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Workstream develops HR, payroll, and hiring tools designed for hourly teams. Their software supports well-known brands in the restaurant industry, including Burger King, IHOP, KFC, and others. As a Series B company with backing from investors such as Founders Fund, BOND, and Coatue, Workstream continues to expand its product suite for businesses and employee…

As a Solutions Architect on the Digital Natives team, you will play a pivotal role in shaping the future of the big data landscape. Collaborating with some of the most sophisticated data engineering and data science teams globally, you will leverage your expertise to deliver innovative solutions.In this position, reporting to the Field Engineering Manager, you will work closely with customers, product teams, and various customer-facing personnel to architect solutions utilizing our platform and APIs. Your role will involve guiding customers through the competitive landscape, implementing best practices, and cultivating technical champions within their organizations.The impact you will have:Partner with the sales team to provide technical leadership, helping customers understand how Databricks can resolve their business challenges.Consult on Big Data architectures, implement proof of concepts for strategic projects across data engineering, data science, and machine learning, along with SQL analysis workflows. Validate integrations with cloud services, proprietary tools, and third-party applications.Collaborate with fellow Solutions Architects, sharing skills and insights to enhance our customer offerings.

Join Airwallex as a (Senior) Software Engineer (Frontend) in our Growth TeamAt Airwallex, we are redefining the future of financial services. Our innovative, all-in-one payments platform empowers over 200,000 businesses globally—including industry leaders like Brex, Rippling, and SHEIN—to seamlessly manage everything from business accounts and payments to spend management and treasury solutions.Founded in Melbourne, our diverse team of over 2,000 trailblazers operates across 26 international offices. With a valuation of US$8 billion and support from top-tier investors such as T. Rowe Price and Mastercard, we are at the forefront of transforming global banking. If you are eager to take on challenging projects and make a significant impact, we want you to be part of our journey.

At Oura, we are dedicated to empowering individuals to unlock their inner potential. Our award-winning products, including the Oura Ring and its connected app, provide our global community with insightful data about their readiness, activity levels, and sleep quality. By offering daily insights and actionable steps, we have helped millions enhance their overall health and embrace healthier lifestyles.Our commitment to empowerment extends to our team as well. As a rapidly growing company focused on enhancing the health and happiness of individuals, we prioritize providing our employees with the resources they need to succeed, both personally and professionally.We are currently seeking a Senior Manager of Sustaining Quality Engineering to join our dynamic Supply Chain team in San Francisco, California. In this pivotal role, you will bridge the gap between Oura’s Manufacturing, R&D, and Member Experience teams. This is a unique opportunity to lead a talented group of engineers while directly contributing to crucial technical deliverables, ensuring the quality of Oura products from development through to sustaining operations.A primary responsibility in this role will be to continuously enhance product quality from launch to sustaining operations. You will leverage field data to inform decisions that minimize field failures, reduce warranty claims, and drive ongoing improvements across the supply chain. You will play a vital role in establishing and optimizing the Engineering Field Failure Analysis (EFFA) process flow, leading comprehensive Failure Analyses (FA) with both Oura and supplier teams. Your contributions will be essential in developing and implementing effective Corrective Actions (CA) through Design of Experiments (DOEs) and Product Release Qualifications (PRQs). You will collaborate closely with Hardware, Software, and Customer Support teams to enhance troubleshooting workflows and proactively monitor known and emerging issues within the EFFA program.Beyond your hands-on responsibilities, you will spearhead sustaining quality initiatives across various offices, programs, and manufacturing sites. You will be responsible for establishing robust quality systems at suppliers to ensure reliable data collection and analysis for critical decision-making. Your long-term strategies will focus on continuously improving the Oura Supply Chain and enhancing the overall customer experience. This includes planning, developing, and implementing measurement methods, control plans, and other supply quality engineering processes to guarantee part and product quality—from initial concept through to high-volume production in our complex global environment.

Why Join UsAt Brex, we are revolutionizing corporate spending with our AI-driven platform. We empower businesses to manage their expenses confidently through integrated corporate cards, banking services, and global payment solutions, complemented by intuitive software for travel and expense management. From startups to established enterprises like DoorDash, Flexport, and Compass, thousands of companies rely on Brex to control spending proactively, reduce costs, and enhance efficiency on a global scale.Joining Brex means pushing your limits, questioning the status quo, and collaborating with some of the industry’s brightest minds. We are dedicated to fostering a diverse team and an inclusive culture, believing that your potential should only be limited by your dreams. We empower you with the tools, resources, and support needed to advance your career.AI at BrexOur AI Engineering team is redefining finance management by embedding intelligent, autonomous systems into the Brex platform. We develop AI agents that not only provide insights but also take action to optimize spending, manage workflows, and make real-time decisions for our customers. By integrating proprietary financial data with our product and platform infrastructure, we simplify complex financial operations into seamless, automated experiences, setting a new standard for modern finance.What You’ll DoAs a Senior Software Engineer, you will be responsible for Brex’s simulation and validation platform for AI-driven products. Your primary goal is to ensure that every AI interface at Brex is rigorously tested under realistic conditions, enabling teams to deploy with confidence.You will design a system that leverages synthetic data and scenario generation to create a recursive self-improvement loop. Product teams will depend on this platform to detect regressions proactively, validate new features safely, and continuously refine prompts and agent behaviors. This platform will operate within isolated, ephemeral environments closely resembling production.This is not a research position; it involves actively engaging with real products, creatively breaking them to foster organizational improvement.Where You’ll WorkThis position is based in our San Francisco office. We offer a hybrid work environment that blends the energy of in-office collaboration with the flexibility of remote work. We require team members to be in the office three days a week—Monday, Wednesday, and Thursday—while also allowing up to four weeks of fully remote work each year!

About Sprinter Health:At Sprinter Health, we are on a mission to revolutionize access to healthcare by bringing services directly to patients' homes. A staggering 30% of patients in the U.S. forgo essential preventive or chronic care due to transportation barriers, often resorting to emergency rooms for basic healthcare, resulting in over $300 billion in avoidable costs annually.Leveraging advanced technologies akin to those used by top marketplace and last-mile delivery platforms, we provide critical care where it is needed most. To date, we have assisted over 2 million patients across 22 states, conducted over 130,000 in-home visits, and achieved an impressive 92 NPS. Our dedicated team of healthcare professionals, technologists, and operators has successfully raised over $125 million from esteemed investors such as a16z, General Catalyst, GV, and Accel, ensuring a sustainable operational runway.About the RoleAs part of our Growth Engineering team, you will play a pivotal role in facilitating access to our in-home care services for underserved communities. Your primary focus will be to enhance patient engagement by transforming our current appointment booking system, primarily reliant on outbound phone outreach, into a seamless product-led experience integrated into our core services.This position holds significant responsibility; you will be instrumental in developing the systems that directly influence whether individuals receive necessary care or go without.Office EnvironmentWe operate as a hybrid company with offices located in both San Francisco and Menlo Park. We value work-life balance and acknowledge the need for flexibility in various situations.Key Responsibilities:Design and implement experiments that enhance patient bookings, encompassing elements such as message copy testing, outreach timing, and innovative in-product booking flows.Optimize multi-channel engagement strategies via SMS, phone, email, and mail to reach patients who typically do not schedule care.Conduct rapid brainstorming sessions and sizing exercises to prioritize upcoming initiatives and strategies.

Join parafin as a Senior Software Engineer in our Merchant Decisioning team, where you will play a critical role in developing cutting-edge solutions that empower merchants to make informed decisions. You will be involved in the entire software development lifecycle, from conception to deployment, ensuring robust architecture and high-quality code.

Join SoFi as a Senior Cyber Threat Intelligence Engineer, where you will play a crucial role in safeguarding our digital assets. You will analyze threat data, develop actionable intelligence, and collaborate with cross-functional teams to enhance our security posture. Your expertise will be pivotal in identifying and mitigating potential risks while leveraging advanced analytical tools.

About Scale AI Scale AI serves as the foundational platform for data in artificial intelligence, empowering organizations to design and deploy dependable AI applications in production. Our collaborations with top-tier enterprises and government agencies accelerate their AI endeavors through our comprehensive data annotation platform, innovative generative AI solutions, and robust enterprise AI capabilities. Role Overview As a Senior Forward Deployed AI Engineer on our Enterprise team, you will act as the crucial technical link between Scale AI's advanced AI technologies and our key clients. You will engage with enterprise customers to grasp their specific challenges, architect tailored AI solutions, and facilitate the successful implementation and adoption of AI systems within production settings. This hands-on technical position merges profound engineering skills with customer-oriented problem-solving. You will collaborate directly with client engineering teams to seamlessly integrate AI into their pivotal workflows. Key Responsibilities Customer Integration & Deployment Engage directly with enterprise clients to assess their technical infrastructures, data pipelines, and business needs. Design and execute custom integrations between Scale AI's platform and clients' data environments, including cloud platforms, data warehouses, and internal APIs. Develop resilient data connectors and ETL pipelines to acquire, process, and prepare client data for AI applications. Deploy and configure AI models and agents in alignment with client security and compliance requirements. AI Agent Development Create production-ready AI agents tailored to specific client use cases across various sectors, including customer support, data analytics, content generation, and workflow automation. Design multi-agent systems that coordinate between diverse models, tools, and data sources. Establish evaluation frameworks to assess agent performance and refine them in pursuit of business objectives. Develop human-in-the-loop processes and feedback systems for ongoing agent enhancement. Prompt Engineering & Optimization Develop sophisticated prompt engineering methodologies optimized for client-specific domains and data. Create and maintain prompt libraries, templates, and best practices for client scenarios. Conduct systematic prompt experiments and A/B testing to enhance model outputs. Implement RAG (Retrieval Augmented Generation) systems and fine-tuning protocols to improve performance.

Join Waabi as a Senior / Staff Software Engineer specializing in Localization, where you'll play a pivotal role in enhancing our products for diverse global markets. You will be responsible for designing and implementing innovative software solutions that facilitate language and cultural adaptations across our platforms.

Join SF Compute as we revolutionize the landscape of infrastructure development, addressing the most significant build-out in history.In our mission to de-risk GPU cluster financing, we ensure that datacenters and their supporting infrastructure are secured through pre-existing contracts, thereby enhancing customer confidence and investment viability.The complexities of financing GPU clusters, where margins are slim and volumes are substantial, pose inherent risks for lenders and developers. Our innovative approach mitigates these risks through fixed-price long-term contracts that safeguard both parties.As artificial intelligence expands, accessibility to compute resources becomes a challenge. We are dedicated to creating a liquid market for GPU offtake, enabling startups and smaller companies to engage in this high-stakes environment.About the Role:As the Director of Project Delivery at SF Compute, you will lead the project management and construction management efforts for deploying large GPU clusters in colocation facilities and greenfield developments. You will oversee every stage of the project lifecycle, from preconstruction through active construction, commissioning, and final handover to end users. This role is based at our headquarters in San Francisco, with some travel required. Candidates must submit a portfolio showcasing their experience in data center projects.About You:You possess over 8 years of experience with a general contractor, specialty trades, or as an owner's representative, concentrating on the comprehensive delivery of data center projects.You hold a Bachelor's Degree in Construction Management or a related field.

Join Us in Building a Safer World.At TRM Labs, we specialize in blockchain analytics and AI solutions aimed at assisting law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in identifying, investigating, and preventing crypto-related fraud and financial crime. Our innovative platforms leverage blockchain intelligence and AI technology to trace funds, detect illicit activity, and construct comprehensive threat profiles. Trusted by leading organizations worldwide, TRM Labs is committed to enabling a safer and more secure environment for all.Our AI Engineering Team is dedicated to 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 infrastructure that facilitate the swift, safe, and scalable deployment of AI systems.We manage extensive petabyte-scale pipelines, ensuring model serving with millisecond latency while providing the necessary observability and governance to make AI production-ready. Our team actively evaluates and integrates leading-edge tools in the LLM and agent space, including open-source stacks, vector databases, evaluation frameworks, and orchestration tools to accelerate TRM’s innovation pace.As a Senior or Staff ML Systems Engineer – LLM, you will play a pivotal role in constructing and scaling our technical infrastructure for AI/ML systems. Your responsibilities will include:Creating reusable CI/CD workflows for model training, evaluation, and deployment, integrating tools such as Langfuse, GitHub Actions, and experiment tracking.Automating model versioning, approval processes, and compliance checks across various environments.Developing a modular and scalable AI infrastructure stack that encompasses vector databases, feature stores, model registries, and observability tools.Collaborating with engineering and data science teams to embed AI models and agents into real-time applications and workflows.Continuously assessing and incorporating state-of-the-art AI tools (e.g., LangChain, LlamaIndex, vLLM, MLflow, BentoML).Promoting AI reliability and governance while enabling experimentation, ensuring compliance, security, and continuous uptime.Enhancing AI/ML Model Performance and ensuring data accuracy and consistency, leading to improved model training and inference.Implementing infrastructure to facilitate both offline and online evaluation of LLMs and agents.

Astranis Space Technologies Corp. designs and builds satellites that enable secure, dedicated networks for major enterprises, governments, and the US military. With five satellites already in orbit and a growing launch schedule, the company is fulfilling a commercial contract backlog exceeding $1 billion. Astranis has raised over $750 million from investors such as Andreessen Horowitz, Blackrock, and Fidelity, and operates from a 153,000 sq. ft. headquarters in Northern California with a team of 450 engineers and entrepreneurs. Role overview The Senior PCB Layout Engineer leads layout development for printed circuit boards used in payload, avionics, and power systems. This role works closely with design engineers to collect board requirements and mechanical constraints, then turns those into reliable PCB layouts. Direct collaboration with PCBA manufacturing teams and external fabrication vendors is essential to ensure that board designs are manufacturable and meet the reliability standards necessary for space hardware. What you will do Place and route high-reliability PCB designs using input from design engineers at both schematic and layout stages. Route power, high-speed digital, RF, and analog PCB designs. Assist the librarian in creating and reviewing schematic symbols and footprints by referencing datasheets and 3D models. Oversee design standards, templates, release processes, and maintain interfaces with the PLM system. Work with PCB manufacturing teams and external vendors to evaluate technical capabilities, develop design stackups, and apply design for manufacturing (DFM) best practices. Location This position is based in San Francisco, CA.

Join Perplexity as an Applied Machine Learning Engineer and be at the forefront of innovation in artificial intelligence. You will design, develop, and refine advanced AI models that enhance user experiences globally. Your expertise in machine learning will allow you to create scalable solutions for user personalization, query comprehension, and content discovery, catering to the curiosity of millions.Key ResponsibilitiesUtilize cutting-edge ML and LLM techniques to address challenges in:Personalization (LLM memory, context summarization, retrieval, and ranking);Query Understanding (intent modeling, rewriting, agentic decomposition);Content Discovery (feed ranking and surfacing).Conduct thorough evaluations of LLM/ML models through offline and online methods, designing comprehensive experiments and metrics that yield insights into quality and impact.Manage the full model lifecycle from research to deployment, including data analysis, modeling, evaluation, A/B testing, and iterative enhancements.Collaborate with cross-functional teams, including engineers, PMs, data scientists, and designers, to ensure AI implementations yield significant product enhancements.Stay updated on ML/AI advancements by assessing and integrating new research and algorithms into the product lifecycle.Preferred QualificationsOver 5 years of experience in developing and deploying robust ML/AI models for large-scale, user-centric or data-driven applications.Extensive knowledge in deep learning frameworks (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and ranking.Proficient software engineering skills (Python, production-level codebases, collaborative development).Comprehensive experience across the entire ML lifecycle: data analysis, feature engineering, model development, evaluation, and ongoing monitoring/improvement.Effective collaborator and communicator; thrives in fast-paced, cross-functional environments.Inquisitive, motivated by user/product impact, and passionate about advancing applied ML and AI.Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field (or equivalent experience).

About PoesisPoesis is a pioneering AI-native investment manager that is transforming the landscape of U.S. equities through innovative foundation models. We are developing cutting-edge AI systems designed to predict market trends and exceed the performance of traditional investment managers. This exciting work represents frontier research that is validated in real-world scenarios. Your contributions will play a crucial role in influencing investment strategies and enhancing portfolio outcomes.Location & WorkstyleLocated in the vibrant San Francisco Bay Area, near Stanford, we support a Hybrid work model, requiring several days on-site each week.Relocation assistance is available.About the RoleAs a Founding Machine Learning Engineer, you will be the first full-time ML hire at Poesis, responsible for translating research and data into scalable production models. You will develop the initial ML pipelines from the ground up, managing everything from data ingestion and preprocessing to model training, validation, and signal generation. This role is ideal for a hands-on professional who excels in coding, designing experiments, and quickly delivering validated results.You will collaborate closely with the CEO and Chief Scientist, taking ownership of both the implementation process and iterative improvements. As the system scales, you will help transition it into a full production platform and establish best practices for future team members.ResponsibilitiesDesign, develop, and maintain the foundational ML infrastructure for Poesis’ investment platform.Create reproducible pipelines for data ingestion, feature engineering, and model training.Establish backtesting and evaluation frameworks with defined performance metrics.Provide regular, detailed reports on model accuracy, feature significance, and overall portfolio impact.Work closely with the Chief Scientist to refine model hypotheses and assess production readiness.Ensure high code quality through version control, testing, reproducibility, and thorough documentation.Develop robust backtesting frameworks and model validation tools, incorporating walk-forward evaluation and risk management controls.Integrate with leading financial data providers such as Bloomberg, FactSet, Refinitiv, and CapIQ.Implement foundational MLOps practices, including model versioning, CI/CD, monitoring, and documentation.Define and refine “demo-able” workflows that link model outputs to investment decision-makers.

Join Anthropic as a Machine Learning Systems Engineer within our Encodings and Tokenization team, where you'll play a pivotal role in refining and optimizing our tokenization systems across Pretraining and Finetuning workflows. By bridging the gap between our Pretraining and Finetuning teams, you will help shape the essential infrastructure that enhances how our AI models learn from diverse data. Your contributions will be crucial in ensuring our AI systems remain reliable, interpretable, and steerable, driving forward our mission of developing beneficial AI technologies.

Join our dynamic team as an Infrastructure Data Center Consultant on a 12-month contract basis. In this pivotal role, you will leverage your expertise in data center infrastructure to deliver exceptional solutions that enhance our operational efficiency. Collaborate with cross-functional teams to implement innovative strategies, troubleshoot issues, and optimize performance. Your contributions will be vital in ensuring the success of our data center initiatives.

Join our dynamic team at 360itprofessionals1 as a Java Lead specializing in Big Data technologies. In this pivotal role, you will lead a talented group of developers in the design, development, and implementation of innovative solutions that leverage Big Data frameworks. This position is ideal for an experienced professional looking to make a significant impact in a fast-paced environment.

Role Overview zip is hiring a GTM Strategy & Operations Manager focused on Data & Territory Operations in San Francisco. This role shapes go-to-market strategies and supports operational improvements across the business. What You Will Do Work with teams across departments to analyze market data and identify trends Refine and optimize territory assignments to support growth targets Develop and share operational best practices that improve efficiency Contribute insights that guide strategic planning and day-to-day execution Location This position is based in San Francisco.

About the Role Lyft Ads is looking for a Data Science Manager with a focus on Machine Learning. This position is based in San Francisco, CA. What You Will Do Lead a team of data scientists working on advertising solutions Guide the development and optimization of machine learning algorithms Improve user targeting methods to increase advertising effectiveness Analyze large datasets to support strategic decisions across Lyft Ads Shape advertising performance and influence user engagement through data-driven insights What We’re Looking For Experience managing data science teams Strong background in machine learning and algorithm development Ability to work with large-scale datasets Skilled at translating analysis into actionable business strategies