModel conversion, quantization, and inference deploymentOversee hybrid compute infrastructure (cloud, on-premises, GPU clusters) for training and inference workloads utilizing Kubernetes, Ray, and TerraformContainerize models and agents using Docker, ensuring reproducible builds and CI/CD through GitHub Actions or ArgoCDEstablish and enforce model governance, including versioning, metadata management, lineage tracking, reproducibility, and evaluation captureDevelop and manage evaluation and benchmarking frameworks (e.g. OpenLLM-Evals, RAGAS, LangSmith)Integrate with security and access control mechanisms (OPA, ABAC, Keycloak) to implement model policies by tenantImplement observability practices for model latency, token usage, performance metrics, error tracing, and drift detectionAssist in deploying agentic applications using LangGraph, LangChain, and custom inference solutions.

Join our innovative team at fal as a Staff Software Engineer specializing in large-scale computation platforms. We are seeking a seasoned software engineer with extensive experience in developing backend systems that efficiently orchestrate workloads and manage resource constraints. Your expertise in foundational cloud infrastructure and Linux provisioning will be crucial as you work towards achieving high reliability and scalability with minimal operational overhead.

About Sygaldry Technologies Sygaldry Technologies develops quantum-accelerated AI servers in San Francisco, focusing on faster AI training and inference. By combining quantum technology with artificial intelligence, the team addresses challenges in computing costs and energy efficiency. Their AI servers integrate multiple qubit types within a fault-tolerant system, aiming for a balance of cost, scalability, and speed. The company values optimism, rigor, and a drive to solve complex problems in physics, engineering, and AI. Role Overview: ML Infrastructure Engineer The ML Infrastructure Engineer joins the AI & Algorithms team, which includes research scientists, applied mathematicians, and quantum algorithm specialists. This role centers on building and maintaining the compute infrastructure that powers advanced research. The systems you build will support reliable GPU access, reproducible experiments, and scalable workloads, so researchers can focus on their core work without needing deep cloud expertise. Expect to design and manage compute platforms for a range of tasks, including quantum circuit simulation, large-scale numerical optimization, model training, tensor network contractions, and high-throughput data generation. These workloads span multiple cloud providers and on-premises GPU servers. Key Responsibilities Develop compute abstractions for diverse workloads, such as GPU-accelerated simulations, distributed training, high-throughput CPU jobs, and interactive analyses using frameworks like PyTorch and JAX. Set up infrastructure to support experiment tracking and reproducibility. Create developer tools that make cloud computing feel local, streamlining environment setup, job submission, monitoring, and artifact management. Scale experiments from single-GPU prototypes to large, multi-node production runs. Multi-Cloud GPU Orchestration Design orchestration strategies for workloads across multiple cloud providers, optimizing job routing for cost, availability, and capability. Monitor and improve cloud spending, keeping track of credit balances, burn rates, and expiration dates.

About Us:At Parafin, our mission is to empower small businesses to thrive in today's competitive landscape. We understand that small businesses form the backbone of our economy, yet they often face challenges in accessing essential financial resources. Our innovative technology streamlines access to vital financial tools directly on the platforms they already utilize for sales. Partnering with industry leaders such as DoorDash, Amazon, Worldpay, and Mindbody, we provide small businesses with fast, flexible funding, efficient spend management, and effective savings solutions through simple integrations. Parafin manages the complexities of capital markets, underwriting, servicing, compliance, and customer support to ensure seamless experiences for our partners and their small business clients.We are composed of a dynamic team of innovators with backgrounds from top firms like Stripe, Square, Plaid, Coinbase, Robinhood, and CERN, all driven by a passion for developing tools that facilitate small business success. Backed by esteemed venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin stands as a Series C company with over $194M raised in equity and $340M in debt facilities. Join us in shaping a future where every small business has access to the financial tools they need.About The PositionWe are on the lookout for a skilled Software Engineer to join our Infrastructure team and spearhead the advancement of our Machine Learning (ML) Platform. This pivotal role is essential for constructing reliable, scalable, and developer-centric systems for model experimentation, training, evaluation, inference, and retraining that drive underwriting and other ML-powered products for small businesses.As a Software Engineer, you will design, build, and maintain the core frameworks and platforms that empower data scientists to deploy high-quality models into production efficiently and safely. You'll work closely with Data Science and Platform Engineering, taking ownership of the ML platform from end-to-end, and develop both batch and real-time underwriting infrastructure.What You'll DoTransform notebooks into reliable software. Break down data scientist training and inference notebooks into reusable, well-tested components (libraries, pipelines, templates) with clear interfaces and documentation.Develop user-friendly ML abstractions. Create SDKs, CLIs, and templates that simplify the definition of features, model training and evaluation, and deployment to batch or real-time targets with minimal boilerplate.Construct our real-time ML inference platform. Establish and scale low-latency model serving capabilities.Enhance batch ML inference processes. Optimize scheduling, parallelism, cost controls, and observability to improve efficiencies.

Join Stripe as a Staff Software Engineer in our Stream Compute team, where you will play a pivotal role in building scalable solutions that power the financial infrastructure of the internet. As a member of our innovative engineering team, you will leverage your expertise to design and implement robust software solutions that enhance the performance and reliability of our streaming data capabilities.

About UsAt Hayden AI, we are dedicated to leveraging the capabilities of computer vision to revolutionize how transit systems and government agencies tackle real-world challenges.Our innovative mobile perception system enhances transit operations, improves street safety, and contributes to a sustainable future through advanced technologies for bus lane enforcement and transportation optimization.About the Platform TeamThe Platform team forms the backbone of Hayden's operations, ensuring reliability and scalability. This team is tasked with the seamless execution of perception algorithms across dedicated edge hardware and public cloud infrastructures. They manage event processing from device capture to partner delivery, while overseeing fleet health, security, compliance, data governance, and privacy.About the RoleAs a Software Engineering Intern on the Platform Team at Hayden AI, you'll play a crucial role in developing the systems that underlie our products. This is a hands-on position where you will directly contribute to the infrastructure, services, and data pipelines that ensure the reliable operation of our perception algorithms across both edge devices and cloud environments.You will work closely with senior engineers to enhance the systems that manage data flow from field devices through to event processing and delivery to our partners. Your responsibilities may include cloud services, backend systems, fleet health monitoring, data tooling, and platforms that bolster security, compliance, and governance.This opportunity is perfect for individuals eager to learn about the functioning of large-scale AI systems in production, from edge hardware to cloud infrastructure, and who are passionate about tackling reliability, performance, and scalability challenges.You will acquire hands-on experience in designing, building, testing, and deploying production-ready systems while gaining insights into the operations of high-performing infrastructure teams.This internship is based in San Francisco and operates on a hybrid schedule, requiring at least three days in the office each week.

At Rylo, we are revolutionizing the way you capture and share your experiences. Our state-of-the-art camera is designed to record your surroundings with breathtaking clarity and stability, eliminating the hassle of traditional video capture. Created by a team of visionary engineers from Instagram and Apple, our innovative stabilization software and user-friendly smartphone app ensure that every shot you take is a masterpiece. With Rylo, you can focus on enjoying the moment while we handle the technicalities of creating stunning videos.Experience Rylo in actionAs a Software Engineer specializing in Computational Photography, you will play a crucial role in enhancing the core algorithms that power the Rylo camera and future products. Your work will fundamentally enhance the photography and cinematography experience, focusing on improving image quality and developing groundbreaking computational photography features. You will engage in the complete lifecycle of algorithm development, from design and implementation to quality evaluation and performance optimization, culminating in successful deployment.Your collaboration with software engineers, hardware engineers, and designers will allow you to push the boundaries of consumer camera technology.

Databricks is looking for a Senior Software Engineer focused on Compute Infrastructure in San Francisco, California. This position centers on building and improving compute architecture to support greater performance and scalability across Databricks' platform. What you will do Develop and optimize compute infrastructure to handle demanding data processing and analytics workloads. Work closely with teams from different disciplines to deliver reliable, high-quality solutions for customers. Impact Your contributions will help define how data processing and analytics evolve at Databricks. The work directly supports customers’ ability to scale and perform complex tasks in the cloud. Who we’re looking for Strong background in cloud technologies and compute systems. Enjoys tackling complex technical challenges. Collaborative approach to problem-solving with cross-functional teams.

Team and Platform Focus The Compute Infrastructure team at OpenAI designs, builds, and maintains the systems that support AI research at scale. This work brings together accelerators, CPUs, networking, storage, data centers, orchestration software, agent infrastructure, developer tools, and observability. The aim is to create a reliable, unified experience for researchers and product teams across the company. Projects span the full stack: capacity planning, cluster lifecycle management, bare-metal automation, and distributed systems. The team manages Kubernetes scheduling, system optimization, high-performance networking, storage, fleet health, reliability, workload profiling, benchmarking, and improvements to the developer experience. Even small improvements in communication, scheduling, hardware efficiency, or debugging can significantly accelerate research. OpenAI matches engineers to areas within Compute Infrastructure that align with their skills and interests. Role Overview This Software Engineer role centers on building and evolving the compute platform that supports OpenAI’s research and products. Candidates may bring expertise in low-level systems, high-performance computing, distributed infrastructure, reliability, CaaS, agent infrastructure, developer platforms, tooling, or infrastructure user experience. The most important qualities are strong analytical skills, the ability to write resilient code, and a collaborative approach that helps colleagues move faster and with more confidence. What You Will Work On Working close to hardware or at the user interaction layer Developing CaaS and agent infrastructure Managing control and data planes that connect the system Bringing new supercomputing capabilities online Optimizing training workloads through profiler traces and benchmarks Improving NCCL and collective communication Analyzing GPUs, NICs, topology, firmware, thermal dynamics, and failure modes Designing abstractions to unify diverse clusters into a single platform Areas of Expertise No one is expected to cover every area listed. Some engineers focus on system performance, kernel or runtime behavior, large-scale networking protocols, RDMA, NCCL, GPU hardware, benchmarking, scheduling, or hardware reliability. Others improve the platform’s usability through APIs, tools, workflows, and developer experience. The team values strong engineering judgment and a drive to advance the field.

About UsAt Hayden AI, our goal is to leverage computer vision technology to revolutionize how transit systems and government agencies tackle real-world challenges.Our cutting-edge mobile perception systems facilitate bus lane enforcement, transportation optimization, and more, enabling clients to enhance transit efficiency, improve street safety, and promote sustainable practices.About the Perception TeamThe Perception Team at Hayden AI specializes in developing and refining AI algorithms that drive our mobile enforcement systems, analyzing video and image data to identify traffic violations, parking infractions, and other urban compliance issues. This collaborative team works closely with both cloud and device engineering to create and implement perception pipelines that provide actionable insights for our clients.About the RoleAs a Software Engineering Intern focusing on Perception at Hayden AI, you will be integral to the development of AI systems that support our mobile enforcement platform. You will engage with computer vision and machine learning models to process real-world video and image data for detecting traffic violations and urban compliance events.This position intersects machine learning, data analytics, and real-world deployment. Your responsibilities may include improving model accuracy, refining training datasets, assessing edge cases, optimizing inference performance, and developing tools to enhance perception pipelines across cloud and on-device environments.This is not a role for side projects; you will take ownership of significant technical work that impacts our production systems. Under the mentorship of a senior engineer, you will design experiments, implement enhancements, evaluate performance, and help deliver improvements that influence how our systems interpret and respond to the physical world.This internship is perfect for individuals passionate about applied AI, particularly in computer vision, model evaluation, and deploying machine learning systems in real-world settings.The position is based in San Francisco, with a hybrid work schedule requiring at least three days in the office each week.

About UsAt Hayden AI, we are dedicated to leveraging the power of computer vision to revolutionize the way transit systems and government agencies tackle real-world challenges.Our cutting-edge mobile perception systems enhance bus lane and bus stop enforcement, optimize transportation technologies, and empower our clients to improve transit efficiency, promote street safety, and work towards a sustainable future.About the Engineering Operations TeamThe Engineering Operations Team is pivotal in driving quality, tooling, and deployment throughout our systems and development lifecycle. Our focus includes test automation, building internal tools to facilitate triage and debugging workflows, and supporting project execution.About the RoleAs a Software Engineering Intern at Hayden AI, you will be instrumental in ensuring the quality and reliability of our automated enforcement technologies used by cities and transit agencies globally. Your contributions will include developing test automation, creating internal tools for debugging workflows, and aiding in project coordination across the engineering team.You will collaborate closely with QA Engineers, Technical Program Managers, and Project Engineers, reporting directly to the Engineering Operations Team. We seek detail-oriented individuals who thrive on solving operational challenges, with foundational skills in software development, scripting, or testing. A curious mind and a practical approach to building solutions are essential.This position is based in San Francisco and follows a hybrid work model, requiring at least three days in the office each week.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

About UsAt Software Apps Inc., we are pioneering the future of technology with our groundbreaking product, Sky, which utilizes natural-language computing tailored for your Mac. Join us in our mission to innovate and transform how users interact with technology.Discover more about our team, values, and vision on our careers page: www.software.inc/jobsOur ValuesCollaboration is Key: We thrive on teamwork and believe in the power of in-person collaboration. Every team member is seen as a leader, and we encourage ownership of projects to foster growth.Honest Communication: Empathetic and open communication is vital for our close-knit team. We strive to listen as much as we talk, respecting every voice in the room.Cultivating Curiosity: In the ever-evolving landscape of AI and computing, staying curious is essential. We ask questions that guide our decisions, ensuring we stay aligned with our vision.The RoleWe are seeking a talented Software Engineer to play a pivotal role in shaping our product. You will be responsible for developing new, user-facing software. Your ability to balance ambition with feasibility will be crucial as you engage in an iterative process of building, testing, gathering feedback, and refining your work.Your Daily Responsibilities Will Include:Creating Innovative Software: Utilize your skills and passion to transform visionary ideas into actionable plans. Sometimes, this requires taking bold steps without knowing the final outcome.Taking Ownership: You'll have full responsibility for the success of your projects. Your commitment to incorporating feedback and improving quality is essential. We trust you to handle significant responsibilities.Thinking Big and Small: Understanding that every choice impacts user experience, you’ll focus on details that create seamless and magical interactions.Documenting Your Work: Keeping thorough and clear documentation is key to our collaborative approach.

About TacitTacit is an innovative deep tech startup located in the heart of San Francisco, pioneering hardware solutions that redefine human-computer interaction. Supported by prominent investors such as General Catalyst, Khosla Ventures, and Greylock Partners, our founding team comprises experts from esteemed organizations like Stanford, BrainGate, Oculus, and Tesla. While our groundbreaking products are still under wraps, our team is dedicated to tackling formidable engineering challenges to revolutionize the tech landscape.About the RoleWe are looking for an enthusiastic Software Engineering Intern to contribute to the development of the next generation of human-computer interfaces. This internship offers invaluable hands-on experience in both front-end and back-end development, focusing on creating user-centric applications and aiding internal research processes. You will collaborate closely with a talented team of engineers, designers, and researchers to bring innovative interaction paradigms to fruition.Key ResponsibilitiesDesign and implement applications for web, mobile, and embedded clients that interface with our hardware.Build backend services for real-time interaction and seamless data streaming.Develop internal tools for data labeling, visualization, and debugging purposes.Rapidly prototype new user experiences utilizing novel input methods.Collaborate with full-time engineers to deploy stable, high-performance software solutions.Document engineering insights and articulate design decisions effectively.Preferred QualificationsProficiency in Python, TypeScript, React, Linux, and command-line development.Demonstrated ability to work independently, with a strong sense of flexibility and resourcefulness.Excellent communication and teamwork skills.Ability to thrive in a fast-paced startup environment, with a keen interest in independent project development.CompensationHourly compensation will be determined based on your individual skills and experience.

About the RoleAt Sigma Computing, we are revolutionizing how enterprises manage their data through an advanced high-performance platform built on modern data architecture. As we expand our engineering team, we seek passionate engineers eager to tackle complex challenges and deliver significant capabilities across our technology stack. Join our talented team committed to making data effortlessly accessible for all users.What You Will Be DoingDevelop and maintain testing infrastructure and tools, including AI-driven test generation, test harnesses, API testing, hermetic test environments, and performance testing frameworks.Enhance the testability of our systems and services.Utilize modern programming languages and tools such as K6, Rust, and Go.Establish and refine best practices to ensure high-quality standards in our systems and services.Engage in test planning and quality strategy reviews.Collaborate with peers and stakeholders through design and code reviews to uphold best practices across available technologies, dedicating a majority of your time to delivering high-quality code.

At Plaid, we envision a future where financial interactions are seamless and empowering. Our mission is to facilitate this transformation by developing innovative tools and experiences that empower thousands of developers to build their own financial products. With Plaid, millions of individuals can manage their finances effectively, leveraging our connections to a vast network of companies, including Venmo, SoFi, and numerous Fortune 500 firms, as well as major banks. Covering over 12,000 financial institutions across the US, Canada, UK, and Europe, Plaid has established itself as a leader in financial technology since its inception in 2013. Headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam.Join our Network Enablement team, where our mission is to enhance Plaid’s network effects by building trust and sharing valuable insights with our data partners.We are responsible for creating cutting-edge solutions including Trust & Fraud Insights, Bank Intelligence, and foundational ML/data infrastructure. Our work encompasses real-time Protect model scoring, two-way APIs/webhooks, investigation tools, ML-driven retention metrics, and scalable batch processing.As a Senior Software Engineer in this role, you will spearhead the design and operation of the ML infrastructure and product services that underpin trust and intelligence throughout Plaid’s network. Your responsibilities will include feature engineering, offline training, batch scoring, online feature serving, and real-time inference, ensuring that model outputs effectively drive partner-facing fraud and trust products as well as bank intelligence features. You will also integrate inference into product logic, establish reproducible pipelines, and implement CI/CD for models while maintaining observability, compliance, and reproducibility as we expand our network capabilities. Collaborating closely with Product, ML/Data Platform, Fraud, Foundational Modeling, MLE, DS, and Privacy teams, you will deliver reliable, auditable ML solutions that positively impact our product KPIs.

Join Multiply Labs as a Software Engineering InternAt Multiply Labs, we are at the forefront of innovation in the biotechnology sector, located in the vibrant city of San Francisco, California. With backing from renowned investors including Casdin Capital, Lux Capital, and Y Combinator, our vision is to create the most advanced robotic systems that make life-saving therapies accessible to everyone.We are transforming the landscape of cell therapy manufacturing with sophisticated robotics that streamline production processes. Our technology enables biopharma companies to manufacture cell therapies efficiently and affordably, tackling the traditional challenges of high costs and regulatory hurdles. By leveraging our robotics, we strive to lower the costs of these groundbreaking treatments, which can otherwise exceed $1 million per patient.To explore more about our mission and see our robots in action, visit us at www.multiplylabs.com and connect with us on LinkedIn.About the InternshipWe are seeking enthusiastic Software Engineering Interns to become a part of our dynamic team. In this role, you will contribute to developing production-ready software that will play a pivotal role in the future of personalized medicine and cell therapy manufacturing. Ideal candidates are strong problem solvers, motivated students eager to learn, and excited about the unique experience of working within a fast-paced startup environment.