Member, technical staff jobs in San Jose, CA

My client are hiring a Founding Member of the Technical Staff, Machine Learning, to help build frontier AI systems applied to complex engineering and reasoning domains. This role is designed exclusively for candidates coming from top tier AI research labs or equivalent frontier environments. This is a hands on, 0 to 1 role with ownership across model development, post training, and production deployment. You will work at the cutting edge of large language models, reinforcement learning, and multi agent systems, with direct impact on how these systems are designed, trained, and scaled in real world use. Key Roles and Responsibilities Train and post train advanced ML models for reasoning, structured generation, and tool use Own reinforcement learning workflows including reward modeling, environment design, and scaling Design and implement multi agent systems that reason, generate, and verify outputs Build end to end ML pipelines covering data curation, training, evaluation, and deployment Prototype rapidly, benchmark rigorously, and push models toward production readiness Optimize models and systems for performance, latency, and cost under real constraints Collaborate closely with engineers and domain experts to integrate ML into production workflows Influence core architectural decisions across ML systems and infrastructure Ideal Candidate Background at a frontier AI research lab or equivalent environment only Proven experience taking ML models from research through real world deployment Deep hands on expertise in reinforcement learning and post training beyond publication work Strong experience training and fine tuning LLMs or code models for reasoning and structured tasks Practical experience with distributed training and serving systems and local model deployment Builder mindset with the ability to move quickly from prototype to production Comfortable operating with high ownership and ambiguity in an early stage environment

Salary Range: $180k - $250k, dependent on experience + generous equity. We are actively recruiting a Senior Backend Engineer for our client, a high-traction B2B SaaS company that recently secured its Series A funding. This role is critical to scaling the company's core platform as they onboard major enterprise clients and compete for an RFP with a public company. We are looking for a highly confident, knowledgeable, and pragmatic engineer with a "can-do" attitude. 💻 Key Responsibilities and Impact The primary focus of this role is to build and scale the platform for enterprise clients. This person will own crucial components needed to handle a projected 10x system scale within the next three to six months. Focus Areas: HR System Integration and Data Modelling: Owning integrations with various HR systems (e.g., Workday, Bamboo HR) and ATS platforms. You will be responsible for building a robust data model to create a "system of record" for tracking the entire immigration history (from student to H1B renewal to Green Card) of foreign nationals within client companies. Scalability: Addressing significant scalability challenges across the entire system-from database services to APIs-to support thousands of new employees and hundreds of foreign nationals from new enterprise customers. Enterprise Functionality & Features: Developing new features, including essential enterprise requirements like implementing support for Enterprise Single Sign-On (SSO). 🛠️ Technical Stack and Requirements Core Backend Stack: Python FastAPI and Postgres for the database. Expertise in Python is preferred. Experience Profile: Ideal candidates have a strong background working with enterprise or B2B SaaS products. Experience with business intelligence or HR software is a plus. Testing & Quality: You must be comfortable with testing and have experience setting up or improving integration tests through APIs, as this is currently a focus area for the team. DevOps Comfort: Must be comfortable and willing to take on different hats, including basic DevOps tasks, as the team does not have a dedicated DevOps engineer.

🌎 San Francisco (Hybrid) 💼 Founding/Staff Engineer 💵 $200-300k base Our client is an AI-native research and product lab on a mission to redefine how global finance operates. Backed by a team that includes former Google DeepMind researchers and engineers, they are applying frontier AI to some of the most complex, high-stakes problems in finance. This is a true founding engineer opportunity. You'll help turn cutting-edge AI research into production systems used by real financial institutions, while shaping the technical foundation, standards, and culture from the ground up. What you'll do Build core product features end-to-end, spanning frontend, backend, and infrastructure using TypeScript, React, and Node.js. Productionize frontier ML research, working closely with researchers to ship robust, user-facing AI systems. Design and own critical services, architecting reliable, scalable infrastructure with Docker and Kubernetes. Set the engineering bar as a founding team member-establishing standards for code quality, testing, and development workflows. Prototype rapidly, ship decisively, and iterate continuously, collaborating closely with product managers, designers, and researchers. Make thoughtful architectural decisions, including rewriting systems when it meaningfully improves long-term quality and simplicity. The ideal candidate: Have built polished, high-performance web applications end-to-end, from design through production deployment. Are deeply fluent in modern frontend development, including TypeScript, React, Tailwind, and Next.js. Can comfortably design and evolve backend microservices (Node.js or Python) to deliver features end-to-end. Are an expert in at least one statically typed language and have strong instincts around type safety, maintainability, and correctness. Have experience deploying production systems with Docker and Kubernetes on GCP Use AI as a productivity multiplier-but critically evaluate AI-generated code, catching bugs and calling out poor design. Thrive in a high-performance, high-ownership environment alongside other strong engineers. Enjoy tackling technically deep, ambiguous problems and thinking carefully about product tradeoffs. Nice to have: Experience working with ML or applied research teams, or familiarity with ML pipelines. Background in fintech, trading, quant platforms, or other high-stakes domains. Prior experience as an early-stage or founding engineer.

Who We Are At City Storage Systems (CSS), we are dedicated to building Infrastructure for Better Food. Our mission is to empower restaurateurs worldwide to thrive in the online food delivery market. By making food more affordable, of higher quality, and convenient, we're transforming the industry for everyone, from budding entrepreneurs opening their first restaurant to global quick-service chains. What You'll Do As a backend-focused Software Engineer at CSS, you'll play a crucial role in our data-driven development team, helping to advance our state-of-the-art menu platform. Your responsibilities will include: Data-Driven Development: Contribute to our data-centric development efforts. Project Planning: Participate in strategic planning for various internal tools. Agile Methodologies: Implement and test software using agile methodologies. Collaborative Teamwork: Work closely with a team to enhance and support our technology. Code Contribution: Write, debug, maintain, and test code across multiple projects. Architectural Design: Design scalable systems with a focus on robust architecture. Continuous Improvement: Engage in continuous improvement initiatives. Innovation: Drive innovation within the team and support technological advancements at CSS. What the Team Focuses On Our menu platform (check our tech blog) offers comprehensive menu management features designed to streamline restaurant operations, enhance customer experiences, and optimize performance. It serves as a single source of truth for menus, seamlessly integrating with online channels such as DoorDash, UberEats, and Grubhub and offline point-of-sale (POS) systems like Square, Toast, and NCR. Key capabilities include updating menus with new items, pricing, and taxes, performing A/B testing on different structures, setting availability by channel, creating combos and promotions, managing ingredients and SKUs, and configuring operational hours. Additionally, our platform features automated linking to ensure POS and online menus are always synchronized, minimizing discrepancies. Boasting a 99.9% availability rate, our platform supports a vast network of brands in the US and worldwide, ensuring uninterrupted service. Over 100,000 restaurateurs use our platform daily to streamline their operations and consistently express high satisfaction. What We're Looking For Education: Bachelor's Degree in Computer Science or equivalent. Experience: 7-10 years of experience in a relevant role. Individual Contribution: Proven track record of significant contributions in previous roles, demonstrating your impact. Architectural Skills: Ability to design and create robust architecture from scratch and evolve existing systems. Communication Skills: Strong communication and presentation skills, with the ability to collaborate with non-engineering stakeholders. Technical Expertise: Experience designing and implementing scalable, reliable, and efficient distributed systems. Familiarity with Java / Go / Kotlin is required. Concurrency: Experience building systems that can execute multiple tasks while managing overlapping run-time and space complexities simultaneously. Application Maintenance: Experience in maintaining and extending large-scale, high-traffic applications. Why Join Us Growing Market: You'll be part of an $80 billion market projected to reach at least $500 billion by 2030 in the US alone. Industry Impact: Join a team that is transforming the restaurant industry and helping restaurants succeed in online food delivery. Collaborative Environment: Benefit from the support and guidance of experienced colleagues and managers, who will help you learn, grow, and achieve your goals. Work closely with other teams to ensure our customers' success. Additional Information This role is based in our Mountain View office. We look forward to sharing more about a meaningful career at CSS!

The Staff Security Software Engineer will be an integral part of building a scalable IAM program for this established crypto company. In this role, you will design and implement scalable security platforms, frameworks, and services across the organization, establishing technical standards and best practices for cloud security and infrastructure as code. Qualifications 7+ years of IAM security expertise 5+ years writing production-level Python and/or Golang Experience with container orchestration technologies like Kubernetes and EKS You dream in Terraform - provider development, complex module design, and enterprise-scale implementations huge plus if you've secured AWS environments at scale Logistics Hybrid: 2 days/week onsite in either San Francisco or NYC. $180K to $250K base salary + bonus & Equity incentives No sponsorship available

Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career We are looking for a Sr Staff Software Engineer to join Global Infra TEAM. The group develops and maintains the backend of Global Infra Platform & Cortex products. You will join a team focused on developing, innovating, and scaling the Global Infra Platform, along with contributing to shared network + compute infrastructures and components. We are looking for candidates with a can-do attitude, who are passionate about complex problems and thrive on bringing value to thousands of customers. Your Impact End-to-end backend development of features and core components across their entire life cycle (design, develop, test, deploy, maintain) Collaborate with peers across different teams and disciplines to shape solutions and integrate with other parts of the product Work with customers and provide solutions to their day-to-day work and challenges Contribute to team-wide efforts - code reviews, design reviews, technical and architectural decision Qualifications Your Experience Education: A Bachelor's or Master's (M.S./B.S.) degree in Computer Science or an equivalent technical field. Experience: 7+ years of professional Software Engineering experience, ideally focusing on the development of scalable server-side applications. Programming: Strong programming proficiency in one or more of the following: Python, Node.js, or TypeScript. Database Knowledge: Solid understanding of and experience with relational databases (SQL), MongoDB, and BigQuery. Collaboration: A demonstrated ability to be a team player with strong communication skills for effective collaboration across cross-functional groups. Core Technical Experience Proven experience building and maintaining high-scale server-side applications. Experience utilizing Cloud Platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. Familiarity with CI/CD pipelines and managing cloud infrastructure. Experience with REST APIs (design, development, and consumption). Knowledge of AI/ML pipelines, Data Science principles, and related technologies like Model Context Protocol Preferred Prior experience with containerization technologies, specifically Kubernetes and/or Docker. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You'll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We're connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $145000 - $235500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We're problem solvers that take risks and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Job Title: Staff Software Engineer Job Type: Perm Salary: Very Competitive based on exp. The Company: Series C AI technology company building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes. Role and Responsibilities: Design and build scalable backend infrastructure to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems that enable secure data retrieval, processing, and model integration. Ensure patient data protection through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance to meet enterprise reliability standards. Partner with product managers and healthcare teams to translate clinical needs into technical solutions. Mentor junior engineers, fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in backend engineering (Python, Go, or Java). Proven experience building distributed systems (databases, pub/sub, Kafka, Redis). Expertise in cloud platforms (GCP or Azure preferred; AWS acceptable). Proficiency with Docker, Kubernetes, CI/CD, and cloud networking. Strong understanding of SaaS architecture, data modeling, and security/privacy frameworks. Excellent communication and collaboration skills. Ability to work LATAM-based hours aligned with PST. Nice to Have: Familiarity with LLM frameworks (e.g., LangChain) or vector databases for AI/ML workloads. Experience in healthcare or regulated environments (HIPAA familiarity is a plus). Interest in mentorship and architectural decision-making at scale. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

This is a full-time role with a client of Dinan & Associates. This role is with an established company and includes excellent health care and other benefits. Role: Principal / Senior Principal Software Engineer Industry: Biotechnology / Pharmaceutical R&D Location: San Francisco Bay Area (Hybrid) The Organization We are a leading global biotechnology company driven to innovate and ensure access to healthcare for generations to come. Our goal is to create a healthier future and more time for patients with their loved ones. The Position Advances in AI, data, and computational sciences are transforming drug discovery and development. Our Research and Early Development organizations have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Our Computational Sciences group is a strategic, unified team dedicated to harnessing the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering innovative medicines for patients worldwide. Within this group, the Data and Digital Solutions team leads the modernization of our computational and data ecosystems by integrating digital technologies to empower stakeholders, advance data-driven science, and accelerate decision-making. The Role The Solutions team develops modernized and interconnected computational and data ecosystems. These are foundational to building solutions that accelerate the work done by Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage, and sharing. As a Software Engineer in the Solutions Engineering capability, you will work closely with Data Engineers, Product Leaders, and Tech/ML Ops, as well as directly with key partners including Computational Scientists and Research Scientists. You will build robust and scalable systems that unlock the potential of diverse scientific data, accelerating the discovery and development of life-changing treatments. Key Responsibilities Technical Leadership: Provide strategic and tactical technical leadership for ongoing initiatives. Identify new opportunities with an eye for consolidation, deprecation, and building common solutions. System Design: Responsible for technical excellence, ensuring solutions are innovative, best-in-class, and integrated by delivering data flows and pipelines across key domains like Research Biology, Drug Discovery, and Translational Medicine. Architecture: Learn, deeply understand, and improve Data Workflows, Application Architecture, and Data Ecosystems by leveraging standard patterns (layered architecture, microservices, event-driven, multi-tenancy). Collaboration: Understand and influence technical decisions around data workflows and application development while working collaboratively with key partners. AI/ML Integration: Integrate diverse sets of data to power AI/ML and Natural Language Search, enabling downstream teams working on Workflows, Visualization, and Analytics. Facilitate the implementation of AI models. Who You Are Education: Bachelor's or Master's degree in Computer Science or similar technical field, or equivalent experience. Experience: 7+ years of experience in software engineering (Principal Software Engineer level). 12+ years of experience (Sr. Principal Software Engineer level). Full Stack Expertise: Deep experience in full-stack development is required. Strong skills in building Front Ends using JavaScript, React (or similar libraries) as well as Backends using high-level languages like Python or Java. Data & Cloud: Extensive experience with Databases, Data Analytics (SQL/NoSQL, ETL, ELT), and APIs (REST, GraphQL). Extensive experience working on cloud-native architectures in public clouds (ideally AWS) is preferred. Engineering Best Practices: Experience building data applications that are highly reliable, scalable, performant, secure, and robust. You adopt and champion Open Source, Cloud First, API First, and AI First approaches. Communication: Outstanding communication skills, capable of articulating technical concepts clearly to diverse audiences, including executives and globally distributed technical teams. Mentorship: Ability to provide technical mentorship to junior developers and foster professional growth. Domain Knowledge (Preferred): Ideally, you are a full-stack engineer with domain knowledge in biology, chemistry, drug discovery, translational medicine, or a related scientific discipline. Compensation & Benefits Competitive salary range commensurate with experience (Principal and Senior Principal levels available). Discretionary annual bonus based on individual and company performance. Comprehensive benefits package. Relocation benefits are available. Work Arrangement Onsite presence on the San Francisco Bay Area campus is expected at least 3 days a week.

Retrieval is the data infrastructure for AI and a critical component in this new software development stack. Chroma proudly serves as the leading retrieval solution, trusted and loved by developers around the world. We're still in the pre-history of AI. We're looking for curious people who are dedicated to becoming world-class at their craft to join our team. There is a lot of important work to do. Join us.

About this role What we're looking for? The Enterprise Integrations Platform team is responsible for envisioning, architecting, and driving Envoy's long-term vision for success in integrating with large-scale vendors. This team is responsible for the backend platform and services that enable the creation of the future of buildable integrations. The team's focus areas include making architectural decisions to ensure the integration platform is secure and reliable, solving scaling issues and optimizing performance, and improving the internal developer experience through an ever-evolving platform SDK. You will: Stand up new services that improve the safety, reliability, and accuracy of our access control systems Examine, improve, and challenge the existing modalities of how we manage ACS today Collaborate with team members to bounce ideas off each other and see delivery of value to customers from start to finish Design MVPs with strong technical foundations, and iterate on them with product feedback You have: 7-13 years of software engineering experience or coding experience BS / MS in Computer Science or a related technical field Created and supported APIs (REST, JSON/HTTP, GraphQL) Typescript or Kotlin development experience in writing, maintaining, and debugging code in a production environment. Domain knowledge such as message queues, sharding, auto scaling, and access patterns Strong technical foundations for patterns and anti-patterns in software engineering An inner product champion who takes pride in knowing and planning what great can look like, not just good You are: A self-starter and choose action. You look for problems and inefficiencies in code and find elegant solutions to them before they become major blockers. An advocate for the end-user. You think about how our customers will interact with the service and champion positive changes. A systems thinker. You think about how your designs will affect other aspects of the service and how it will evolve in the future. A curious lifelong learner. Someone who enjoys technology and learning new things, like staying up to date on new tools and techniques. You are inspired by what's possible and eager to incorporate the best technologies into your work. Mindful of performance. You think people deserve access to their data in milliseconds. Security-minded. We exist because of our customers. When security is breached, trust is lost. A champion for high-quality software. You realize the value of automated testing and write code with excellent test coverage. A team player. You believe in collaboration, value different perspectives to make better decisions, and positively contribute to team dynamics.

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments - stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. Location: Onsite, Sunnyvale, California (5 days a week in the office) Our Team's Vision: Our Engineering team has established a culture based on thought leadership, independence, and responsibility. This powerful dynamic drives us forward as we work to make the digital world a safer place. Those who join us represent the leader in Zero Trust Segmentation and work on a technology stack that ranges from operating systems to distributed applications to UI and visualization. Together, we will continue to build world-class products-driven by people with different perspectives, backgrounds, and a commitment to innovation in a time when the world faces its greatest cybersecurity threats in history. Your Impact: Innovate and Disrupt: Develop products that revolutionize network segmentation, enhancing the protection of data centers and cloud stacks against attacks. Full-Stack Development: Design, develop, and test comprehensive full- stack applications using the latest native browser APIs, web servers, and frontend frameworks. Architectural Contribution: Enhance the full-stack architecture of web applications, including deployment, configuration, build systems, component libraries, style guides, and responsiveness. Evaluate and adopt open-source solutions. User Interaction Optimization: Identify and optimize user interaction workflows across UI applications, ensuring quality and consistency. User Experience and Design: Collaborate with UI experts to make decisions around user experience and visual design. Cross-Team Collaboration: Work with other development teams to improve the usability of cross-services APIs. Code Quality Ownership: Implement industry best practices for linting, static typing, unit testing, and functional/integration testing to build robust and resilient products. Product Partnership: Partner with Product Management to review, refine, and set product goals that exceed customer expectations. Customer Understanding: Develop a deep understanding of the fundamental problems our customers need to solve through interaction with stakeholders and peers Your Toolkit: Education: Bachelor's degree in computer science or a related field; a Master's degree is a plus. Experience: 2+ years of experience building UI for modern web applications and/or custom UI frameworks at scale. Strong foundation in software engineering and design pattern fundamentals. Proven problem-solving skills and the ability to optimize code for the best possible outcomes. Technical Skills: Experience in modern web application development using JavaScript, CSS, and HTML, including ES6+ syntax, CSS levels, and HTML5+ standards. 2+ years of experience with the React library. Familiarity with tools like Redux, TanStack, and Reselect is a plus. 2+ years of experience with Node.js for building web services and developer tools, including API design, performance optimization, and production deployment. 2+ years of experience with UI quality tools such as TypeScript and Cypress. Knowledge of frameworks like Jest and React Testing Library is a plus. Experience with Docker, Kubernetes, and deployment pipelines such as ArgoCD and Jenkins is a plus. Aesthetics and Detail: A keen eye for aesthetics and UI details. Passion and Growth: Passion for software development, a willingness to constantly learn, stay updated with technological trends, and work effectively in a team setting. #LI-PO1 #LI-ONSITE Our Commitment: Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.

Member of Technical Staff - Applied AI / ML Engineer San Francisco, Union Square (Onsite) • Up to $325K + stock options We're partnering with an AI startup in San Francisco that operates in the tax and accounting automation space to hire a Member of Technical Staff focused on Applied AI / ML. The company builds GenAI-driven systems that turn complex, unstructured documents into accurate, structured data at scale. They were recently acquired by a major global tech company, and this role has full end to end ownership of production ML systems. What you'll do: Building the ML and backend infrastructure that powers their core product Improving datasets, inference systems, and domain logic as they scale to millions of documents Working directly with accountants and end users to understand practical requirements Owning ML components end-to-end and integrating them into a cohesive product Translating expert-level tax and accounting knowledge into scalable software systems What we're looking for: 4+ years of ML engineering experience, focused on building production systems that deliver real end-user value Strong Python skills, plus experience with LLMs and LLM APIs Ability to work with large datasets and build accurate, scalable data and ML pipelines Someone who can work directly with customers and product to understand requirements and turn them into working solutions High trajectory shown through promotions or increasing ownership If this sounds like a strong fit and you'd like to find out more about this role please apply and we'll be in touch.

🚀 Backend Engineer - High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K-$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an AI application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team. What You'll Do Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views. Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines. Build and maintain integration layers for REST APIs, SQL sources, and third-party systems. Collaborate with the applied AI engineering team to integrate automation and intelligence across systems. Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) 4-15 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend architectures. Experience designing complex data models and managing asynchronous tasks/workflows. Prior experience working in early-stage startups or high-growth environments. Experience integrating multiple systems, including REST APIs and SQL sources. Excited by building scalable systems and comfortable in a startup environment. Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves Experience building or integrating AI / LLM-powered applications. Familiarity with Temporal or similar orchestration/workflow systems. Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? Competitive salary: $200K-$325K + meaningful equity (1%+) in an early-stage company. Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products. Shape the architecture and direction of a high-impact backend system used across complex workflows. Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

Location: San Jose (full time onsite) Engagement: Contract (1099 or W2) Duration: 6-12 months FTE conversion thereafter. Hourly rate: The focus is on finding the right person, therefore open to market rate. Overview In this senior leadership capacity, you will spearhead the engineering of sophisticated flight emulation platforms designed for rigorous system certification and pilot-interaction studies. You will be responsible for modernizing deployment workflows through automated integration cycles and partnering with multidisciplinary teams to synchronize physical components within synchronized, real-time testing frameworks. By overseeing the full lifecycle of virtualized environments-ranging from component-level benches to full-scale "Iron Bird" rigs-you will ensure simulation accuracy by reconciling digital outputs with empirical data from live flight operations. Beyond the technical architecture, you will define the UI strategy for simulation control, manage the resolution of intricate distributed system anomalies, and cultivate a culture of elite technical mentorship and strategic project execution. Requirements: 10+ years of experience in simulation software development and systems integration. Bachelor's or higher degree in Aerospace, Software, Electrical Engineering, Computer Science, or a related field. Seasoned technical lead for an engineering team; providing guidance in planning and execution. Advanced proficiency in C/C++ and Python. Expert in MATLAB/Simulink and Python. Extensive experience developing real-time HIL test infrastructures. Proven ability to develop simulation tools with a focus on usability, modularity, and performance. Expert of communication standards and protocols (RS-422/485, CAN/CAN-FD, ARINC-429, Ethernet, TCP/IP, USB etc…) Experience prototyping Graphical User Interfaces based on user feedback. Knowledgeable with software engineering practices including CI/CD (GitHub Actions, Jenkins), test-driven development, and agile methodologies. Strong problem-solving and debugging skills with a proactive, solutions-oriented mindset. Comfortable working in cross-disciplinary teams and mentoring junior engineers. Preferred Qualifications Experience with aerospace, spacecraft, or robotics systems-including modeling of flight dynamics, sensor-actuator loops, or avionics. Proficiency in the NI software suite (LabVIEW, VeriStand). Experience developing and troubleshooting custom code (i.e. plugins, logical devices, custom devices) for real-time OS Background in simulation infrastructure for VTOL, rotorcraft, or autonomous vehicles. Understanding of control theory, GNC algorithms, and physics-based modeling. Hands-on experience with HIL/SIL test rigs, hardware communication protocols, and test instrumentation. Exposure to regulatory frameworks (FAA, DoD, NASA) and test certification environments. Startup or fast-paced development experience is a plus. Experience automating and executing test plans. Familiarity with fault injection methodologies. Familiarity with lab

The Staff Security Software Engineer will be an integral part of building a scalable IAM program for this established crypto company. In this role, you will design and implement scalable security platforms, frameworks, and services across the organization, establishing technical standards and best practices for cloud security and infrastructure as code. Qualifications 7+ years of IAM security expertise 5+ years writing production-level Python and/or Golang Experience with container orchestration technologies like Kubernetes and EKS You dream in Terraform - provider development, complex module design, and enterprise-scale implementations huge plus if you've secured AWS environments at scale Logistics Hybrid: 2 days/week onsite in either San Francisco or NYC. $180K to $250K base salary + bonus & Equity incentives No sponsorship available

Member of Technical Staff - Applied AI / ML Engineer San Francisco, Union Square (Onsite) • Up to $325K + stock options We're partnering with an AI startup in San Francisco that operates in the tax and accounting automation space to hire a Member of Technical Staff focused on Applied AI / ML. The company builds GenAI-driven systems that turn complex, unstructured documents into accurate, structured data at scale. They were recently acquired by a major global tech company, and this role has full end to end ownership of production ML systems. What you'll do: Building the ML and backend infrastructure that powers their core product Improving datasets, inference systems, and domain logic as they scale to millions of documents Working directly with accountants and end users to understand practical requirements Owning ML components end-to-end and integrating them into a cohesive product Translating expert-level tax and accounting knowledge into scalable software systems What we're looking for: 4+ years of ML engineering experience, focused on building production systems that deliver real end-user value Strong Python skills, plus experience with LLMs and LLM APIs Ability to work with large datasets and build accurate, scalable data and ML pipelines Someone who can work directly with customers and product to understand requirements and turn them into working solutions High trajectory shown through promotions or increasing ownership If this sounds like a strong fit and you'd like to find out more about this role please apply and we'll be in touch.

🚀 Backend Engineer - High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K-$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an AI application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team. What You'll Do Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views. Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines. Build and maintain integration layers for REST APIs, SQL sources, and third-party systems. Collaborate with the applied AI engineering team to integrate automation and intelligence across systems. Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) 4-15 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend architectures. Experience designing complex data models and managing asynchronous tasks/workflows. Prior experience working in early-stage startups or high-growth environments. Experience integrating multiple systems, including REST APIs and SQL sources. Excited by building scalable systems and comfortable in a startup environment. Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves Experience building or integrating AI / LLM-powered applications. Familiarity with Temporal or similar orchestration/workflow systems. Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? Competitive salary: $200K-$325K + meaningful equity (1%+) in an early-stage company. Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products. Shape the architecture and direction of a high-impact backend system used across complex workflows. Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

🌎 San Francisco (Hybrid) 💼 Founding/Staff Engineer 💵 $200-300k base Our client is an AI-native research and product lab on a mission to redefine how global finance operates. Backed by a team that includes former Google DeepMind researchers and engineers, they are applying frontier AI to some of the most complex, high-stakes problems in finance. This is a true founding engineer opportunity. You'll help turn cutting-edge AI research into production systems used by real financial institutions, while shaping the technical foundation, standards, and culture from the ground up. What you'll do Build core product features end-to-end, spanning frontend, backend, and infrastructure using TypeScript, React, and Node.js. Productionize frontier ML research, working closely with researchers to ship robust, user-facing AI systems. Design and own critical services, architecting reliable, scalable infrastructure with Docker and Kubernetes. Set the engineering bar as a founding team member-establishing standards for code quality, testing, and development workflows. Prototype rapidly, ship decisively, and iterate continuously, collaborating closely with product managers, designers, and researchers. Make thoughtful architectural decisions, including rewriting systems when it meaningfully improves long-term quality and simplicity. The ideal candidate: Have built polished, high-performance web applications end-to-end, from design through production deployment. Are deeply fluent in modern frontend development, including TypeScript, React, Tailwind, and Next.js. Can comfortably design and evolve backend microservices (Node.js or Python) to deliver features end-to-end. Are an expert in at least one statically typed language and have strong instincts around type safety, maintainability, and correctness. Have experience deploying production systems with Docker and Kubernetes on GCP Use AI as a productivity multiplier-but critically evaluate AI-generated code, catching bugs and calling out poor design. Thrive in a high-performance, high-ownership environment alongside other strong engineers. Enjoy tackling technically deep, ambiguous problems and thinking carefully about product tradeoffs. Nice to have: Experience working with ML or applied research teams, or familiarity with ML pipelines. Background in fintech, trading, quant platforms, or other high-stakes domains. Prior experience as an early-stage or founding engineer.

The Staff Security Software Engineer will be an integral part of building a scalable IAM program for this established crypto company. In this role, you will design and implement scalable security platforms, frameworks, and services across the organization, establishing technical standards and best practices for cloud security and infrastructure as code. Qualifications 7+ years of IAM security expertise 5+ years writing production-level Python and/or Golang Experience with container orchestration technologies like Kubernetes and EKS You dream in Terraform - provider development, complex module design, and enterprise-scale implementations huge plus if you've secured AWS environments at scale Logistics Hybrid: 2 days/week onsite in either San Francisco or NYC. $180K to $250K base salary + bonus & Equity incentives No sponsorship available