Requirements engineer jobs in Richmond, CA - 5,181 jobs

A financial technology startup in San Francisco is seeking a Machine Learning Engineer to design and deploy advanced machine learning solutions. The ideal candidate should have over 3 years of experience and be proficient in Python and ML frameworks. You will play a critical role in improving application approval automation and fraud detection capabilities. Offering a competitive salary between $175k and $250k, with equity and benefits, this position provides immense opportunities for personal and professional growth. #J-18808-Ljbffr

A moonshot company is seeking a Machine Learning Engineer/Scientist in San Francisco. You will develop ML systems that drive scientific discovery, focusing on cryopreservation technologies. Ideal candidates have strong foundations in mathematics and machine learning, as well as practical experience with Python and relevant libraries. This position offers a competitive salary range of $140,000 - $240,000 and generous benefits including flexible time off. #J-18808-Ljbffr

We're building the AI platform for underserved industries. LLM usage has seen a meteoric rise in the past year, but there is still a significant gap between agentic innovation and its use in the real world. This is especially true for underserved industries like automotive and healthcare, where outdated systems persist due to barriers to entry, legacy software, and high‑stakes consequences of hallucinations and failure. Here at Toma (YC W24), we are bridging this gap by providing a customer‑centric platform to deploy and monitor AI agents, even for non‑technical users. We recently raised a $17M Series A from a16z and are building the future of human‑AI interactions, starting in the automotive industry. Our Team We're assembling a team of Avengers: engineers, product managers, former founders, athletes, and leaders from Scale AI, Uber, Braze, Microsoft, Amazon, and more. We consider everyone regardless of their backgrounds or identities. Learn more about us here. About this Role We're looking for a Software Engineer hungry for ownership and eager to drive real impact. In this role, you'll have the autonomy to build new AI‑powered features, influence product direction, and help fuel our growth. You'll partner closely with product and design to deliver fast, reliable, and magical user experiences, and your work will directly shape the future of our platform. This role is hands‑on: you'll build net‑new products, write production code, and see your work go live with real customers quickly. What you will do Take ownership of net new AI features and products (dashboard, real‑time voice AI, support tooling) Write production‑grade TypeScript across the stack (Next.js, Bun) Help guide teammates through code reviews and technical discussions Collaborate with Product and Design to set priorities and ship quickly Integrate intelligent features into the product experience and drive growth Work closely with customers to translate their feedback into improvements Preferred Qualifications Experience in TypeScript, low‑level Node.js (Bun), T3 Stack (Next.js, React, Prisma, PostgreSQL, NextAuth, tRPC) 1+ years of experience building and scaling full‑stack web applications Desire to own projects end‑to‑end in a fast‑paced environment Passion for learning, craft, and shipping high‑quality features quickly Desire to continuously learn Don't think you meet all the qualifications? Apply anyway. We'd love to hear what excites you about us, and we may have a role that's a good fit for you. Benefits MacBook Pro 16" M4 Max (or newest high‑end equivalent) Free daily in‑office lunch and dinners Competitive salary with meaningful equity Free health, dental, and vision insurance Weekly team outings and customer visits Unlimited PTO #J-18808-Ljbffr

Simbe Robotics is a leading retail robotics company providing in‑store intelligence solutions that help retailers optimize operations, improve shelf execution, and unlock valuable data insights. Our autonomous robots and multi‑modal data collection systems are transforming how retailers manage inventory and make data‑driven decisions. Position Overview Simbe is in the early stages of identifying an Engineering Leader with deep experience in robotic or IoT systems, someone who knows how to take complex, cross‑disciplinary products from 1 to 100. This leader will directly oversee and align Simbe's software and data‑focused teams, including Robotics Software, Web and Cloud Engineering, and Data Science, ensuring technical cohesion, product delivery, and operational excellence as we scale. The role will work in close partnership with Hardware R&D, Production Engineering, and Digital Product Management, and collaborate with Computer Vision and AI leadership to deliver high‑quality, reliable, and customer‑ready systems. We're looking for someone who: Has led multi‑disciplinary engineering organizations building real‑world deployed robotic or IoT systems. Brings experience implementing scalable processes, quality standards, and engineering rigor without losing startup agility. Understands what it takes to deliver enterprise‑grade products for Tier 1 B2B customers. Leads with respect and credibility - capable of guiding teams who have taken the product from inception, while evolving the organization for growth. Shares a deep belief in Simbe's mission and the impact of robotics in the retail industry. $250,000 - $350,000 a year The base salary offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job‑related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including equity compensation, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. At Simbe, you will be at the forefront of retail innovation, working with cutting‑edge AI and robotics technologies to transform retail operations. Our culture is dynamic, inclusive, and driven by a passion for improving the way retailers operate and serve their customers. Join us to be a part of a team that is not only reshaping the future of retail but also offering immense value to our clients worldwide. Simbe Values Result Driven - We are customer‑centric and results‑driven. We strive to create immense value for our team, partners, customers, and investors. Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally. Transparent - We highly value open communication internally, and with our partners and customers. We are receptive to feedback. Agile - We are agile and always eager to learn. We quickly adapt to changes and customer needs. Innovative - We are bold and innovative, with an intense focus on product design and user experience. Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field. #J-18808-Ljbffr

VOLT AI is looking for a GTM Engineer to design, build,く and automate the systems that power our go‑to‑market motion. This is a technical role, not a traditional marketing or RevOps position. You will apply software engineering, data, and automation to scale how we generate demand, qualify leads, convert pipeline, and learn from customer interactions. You will work across CRM systems, marketing platforms, data pipelines, and the website to build end‑to‑end GTM automation-from first touch through revenue and expansion. This role is ideal for someone who enjoys engineering leverage into sales and marketing systems and wants to build scalable, measurable GTM infrastructure. Key Responsibilities Own CRM data integrity, including custom objects and integrations, pipeline hygiene, attribution and reporting accuracy, and integration with marketing, product, and analytics systems Develop internal GTM tooling using code and automation, including APIs, webhooks, and event‑driven integrations, Python and scripting for data processing and automation, and automation that reduces manual work for sales and marketing teams Integrate product usage and behavioral data into GTM systems to improve customer delight and retention, trigger contextual outreach UNKand follow‑ups, and support expansion and upsell workflows Build dashboards and analytics that provide funnel visibility from lead to revenue, conversion, velocity, and drop‑off insights, and feedback loops for continuous GTM optimization Partner closely with sales, marketing, and product to translate GTM strategy into automated systems, rapidly test and iterate on GTM experiments, and scale what works while eliminating manual or low‑leverage processes Required Qualifications 5+ years of experience in GTM Engineering, Growth Engineering, or Automation Engineering Strong engineering mindset with hands‑on coding experience Proficiency in Python, JavaScript, or similar languages for automation Experience working with CRMs (e.g., HubSpot, Salesforce) at a systems level Experience integrating CRM, enrichment platforms (629, Clay, Apollo), and analytics systems Strong understanding of data flows, APIs, and event‑driven systems Ability to work cross‑functionally with sales, marketing, and product teams Preferred Qualifications Experience with HubSpot CRM platform Experience with marketing automation tools and analytics platforms Experience building or optimizing high‑conversion websites Background in growth engineering or data‑driven marketing Experience in B2B SaaS or enterprise GTM environments Comfort operating in fast‑moving startup environments What Success Looks Like GTM systems are integrated, workflows are automated, reliable, and scalable Sales and marketing teams spend less time on manual tasks Funnel performance and attribution are clearly visible and trusted Conversion rates and pipeline velocity improve measurably ирғ GTM systems become a competitive advantage for VOLT AI $120,000 - $150,000 a year At VOLT AI, you'll apply engineering leverage to revenue generation, building systems that directly impact growth and scale. This role is for someone who wants to build GTM infrastructure, not just manage tools, and who believes GTM systems deserve the same engineering rigor as product systems. #J-18808-Ljbffr

ServiceNow Platform Engineer at Crowell & Moring - San Francisco, CA, United States ServiceNow Platform Engineer at Crowell & Moring - San Francisco, CA, United States Job Description Job Summary: The ServiceNow Platform Engineer is responsible for the development, management, and growth of the ServiceNow platform within the firm. The Engineer will lead technical efforts to ensure the platform aligns with the firm's business strategy across all US and International offices. The role will also provide consultative technical leadership to the ServiceNow platform's third-party vendor team, maintaining a detailed view of the existing architecture, and designing, developing, configuring, and customizing ServiceNow applications and services. The Engineer will also be responsible for maintaining and continually improving the implemented modules, including ITSM, ITFM, HRSD, ITOM, and SPM. Additionally, the Engineer will collaborate with cross-functional teams to gather requirements and translate them into effective technical solutions. Responsibilities: Administers, configures, and maintains the ServiceNow platform, focusing on IT Service Management (ITSM) and Strategic Portfolio Management (SPM) applications. Manages out-of-the-box functionality and perform necessary enhancements, upgrades, and maintenance. Develops and implements fixes for bugs and issues in ServiceNow production for ITSM and SPM. Creates and modifies forms, fields, and workflows according to requirements. Oversees change control and coordinates the release management process for ServiceNow. Builds dashboards and reports for IT Management and firm leadership. Reports on and manages data within the ServiceNow platform including imports and exports, ensuring data integrity and security. Handles onboarding and offboarding of ServiceNow users and ensures effective user access management and platform security, complying with regulations and internal policies. Utilizes ServiceNow scripting modules such as Client Scripts, UI Policies, and Business Rules to develop, customize, manage forms and fields. Serves as the technical expert for ServiceNow design and support issues. Ensures all ServiceNow applications and services are current, reliable, tuned, and accessible in accordance with service level agreements. Designs and implements robust ServiceNow platform enhancements to improve functionality and the overall end-user experience. Creates and modifies knowledge base articles to enhance user support and documentation. Resolves incidents and service requests promptly. Qualifications Knowledge, Skills and Abilities: Demonstrated knowledge of IT Service Management (ITSM) and Strategic Portfolio Management (SPM) principles. Proficiency in ServiceNow scripting modules like Client Scripts, UI Policies, Business Rules, etc. Develops and maintains queries against Microsoft SQL databases such as Microsoft SQL, to prepare reporting statistics (KPIs) and status reports Knowledge of ITIL (Change, Incident, Problem Management), hardware and software asset management, and ticketing systems. Proficient working with ServiceNow components such as Automated Discovery Tool, Service Catalog, Discovery and Knowledge management is a requirement ITIL v3 Foundations certification minimum or working knowledge of the ITSM/ ITIL Framework is a requirement ServiceNow Certified System Administrator (CSA) required. ServiceNow Certified System Implementation Specialist is preferred. Excellent problem-solving skills and attention to detail. Ability to work independently and collaboratively in a team environment. Service-oriented mentality with a high sense of ownership and proactive issue resolution. Strong communication skills, both verbal and written. Education A bachelor's degree in computer science, information technology, or a related field. Equivalent training and experience may substitute for education. Experience Additional Information Crowell & Moring LLP offers a competitive compensation and comprehensive benefits package. Our benefits include healthcare, vision, dental, retirement, and all-purpose leave and progressive options such as back up childcare, wellness programs, cultural events and social activities. We take great pride in our positive, friendly culture that rewards hard work and success, at the same time recognizing the importance of family and community service. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our Firm is committed to fair and equitable compensation practice in accordance with applicable laws. The pay range for this position is $109,000 - $143,000. Additional compensation may include a discretionary bonus. Other benefits include healthcare, vision, dental, retirement, and all-purpose leave. The salary for this position may vary based on location, market data, an applicant's skills and prior experience, certain degrees and certifications, and other factors. EOE m/f/d/v Crowell & Moring LLP participates in the E-Verify program. #J-18808-Ljbffr

Eridu AI is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate training and inference for large-scale AI models. Today's AI performance is frequently limited by system-level bottlenecks. Eridu AI delivers multiple industry-first innovations across semiconductors, software, and systems to unlock greater GPU utilization, reduce capital and power costs, and maximize data center efficiency. The company's solutions and value proposition have been validated by several leading hyperscalers. The company is led by a veteran team of Silicon Valley executives and engineers with decades of experience in state-of-the-art semiconductors, optics, software, and systems, including serial entrepreneur Drew Perkins, co-founder of Infinera (NASDAQ: INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (World's leading micro-LED company and developer of the first augmented reality contact lens). Responsibilities Provide technical leadership for PCIe microarchitecture and RTL execution, ensuring robust design and adherence to performance, power, and area goals. Develop high-performance PCIe buffering, schedulers, and protocol engines. Own RTL development, including coding, documentation, code reviews, lint/CDC readiness, and block-level debug. Collaborate with Verification to define test plans, PCIe VIP usage, coverage goals, and debug complex protocol behaviors. Collaborate with Physical Design for timing closure in synthesis and place-and-route. Support post-silicon PCIe bring-up and validation focused on protocol correctness, link behavior, and subsystem performance. Collaborate with system and chip architects to ensure PCIe subsystem behavior aligns with chip-level bandwidth, latency, and power objectives. Partner with Architecture, DV, and Physical Design teams to achieve power, performance, and timing closure targets. Qualifications MSEE with 15+ years of ASIC/SoC RTL design experience. Proven success designing PCIe controller or PCIe protocol logic (Gen4/Gen5/Gen6). Deep knowledge of PCIe LTSSM, TLP/FLIT pipelines, flow control, ordering rules, error mechanisms, and performance tuning. Strong RTL design skills with experience in multi-clock domains, timing closure, datapath optimization, and hardware/firmware partitioning. Familiarity with SerDes behavior (equalization, training sequences) as required for correct PCIe protocol implementation. Familiarity with full ASIC design flow (DFT, synthesis, timing, and physical implementation considerations). Excellent analytical, problem-solving, and communication skills, with the ability to drive cross-functional technical execution. Why Join Us? At Eridu AI, you'll have the opportunity to shape the future of AI infrastructure, working with a world‑class team on groundbreaking technology that pushes the boundaries of AI performance. Your contributions will directly impact the next generation of AI networking solutions, transforming data center capabilities. The starting base salary for the selected candidate will be established based on their relevant skills, experience, qualifications, work location, market trends, and the compensation of employees in comparable roles. The pay range for this role is: 210,000 - 275,000 USD per year (San Francisco Bay Area) #J-18808-Ljbffr

A technology startup in San Francisco is seeking a skilled engineer to join their team. In this role, you will own the delivery of user experiences and work closely with founders to shape product and engineering culture. The ideal candidate has over 4 years of engineering experience, a customer-focused mindset, and familiarity with React and TypeScript. This position is fully in-person offering competitive salary and benefits. #J-18808-Ljbffr

A healthcare technology company is hiring a Machine Learning Infrastructure Engineer in San Francisco. You'll design and maintain infrastructure for ML model training and workflows, collaborating with ML engineers to optimize model deployment. The role offers a competitive salary range of $200,000-$300,000 annually, focusing on cutting-edge AI technology impacting healthcare providers and patient care. #J-18808-Ljbffr

A leading social media platform in Palo Alto is seeking a Machine Learning Engineer/Economist to enhance the efficiency of its marketplace. The ideal candidate should possess a degree in a relevant field and have experience in data analysis and machine learning. This role involves building statistical models and driving cross-functional collaboration. A competitive salary range from $177,309 to $310,291 is offered, along with potential equity benefits. #J-18808-Ljbffr

Applied SciML (Scientific Machine Learning) Engineer Santa Clara, United States | Posted on 10/16/2025 Role: Applied SciML (Scientific Machine Learning) Engineer MUST HAVE: Job Description We're looking for an engineer with deep expertise in scientific machine learning and computational geometry to build production ML systems for physical simulation data. Requirements Core Deep Learning Experience (3+ years) Hands‑on deep learning training with scientific datasets: CAD geometries, CFD simulations, or similar physical data End‑to‑end model development: data preparation, training, hyper‑parameter tuning Multi‑GPU training and GPU memory optimization PyTorch and PyTorch Lightning proficiency Technical Depth Demonstrated experience (via publications in top venues or 3+ years industry experience) in one or both areas: Computational Geometry: PointNet, DGCNN, TripNet, MeshGPT, or similar geometric deep learning architectures Scientific ML: PINNs, DeepONet, FNO, Transformers for physics, SCoT, Poseidon, or related physics‑informed models Evidence of impact - publications in leading ML/computational science conferences/journals or a proven track record building SciML systems in industry #J-18808-Ljbffr

A leading AI research company is seeking a privacy engineer in San Francisco. You will protect user data while ensuring AI system efficiency, employing techniques like differential privacy and federated learning. Responsibilities include designing privacy-preserving algorithms, investigating privacy-performance trade-offs, and developing documentation. Ideal candidates have experience with privacy technologies and deep learning. OpenAI promotes a diverse environment and offers relocation assistance. #J-18808-Ljbffr

A leading educational technology company in San Francisco is seeking a Senior or Staff Machine Learning Engineer to design and implement large-scale recommendation systems. Ideal candidates will have over 10 years of experience with personalization and ranking systems. This onsite position requires strong skills in Python and PyTorch and a commitment to responsible machine learning practices. Competitive compensation includes salaries from $209,920 to $285,000 plus stock options. #J-18808-Ljbffr

The Role: Are you a creative and technical problem-solver with a passion for 3D graphics? Join our team of talented engineers and artists to build high-fidelity simulations that will be instrumental in developing safe and reliable self-driving cars. This role offers the rare opportunity to bridge the gap between artistic vision and engineering rigor. You'll work on complex, large-scale virtual environments, addressing critical fidelity and performance challenges that directly impact the safety and reliability of autonomous vehicles. Collaborate within a highly interdisciplinary team of world-class Artists, Engineers, and Research Scientists to redefine the boundaries of simulation technology, and create innovative tools, pipelines, and workflows for artists. What you'll do: 3D Asset Pipeline Development: Lead the development of a cutting-edge asset generation pipeline for our new real-time, GPU-based ray tracing engine, defining the foundational standards and conventions that will drive future advancements in photorealistic simulation. Content Authoring Tools: Integrate external Digital Content Creation tools such as Maya and Unreal Editor with our simulation and rendering stack. Build workflows to author assets for our USD based renderer. Rendering Optimization: Architect and implement advanced content authoring strategies to significantly reduce cloud compute costs, leveraging state-of-the-art techniques in geometry, material, shader, and texture optimization to achieve optimal performance. Performance Monitoring: Develop systems to validate and monitor asset fidelity and performance, actively analyzing realism perceived by computer vision models. Scripting and Automation: Develop tools and scripting APIs to automate the creation and management of assets. Tool Development: Assist artists and engineers via tool development, concept testing of new ideas, and building rapid prototypes. Collaboration: Work closely with engineers, designers, and researchers to understand testing requirements and translate them into effective simulation environments. Work hand in hand with Cruise Machine Learning Engineers to develop simulations that best test and train our ML Models. Quality Assurance: Provide front-line production support across multiple disciplines, troubleshoot assets and scenarios, and help artists with problem-solving. Triage and redirect problems to appropriate engineering teams. Your Skills and Abilities: 5+ years experience as a technical artist (or equivalent capacity) in visual effects, animation, simulators, 3D games, or other high-performance systems. Bachelor's degree or higher in Computer Science, specifically with a concentration or focus in Computer Graphics Proven experience creating Python scripts to streamline content creation Experience with C++ for performance critical engineering and software application development Strong 3D content pipeline knowledge with a deep understanding of modeling, texturing, animation, and lighting. Proficient with profiling tools to diagnose performance issues and identify how to optimize scenes. In-depth knowledge of real-time rendering including physically-based rendering (PBR) pipelines, shader authoring in MDL (or similar shader language) or shader graphs as well as shader performance profiling and optimization. What Will Give You A Competitive Edge: Demonstrated experience in generating high-quality synthetic data for machine learning model training and validation, with an understanding of its critical role in autonomous system development NVidia Optix, MDL, and USD experience is highly desirable Film or VFX Studio tools or Pipeline Engineer experience. Unreal Engine 4 experience with blueprints and material editor Maya experience A portfolio or reel, including a detailed breakdown of your work in each section. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington. The salary range for this role is ($160,200 and $246,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more. #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A pioneering technology firm in San Francisco seeks a Staff Machine Learning Engineer to lead the integration of core technology with partner platforms like AWS and Databricks. This role requires over 10 years of experience in industry, focusing on developing and implementing fault-tolerant systems and collaborating closely with partners to drive product impact. Candidates should excel in mentoring, technical roadmaps, and maintaining high engineering standards. #J-18808-Ljbffr

A leading AI technology firm in San Francisco is seeking an experienced AI/ML Engineer to work on advancing knowledge retrieval capabilities through innovative technology solutions. Successful candidates will have over 3 years of experience in the field, proficient in PyTorch or TensorFlow, and possess strong collaboration abilities. This in-person role offers competitive compensation and opportunities for professional growth. #J-18808-Ljbffr

A leading technology firm in California is looking for an experienced Staff Machine Learning Engineer. In this role, you will drive the technical direction of machine learning technology, design and build impactful solutions, and lead cross-team initiatives. The ideal candidate has extensive experience in machine learning and is skilled in collaboration and mentorship. This position offers competitive compensation with equity options and emphasizes a diverse and inclusive workplace. #J-18808-Ljbffr

A leading technology company is seeking a Staff Machine Learning Engineer based in Mountain View, CA. In this pivotal role, you will develop and deploy advanced machine learning models to address challenges in today's complex electric grid. You will lead model building efforts, mentor junior engineers, and collaborate on cross-functional projects. Ideal candidates have over 10 years of experience in machine learning, strong Python skills, and familiarity with ML frameworks like PyTorch and TensorFlow. Join us and make a significant impact on the energy future. #J-18808-Ljbffr