Engineering associate jobs in Walnut Creek, CA - 4,571 jobs

A leading technology company is seeking a Senior Generative AI Software Engineer to drive the evolution of cutting-edge AI models and infrastructure. You will refactor research code, build model-serving endpoints, and ensure code quality across teams. Candidates should be proficient in Python and PyTorch with over 10 years of experience. This position offers competitive salary ranges between $224,000 and $425,500 depending on level and experience. #J-18808-Ljbffr

Software development experience in one or more general‑purpose programming languages such as Golang or Java Knowledge of computer science fundamentals such as object‑oriented design, algorithm design, data structures, problem solving, and complexity analysis Experience with distributed, multi‑tiered systems, caching, and relational databases Effectively articulate technical challenges and solutions Ability to communicate effectively at all levels internally-software engineers, managers, cross‑functional teams, and across a variety of formats such as technical design and external‑facing presentations Sets the bar for operational excellence and drives improvements in customer SLAs and system KPIs Experience & Qualifications 6 months - 2 years of professional work experience in Golang (GO) and/or Java Experience with distributed systems, caching mechanisms (e.g., Redis, Memcached), and relational databases Experience in building backend applications and translating requirements into precise low‑level designs (LLD) Experience in the gaming industry is preferred, but we also welcome those with a passion for working on services that power games Proficient in working with cloud providers such as AWS, Azure, or GCP Bachelor's degree in Computer Science or a technical field of study, or equivalent industry experience Join Skillz and Let's Redefine the Boundaries of Gaming! Together, we'll create a world where skill, passion, and innovation thrive. Join our team and be part of the journey. We look forward to having you on board! Skillz embraces diversity and is proud to be an equal‑opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status, and we operate in compliance with the San Francisco Fair Chance Ordinance. #J-18808-Ljbffr

A leading AI company in San Francisco is seeking an AI Engineer to shape AI-powered IT service delivery. You will design and optimize AI models, collaborate with product teams, and enhance automation in a fast-paced environment. The ideal candidate has over 4 years of experience in AI/ML engineering and is comfortable with model deployment in production. This role offers a unique opportunity for meaningful product ownership and innovation. #J-18808-Ljbffr

A leading EdTech company is seeking a Software Engineer to enhance its platform. This full-time role is located in San Mateo, CA, where the candidate will collaborate with diverse teams to improve features and performance. Applicants should have 3+ years in software engineering, a relevant degree, and proficiency in JavaScript. The salary ranges from $116,000 to $150,000, along with equity and benefits. Join us in making a positive impact in the education sector. #J-18808-Ljbffr

About the team Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots operate in production settings, which means mechanical design has to be robust, manufacturable, and tightly integrated with electronics and control systems. Our mechanical team designs the structures, linkages, and assemblies that make the robots real. This work moves fast and lives on the shop floor as much as it does in CAD. About the role As a Mechanical Design Engineer at Droyd, you'll own mechanical subsystems from first sketch through working prototype. You'll design, build, break, and iterate on real hardware. This is a hands‑on role. You'll spend time in CAD, but also at the printer, in the shop, and on the robot. You'll work closely with electrical, software, and robotics teams to bring systems together. This role is based in Burlingame, CA. We're an in‑person company. We build faster that way. In this role, you'll Own mechanical subsystem design from concept to prototype and iteration Design parts and assemblies in CAD, supported by hand calculations and FEA when needed Design for rapid prototyping methods including 3D printing and CNC machining Make decisions on materials, tolerances, and manufacturing methods Integrate mechanical designs with motors, sensors, electronics, and actuators Build prototypes yourself using 3D printers, shop tools, and CNC equipment Work closely with manufacturing to turn designs into physical hardware quickly We're looking for someone who Has a strong portfolio showing complete systems taken from concept to physical prototype Has experience on hands‑on engineering teams such as Formula SAE, aerospace clubs, or robotics teams Has internship or early‑career experience on real hardware projects or at hardware startups Is proficient with modern CAD tools (Onshape preferred, but not required) Understands manufacturing methods, tolerancing, and assembly workflows Is comfortable with hands‑on fabrication and rapid iteration Nice to have Experience with FEA, topology optimization, or generative design Exposure to electronics, controls, or mechatronic systems Interest in industrial or visual design alongside functional engineering About Droyd Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, write the control stack, and deploy robots that operate in real environments. If we do this right, robots stop being prototypes and start being infrastructure. Join us and help build hardware that ships. #J-18808-Ljbffr

A leading investment firm in San Francisco is looking for a Forward-Deployed Engineer to serve as a dedicated technical partner for customers using the API Platform. This deeply technical role combines aspects of a solution architect, developer advocate, and technical program manager. Ideal candidates will have over 5 years of experience in technical support engineering or similar fields. Comprehensive health benefits, a 401(k) plan, and equity options are included in the compensation package. #J-18808-Ljbffr

A growing tech company in San Francisco is seeking a Founding Engineer to build an AI pipeline to make government data useful. The ideal candidate knows how to build AI agents, is skilled in React and NextJS, and has a passion for solving national security challenges. This role involves engaging customers to refine the browsing experience. Join a fast-growing team and contribute to critical defense components while working in a collaborative environment. #J-18808-Ljbffr

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Base Salary Range$100,000-$300,000 USD #J-18808-Ljbffr

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to applyp> You will: Implement end-to-end data integrations, syncing customer's data to Scale's platform and back Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer Be accountable for the customer's technical experience throughout their time with Scale Work with AEs and PMs to identify customer-specific feature requests Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations Evangelize Scale and interact with customers at major events Have an active TS/SCI clearance Ideally you'd have: Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way Prior technical hands‑on experience working with clients in a pre or post‑sales capacity to realize business goals Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields Strong project management and interpersonal skills Presentation skills with a high degree of technical credibility when speaking with executives and front‑line engineers High level of comfort communicating effectively across internal and external organizations Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: Experience in AI Experience working in classified environments Previous experience as a technical go‑to‑market resource Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment Hands‑on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is: $190,000 - $290,000 USD The base salary range for this full‑time position in the locations of Washington DC, Texas, Colorado is: $170,000 - $260,000 USD The base salary range for this full‑time position in the location of Hawaii/St. Louis is: $140,000 - $220,000 USD PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services,. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a professional to develop AI/ML solutions. You will work closely with various teams to implement and optimize applications based on large language models. The ideal candidate has a Bachelor's or Master's degree in a relevant field and a strong understanding of machine learning algorithms. Join us to contribute to innovative projects and collaborate in a dynamic environment. #J-18808-Ljbffr

A security technology company based in San Francisco seeks a Reserve Engineer to provide on-site hardware service and support. You will maintain and repair robotic technology, ensuring client satisfaction. The ideal candidate is passionate about robotics, has experience in service roles, and possesses excellent communication skills. The position is a 1099 contractor role with compensation ranging from $20-$50 USD per hour, depending on experience. This is not a remote role and involves visiting client sites. #J-18808-Ljbffr

A robotics and AI company in San Francisco is seeking a passionate Software Engineer to develop a robotic fleet simulation platform. The ideal candidate will have over 3 years of experience, expertise in Python and C++, and a strong commitment to quality. This position offers a salary range of $120,000 - $200,000 along with generous equity and benefits. Join us to contribute to the future of autonomous logistics. #J-18808-Ljbffr

A high-growth AI startup in San Francisco is seeking a Senior Software Engineer to develop generative AI tools for the legal sector. This is a full-time on-site role where you'll collaborate closely with founders and senior engineers, tackle complex algorithmic challenges, and ship impactful features. The ideal candidate should have a strong background in full-stack development, with at least 3 years of relevant experience, and a degree in Computer Science. A passion for AI systems and a problem-solving mindset are essential. #J-18808-Ljbffr

A premier IT consulting firm is seeking a Machine Learning Engineer in San Francisco, CA. The role emphasizes deploying advanced ML models with a focus on Generative AI. Key responsibilities include architecting ML solutions and engaging in data modeling. The candidate must have experience with major cloud platforms, Python, and deep learning frameworks. The position offers competitive salary, paid relocation, and career development opportunities. #J-18808-Ljbffr

A pioneering technology firm is looking for a high-performing individual to advance molecular machine learning using deep learning architectures. You will architect and integrate state-of-the-art models, optimize performance from code to hardware, and collaborate with scientists to develop innovations for drug discovery and material sciences. The role requires expertise in frameworks like PyTorch and JAX, deep understanding of GPU optimizations, and a passion for tackling challenging technical problems. #J-18808-Ljbffr

Type: Full-Time Compensation: Competitive salary + meaningful equity (founding tier) Backed by 8VC, we're building a world‑class team to tackle one of the industry's most critical infrastructure problems. About the Role We're designing the future of enterprise AI infrastructure - grounded in agents, retrieval‑augmented generation (RAG), knowledge graphs, and multi‑tenant governance. We're looking for an ML/AI Research Engineer to join our AI Lab and lead the design, training, evaluation, and optimization of agent‑native AI models. You'll work at the intersection of LLMs, vector search, graph reasoning, and reinforcement learning - building the intelligence layer that sits on top of our enterprise data fabric. This isn't a prompt engineer role. It's full‑cycle ML: from data curation and fine‑tuning to evaluation, interpretability, and deployment - with cost‑awareness, alignment, and agent coordination all in scope. Core Responsibilities Fine‑tune and evaluate open‑source LLMs (e.g. LLaMA 3, Mistral, Falcon, Mixtral) for enterprise use cases with both structured and unstructured data Build and optimize RAG pipelines using LangChain, LangGraph, LlamaIndex, or Dust - integrated with our vector DBs and internal knowledge graph Train agent architectures (ReAct, AutoGPT, BabyAGI, OpenAgents) using enterprise task data Develop embedding‑based memory and retrieval chains with token‑efficient chunking strategies Create reinforcement learning pipelines to optimize agent behaviors (e.g. RLHF, DPO, PPO) Establish scalable evaluation harnesses for LLM and agent performance, including synthetic evals, trace capture, and explainability tools Contribute to model observability, drift detection, error classification, and alignment Optimize inference latency and GPU resource utilization across cloud and on‑prem environments Desired Experience Model Training Deep experience fine‑tuning open‑source LLMs using HuggingFace Transformers, DeepSpeed, vLLM, FSDP, LoRA/QLoRA Worked with both base and instruction‑tuned models; familiar with SFT, RLHF, DPO pipelines Comfortable building and maintaining custom training datasets, filters, and eval splits Understand trade‑offs in batch size, token window, optimizer, precision (FP16, bfloat16), and quantization RAG + Knowledge Graphs Experience building enterprise‑grade RAG pipelines integrated with real‑time or contextual data Familiar with LangChain, LangGraph, LlamaIndex, and open‑source vector DBs (Weaviate, Qdrant, FAISS) Experience grounding models with structured data (SQL, graph, metadata) + unstructured sources Bonus: Worked with Neo4j, Puppygraph, RDF, OWL, or other semantic modeling systems Agent Intelligence Experience training or customizing agent frameworks with multi‑step reasoning and memory Understand common agent loop patterns (e.g. Plan→Act→Reflect), memory recall, and tools Familiar with self‑correction, multi‑agent communication, and agent ops logging Optimization Strong background in token cost optimization, chunking strategies, reranking (e.g. Cohere, Jina), compression, and retrieval latency tuning Experience running models under quantized (int4/int8) or multi‑GPU settings with inference tuning (vLLM, TGI) Preferred Tech Stack LLM Training & Inference: HuggingFace Transformers, DeepSpeed, vLLM, FlashAttention, FSDP, LoRA Agent Orchestration: LangChain, LangGraph, ReAct, OpenAgents, LlamaIndex Vector DBs: Weaviate, Qdrant, FAISS, Pinecone, Chroma Graph Knowledge Systems: Neo4j, Puppygraph, RDF, Gremlin, JSON-LD Storage & Access: Iceberg, DuckDB, Postgres, Parquet, Delta Lake Evaluation: OpenLLM Evals, Trulens, Ragas, LangSmith, Weight & Biases Compute: Ray, Kubernetes, TGI, Sagemaker, LambdaLabs, Modal Languages: Python (core), optionally Rust (for inference layers) or JS (for UX experimentation) Soft Skills & Mindset Startup DNA: resourceful, fast‑moving, and capable of working in ambiguity Deep curiosity about agent‑based architectures and real‑world enterprise complexity Comfortable owning model performance end‑to‑end: from dataset to deployment Strong instincts around explainability, safety, and continuous improvement Enjoy pair‑designing with product and UX to shape capabilities, not just APIs Why This Role Matters This role is foundational to our thesis: that agents + enterprise data + knowledge modeling can create intelligent infrastructure for real‑world, multi‑billion‑dollar workflows. Your work won't be buried in research reports - it will be productionized and activated by hundreds of users and hundreds of thousands of decisions. If this is your dream role - we would love to hear from you. #J-18808-Ljbffr

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo. We're an in-office company, driven by a shared commitment to excellence and velocity. Our values-customers are everything, relentless momentum, winner's mindset, and stronger together-shape how we work and grow as a team. About the Team The Research team at Decagon innovates on building the most advanced conversational AI agents for enterprise customers. Decagon's AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision. Our mission is to deliver magical support experiences - AI agents working alongside human agents to help users resolve their issues. About the Role On the Research team, you'll be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. You will design and implement state of the art methods for instruction tuning and information retrieval. We\'re looking for people with strong engineering skills, writing bug-free machine learning code, and building the science behind the algorithms that power our AI agents. Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen. In this role, you will Develop models for customer support tasks that exceed the performance of closed source models Experiment with small open-source models to drive order of magnitude reductions in latency across channels Break down ambiguous research ideas into clear, iterative milestones and roadmaps. Your background looks something like this 3+ years of experience in AI/ML engineering or research. Proven track record of working on AI/ML projects from concept to production. Experience fine-tuning and deploying LLMs in production environments. Prior experience working with multi-modal models Benefits Medical, dental, and vision benefits Take what you need vacation policy Daily lunches, dinners and snacks in the office to keep you at your best Compensation $250K - $415K + Offers Equity #J-18808-Ljbffr

A pioneering AI company is seeking talented individuals to lead innovative data adaptation efforts. The ideal candidate will possess deep expertise in model efficiency and algorithmic optimization, with strong programming skills in Python. Responsibilities include developing algorithmic recipes and exploring new data strategies. The position offers a flexible work environment with in-person collaboration in the Bay Area, quarterly offsites, and comprehensive benefits including a lunch stipend and travel budget. #J-18808-Ljbffr

Employment Type Full time Department AI Note - Below contains the outcomes and competencies for the team. If you bring standout strengths in some areas but not all, you are still encouraged to apply. Mission Design, train, ship, iterate on, and innovate on the AI brains behind Pathos' AI Therapist. Combine research, data science, and engineering to create models, orchestration, and evaluation systems that make therapy conversations deeply effective, clinically grounded, and safe. Outcomes Improve quality of AI Therapy: Deliver measurable improvements in conversation quality, therapeutic alliance, and user outcomes through fine-tuning strategies, training data curation, building RL environments, new model architectures and other AI innovations. Improve evaluation of AI quality: Improve on and maintain a robust eval stack that includes scripted tests, LLM-as-judge evaluations, human ratings, and safety checks. Improve automated regression testing, detection of defects, and observability (eg dashboards). Own AI system. Build, maintain, and iterate on the production codebase that delivers AI therapy and supports the evaluation and iteration of our AI. Productionize Models and Pipelines. Own the path from notebook to production: training jobs, model packaging, deployment, monitoring, and rollback strategies. Keep latency, reliability, and cost within agreed budgets while enabling rapid iteration on new ideas. Improve Safety, Alignment, and Clinical Guardrails Work with clinicians and internal experts to encode clinical guidelines into prompts, reward functions, tools, and filters. Proactively identify and reduce harmful or low-quality behaviors through targeted experiments, red teaming, and mitigations. Own Research Roadmap and Experiment Velocity Run high-quality experiments from hypothesis to analysis to improve our understanding of what matters and what works. Shape and execute a focused R&D roadmap. Collaboration with Clinicians, Product, and Engineering. Translate product and clinical requirements into concrete model and system changes. Partner with full-stack product engineers so that new AI capabilities are easy to integrate and maintain in the product. Competencies LLM and Applied ML Depth. Demonstrates strong experience with large language models, including fine-tuning, training data design, and model selection. Knows how to move core metrics on conversation quality and user outcomes, rather than chasing generic benchmarks. Can look at evals, transcripts, and metrics and quickly form grounded hypotheses for improvement. Ships clean, maintainable, quality code. No only do you know how transformers work, but you are also an engineer that has experience shipping production-level code and/or maintaining an AI system in production. Data Engineering Skills. Can set up production-level data pipelines for training new models, evals, analysis, etc. Scientific Mindset. You formulate hypotheses, and you are good at evaluating them (eg through experiments, data analysis, etc). You are consistently learning at the cutting edge, and you're able to leverage and communicate those learnings to make the entire company more successful. Ruthless Prioritizer. You are keenly aware of how to provide company value and to prioritize projects accordingly. Resistant to nerd-sniping. Quality Obsessive: Refuses to ship subpar work, continuously improving the codebase. Fast: Prioritizes speed by leveraging AI, breaking down complex tasks, shipping early, optimizing for learnings, iterating quickly, and avoiding over-engineering. Strong communicator. You can work collaboratively in a positive way. Sees others perspectives. Strong opinions, loosely held. Focused on user/business value, not ego. Great to have Personal or other experience with therapy or coaching Domain knowledge of psychology, neuroscience, therapy, or coaching. #J-18808-Ljbffr