Member, technical staff jobs in Bakersfield, CA - 3,430 jobs

We're looking for a Plasma Physicist who's not just into theory-but wants to design, simulate, and help build marine deployable tokamaks. You'll spend your time running transport and MHD codes, exploring divertor concepts and operational scenarios, and conducting system level tradeoff studies. DescriptionAboutMaritime Fusion Maritime Fusion is building fusion reactors for ships. We're laser focused on designing, optimizing, and manufacturing HTS tokamaks to decarbonize global shipping and deliver operational energy and HTS technology to defense customers. Since participating in the world's leading startup accelerator, Y Combinator, we've moved quickly to plot the most pragmatic path to getting the First of a Kind (FOAK) fusion reactors out in the world in an application most primed to benefit from recent advances in High Temperature Superconducting (HTS) magnet technology. Our founding team brings a unique blend of hands-on engineering experience from Tesla and SpaceX, combined with deep academic expertise in plasma physics and fusion energy technology from academia and industry. Every startup claims a “fast pace and dynamic environment” but at Maritime Fusion we truly operate in controlled chaos mode. The gravitas of the mission calls for a unique company structure, rewarding high performance and dynamically allocating resources. We're a small company (for now) with plans to grow a world class fusion workforce. This is an opportunity to join at the very early stage, the stage where all employees wear all hats. We can't guarantee success, but we can guarantee excitement, worthwhile projects, extreme ownership, and good (great?) vibes. Iron man 1 movie sound track plays on loop in the lab. What You'll Be Doing: Running simulations across the full plasma + machine stack:plasma equilibriumandmagnetic system optimization,stability & confinement, transport, edge physics, burning plasma physics, diagnostic system design, disruption mitigation. Using tools like POPCON, TokaMaker, ASTRA, TGLF, Fuse, CGYRO, BALOO, UEDGE, Bluemira, COMSOL, ANSYS, FEA, and OpenMC to analyze and optimize the full system. Developing models and workflows to connect simulations with real-world design constraints. Form relationships and foster collaboration with academic & government labs to further optimize and explore the tokamak design space. What You Bring: Ph.D/M.S. in Plasma Physics, Nuclear Engineering, Applied Physics, or similar (or equivalent experience). Experience modeling tokamaks or similar fusion devices- from grad school, postdoc, or industry. Strong coding and engineering fundamentals. Willingness to do the dirty work involved with early stage startups; assemble the office furniture, setup software licenses, form strong external industry relationships. Compensation: $120k-200k salary + 0.1%-1% equity + bonuses #J-18808-Ljbffr

Twenty Labs is an applied research lab working on augmenting knowledge workers, starting with finance. The penetration of AI in finance is still limited and we want to be the company that delivers AGI to finance through our product, Compound (@getcompoundai ). Some product videos can be found on YouTube . You'll be joining a highly technical founding team, including leading researchers and engineers from Google DeepMind/Brain and Microsoft who pioneered research in language models, shipped GenAI products to billions in production, paired with domain expertise from top finance and consulting firms (Coatue, Bain, Y Combinator). Comprehensive Medical/Dental/Vision insurance for you and dependents, including $0 premium plan with company HSA contribution 401(k) plan with 4% match Catered daily team lunch Urban downtown San Mateo office, 5-minute walk from Caltrain and free parking Time off as you need it Top-quality computers and ergonomic workspace Corporate AI subscriptions as much as you need for work Our culture and how we operate We seek out the 10% of people who account for 90% of productivity and strive to be a small and talent-dense team. No formal performance reviews. If you're here, you're a high-performer. Our organization is flat with no middle managers and you will work directly with the founders who all code. No empire building - we operate as one team. If you see something you can fix efficiently end-to-end, just do it. We love being in-person at our San Mateo office 5-days a week for maximum bandwidth communication and enjoying delicious local food together. We write blameless post-mortems (incident reports) for any service outages to document and constantly improve reliability. We “Feel the AGI” and want to bring it to others to massively improve productivity. Work Authorization We prefer candidates who can start immediately, but can provide immigration assistance for exceptional cases. Member of Technical Staff - Founding Design Engineer Compensation: Base salary of $150,000 - $300,000. Top-of-market equity Location: San Mateo, CA Your role We're seeking an exceptional design engineer who combines world-class design taste with the ability to build. You will craft elegant, intuitive product experiences and also implement them yourself in modern TypeScript/React front-ends. You'll work closely with the founders to translate cutting-edge AI advances into beautiful, high-usage products for discerning finance users. You, the ideal candidate: Have shipped beautiful, polished user interfaces in products used by millions of users Own the craft end-to-end: research, prototypes, high-fidelity design, and production code Are fluent in TypeScript, React, and modern front-end tooling (e.g., Tailwind, Next.js) Design and implement responsive, accessible web UIs that work beautifully on mobile and desktop Move quickly with users while maintaining a very high bar for interaction quality, performance, and accessibility Use AI to augment your work, and hold AI to a high standard of quality #J-18808-Ljbffr

Work With Us At Liquid, we're not just building AI models-we're redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can't: on-device, at the edge, under real-time constraints. We're not iterating on old ideas-we're architecting what comes next. We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments-your work will directly shape the frontier of intelligent systems. While San Francisco and Boston are preferred, we are open to other locations. This Role Is For You If: You have experience writing high-performance, custom GPU kernels for training or inference You have an understanding of low-level profiling tools and how to tune kernels with such tools You have experience integrating GPU kernels into frameworks like PyTorch, bridging the gap between high-level models and low-level hardware performance You have a solid understanding of memory hierarchy and have optimized for compute and memory-bound workloads You have implemented fine-grain optimizations for a target hardware, e.g. targeting tensor cores Desired Experience: CUDA CUTLASS C/C++ PyTorch/Triton What You'll Actually Do: Write high-performance GPU kernels for inference workloads Optimize alternative architectures used at Liquid across all model parameter sizes Implement the latest techniques and ideas from research into low-level GPU kernels Continuously monitor, profile, and improve the performance of our inference pipelines What You'll Gain: Hands-on experience with state-of-the-art technology at a leading AI company Deeper expertise in machine learning systems and performance optimization Opportunity to bridge the gap between theoretical improvements in research and effective gains in practice A collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMs About Liquid AI Spun out of MIT CSAIL, we're a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale-from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We're already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we're just getting started. #J-18808-Ljbffr

About Inkeep At Inkeep, we power the only AI Agent platform designed for engineers and non-engineers. Our customers include leading AI companies like Anthropic and Midjourney, plus high-growth tech companies like PostHog and Postman. Our customers trust Inkeep to help them provide world-class support for their users and be a force multiplier for their internal teams. We're backed by Khosla Ventures and Y Combinator, growing quickly, and looking for exceptional people who want to work at the forefront of AI. About the role As a Design Engineer, you'll own user experiences end-to-end, from product decisions to front-end engineering. You'll work directly with customers, influence product direction, and build the interfaces that define how millions of users interact with AI. This isn't a typical design or engineering role. You'll: Ship full features independently: engineer, build, and iterate based on real user feedback Work directly with customers: understand their needs deeply and validate solutions with them Shape product direction: your design and technical insights will directly influence how the product is built and what we roadmap items we prioritize Build in public: see your work used by users at some of the world's leading AI companies within days What we're looking for Strong design sensibility: you have excellent product intuition and can use tools like Figma or vibe-coding platforms to communicate and validate ideas Solid engineering chops: 3+ years building user-facing products with TypeScript (React/Next.js or similar frameworks) Customer empathy: you care deeply about understanding user needs and building delightful experiences High ownership: you want to own problems end-to-end, not just work on tickets Bonus points for Open source contributions or public projects that show your craft Experience building AI products or developer tools Strong opinions on what makes great product #J-18808-Ljbffr

San Francisco | Hybrid, 3 days/week | $200K - $280K + equity I'm partnering with a rapidly scaling healthtech startup that has just raised a $40M Series A to expand its engineering team. Their AI-powered platform is already helping clinicians by automating huge amounts of back-office work, and now they're looking for a senior engineer to help take their copilots from demo to full production. What you'll do: Build and scale machine learning systems that power real healthcare products Work across the full ML lifecycle: from data pipelines, to model training, to deployment Adapt and fine-tune large foundation models to real-world use cases Help improve speed, cost, and performance of AI features in production Provide technical leadership and mentor a junior ML engineer What we're looking for 5+ years of experience building ML systems that are used in production Strong Python skills (PyTorch or JAX experience is a plus) Background taking research ideas into production-ready services Good understanding of how to evaluate models and measure impact Experience with modern LLM/AI techniques (LoRA, RAG, structured prompts, model optimisation) If this sounds like a good fit and you'd like to know more, please apply and we'll be in touch.

Software Autonomy Sensing San Francisco, California 3D Technical Director Who we are Aurora's mission is to deliver the benefits of self‑driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visitaurora.tech or follow us on LinkedIn . Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We're searching for a 3D Technical Director . In this role, you will Develop procedural assets for the creation of highly realistic virtual environments. Design and implement world‑building tools to enhance scenario creation workflows. Generate intricate scenarios and simulations to assess the Aurora Driver's perception system across various sensors, including camera, lidar, and radar, as well as other integral components. Required Qualifications Proficiency in Houdini and the application of procedural and automated asset creation methodologies. Expertise in Python, VEX, and scripting. Demonstrated experience in defining and implementing scalable workflows and pipelines. Passionate about solving complex and impactful challenges. Specializations (1 or more) Procedural scene and geometry generation. Modeling of vehicles, sets, or human figures. Procedural surfacing, shading, and texturing techniques. Dynamic simulations such as rigid body, human motion synthesis, fluid or gas dynamics. Desirable Qualifications Familiarity with Universal Scene Description (USD). The base salary range for this position is $150,000-$240,000 per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job‑related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #Mid‑Senior Commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech . For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora's California Employment Privacy Policy. #J-18808-Ljbffr

A leading organization in healthcare innovation is seeking a Technology Director to oversee technology strategies and support operations across multiple departments. The role focuses on managing vendor relationships, ensuring compliance with regulations, and driving technological advancements for better service delivery. Ideal candidates will have significant experience in technology management, strong leadership skills, and the ability to effectively communicate complex information. The position offers a salary range of $190,000 - $210,000 annually. #J-18808-Ljbffr

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world-all in a flexible, award-winning workplace. Position Overview Leading strategic partnership initiatives to expand and strengthen our enterprise software ecosystem through meaningful collaborations with technology partners, startups, and industry leaders. This role combines strategic thinking with hands-on execution to drive mutual growth opportunities and create compelling solutions for enterprise customers. Key Responsibilities The Director of Ecosystem Partnerships will own the vision and execution of our ecosystem strategy, aligned with corporate goals, to expand our market, drive growth and accelerate product adoption and innovation. The responsibility includes developing ecosystem strategy & plan, identifying, developing, and managing strategic technology partnerships that enhance our platform's value proposition across AI, Cloud, DevOps, ITOps, SecOps and BizOps. They will serve as the primary liaison between partners and internal stakeholders, driving joint go-to-market initiatives, solutions and technical integrations. Core responsibilities include: developing and executing the ecosystem strategy, building and maintaining relationships with key ecosystem players, identifying market opportunities, and driving joint use-case, customer value / stories, increasing awareness through joint partner initiatives and enabling partner-influenced growth. The role requires close collaboration with product management, engineering, marketing, and sales teams to ensure alignment and successful execution of partnership initiatives. Regular travel may be required to attend industry events, meet with partners, and participate in strategic planning sessions. Required Qualifications 10+ years of experience in leading enterprise software partnerships, ecosystem management, product development, product marketing, and/or business development within the enterprise software industry Proven track record leading successful ecosystem or partner programs in DevOps, ITOps, developer tools, enterprise software or IT operational environments Deep understanding of enterprise infrastructure, operations, software development, and application software landscapes with the ability to clearly articulate technical concepts to various audiences Strong technical acumen and business insight to identify and capitalize on market opportunities and position Demonstrated experience in building and scaling strategic partnerships, and managing multiple stakeholders across customers, partners, and internal teams Strong established network within the enterprise software ecosystem, including executive and strategic relationships with multiple enterprise software vendors, startups & developer ecosystem Successfully drives complex cross-functional initiatives with planning, execution and accountability Essential Skills and Characteristics The successful candidate will demonstrate a combination of strategic thinking and tactical execution capabilities, with an entrepreneurial mindset and the ability to operate in a fast-paced environment. They should be a self-starter with excellent communication skills, able to influence without direct authority, and capable of building consensus across diverse stakeholder groups. The role requires someone who is results-oriented, data-driven, and able to balance multiple priorities while maintaining attention to detail. They should be comfortable with ambiguity, able to create a structured path and thesis with a bias to action. Impact and Success Metrics Success in this role will be measured by the growth and effectiveness of partnership programs, including partner-influenced revenue, number of active integrations, partner launches, joint marketing, and strategic value created through ecosystem initiatives. The director will be expected to develop and track relevant KPIs to demonstrate program success and partner engagement. The base salary range for this position is 147,000 - 246,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits. Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience. Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in certain restricted regions. Location restrictions apply per role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site. Your package may include: Comprehensive benefits package from day one Company equity ESPP (Employee Stock Purchase Program) Retirement or pension plan Generous paid vacation time Paid holidays and sick leave Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws) Paid volunteer time off: 20 hours per year Mental wellness programs *Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. PagerDuty is Great Place to Work-certified and has received multiple recognitions for workplace excellence. Follow us on our careers site and @pagerduty on Instagram. Equal Opportunity and Accessibility PagerDuty is committed to creating a diverse environment and is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy. PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you require accommodation, please email accommodation@pagerduty.com. PagerDuty uses the E-Verify employment verification program. Apply for this job #J-18808-Ljbffr

Meet the Team In this role, you'll play a crucial leadership role in architecting, building, and improving systems that defend against cyber threats like phishing, malware, and malicious content delivered via URLs, emails, files, and QR codes. You will drive the development of advanced automated threat analysis tools and lead initiatives to enhance our customers' security. If you're passionate about cybersecurity and ready to make a real‑world impact with your expertise, we encourage you to apply. Your work will significantly strengthen cyber defenses and protect organizations from evolving threats, while mentoring and guiding the next generation of engineers. The Splunk Attack Analyzer (SAA) team streamlines security threat analysis, providing forensic evidence and metadata to customers via API and Portal. As a Senior Staff Software Engineer, you'll lead the optimization of backend code and detection capabilities, focusing on automated URL, file analysis, and web navigation. You'll spearhead innovative solutions to overcome challenges posed by threat actors, collaborating across teams to deliver impactful results and sharing your expertise to elevate team performance. Your Impact Architect, design, and implement detection-as-code and security automation features to identify threats and protect systems and data at scale. Lead technical investigations, analyze, triage, and respond to complex customer and detection analyst reported code-related false positives and false negatives. Drive enhancements and maintenance of detection capabilities in existing security platforms; contribute to the continuous improvement of detection coverage, fidelity, and performance. Champion secure coding best practices and ensure delivery of high-quality, maintainable, and well‑tested detection code. Lead design and code reviews, contribute to technical documentation, and proactively share knowledge across the team and broader organization. Debug and resolve advanced detection issues, including tuning alerts and investigating false positives/negatives. Actively participate in Agile workflows, help with sprint planning, and collaborate closely with cross‑functional partners. Shape CI/CD, testing, and automation strategies for detection pipelines in cloud environments. Develop deep product and threat landscape knowledge to deliver user‑focused, effective security detections. Mentor and coach junior engineers, fostering a culture of technical excellence and growth. Key Proficiencies Drives feature and platform design and development with advanced programming skills. Sets and upholds best practices; leads code reviews and technical discussions. Authors well‑tested code with comprehensive test coverage. Troubleshoots and resolves complex customer issues. Provides technical leadership and supports system operations at the organization level. Leads sprint estimation, planning, and technical strategy. Possesses deep understanding of the product and demonstrates expert‑level knowledge of feature areas. Minimum Qualifications 12+ years of professional experience with Bachelor's Degree; or 8+ years experience with Master's degree in Computer Science, Engineering, Cybersecurity, or related field; or 5+ years of experience with PhD and equivalent practical experience. Experience in software engineering or security engineering, with deep, hands‑on expertise in security detection, monitoring, or incident response. Advanced proficiency in Python or Go, with a proven track record developing robust detection logic or security tooling. In‑depth understanding of file formats commonly abused by attackers; experience writing decoders and reverse engineering abused file formats. Strong understanding of browser internals, including HTML and JavaScript execution, DOM manipulation, and security implications of active content in web browsers. Expertise in security operations concepts, including attack techniques (MITRE ATT&CK), log analysis, threat hunting, and secure coding practices. Strong grasp of software design principles for building scalable and maintainable detection systems. Advanced experience with cloud platforms (e.g., AWS, GCP, or Azure). Proficiency with development tools such as Git, CI/CD pipelines, Docker, and Kubernetes. Excellent debugging and problem‑solving skills, especially relating to detection and alerting logic in complex systems. Preferred Qualifications Exceptional communication skills and ability to collaborate and influence across cross‑functional teams. Demonstrated ability to mentor, coach, and inspire technical teams. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $210,600.00 to $305,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees 1 paid day off for employee's birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non‑exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full‑time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance‑based incentive pay on top of their base salary, which is split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $210,600.00 - $350,800.00 Non‑Metro New York state & Washington state: $189,300.00 - $312,200.00 For quota‑based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time off program to meet local requirements. Cisco is an affirmative action and equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. #J-18808-Ljbffr

A leading financial institution is seeking a Relationship Executive to focus on Applied Technology banking. This position requires building and maintaining relationships with innovative companies in the technology sector. The ideal candidate will have over 8 years of experience in commercial banking, excellent sales management skills, and strong interpersonal abilities. This role also demands a proactive attitude and a passion for entrepreneurship and innovation within the tech industry. Competitive benefits and incentives are included. #J-18808-Ljbffr

This posting is an opportunity to submit your resume for future consideration; this is not a role that is open at this time. We anticipate this role may be open in the future, but we are not actively hiring for the position. If you would like to be considered for this potential role, please submit your resume. If the role becomes available, you may receive an email or call from a recruiter. We are looking for an FX Technical Director who reflects the innovative spirit, creative talent, production excellence, collaborative mindset and passion for great filmmaking that define ILM The Effects TD generates FX animation, procedural simulation, dynamic simulation, particle and fluid systems for feature film visual effects. They are responsible for lighting, rendering and moderate-level compositing of complex shots with guidance from their supervisors. What You'll Do Designs and creates FX animation, procedural simulation, dynamic simulation, particle and fluid systems Responsible for setting-up and wrangle heavy particle effects and enormous crowd shots Excellent pipeline scripting ability Solid compositing ability, can wrangle blue-screen extractions, working understanding of Nuke Can write plug‑ins, debug simulations and write set up and surface shaders with proficiency Can write/hack procedural surface shaders and volumetric shaders with proficiency Can animate moderate objects with proficiency Can pick‑up new techniques quickly and easily and can debug just about anything Sets a standard for all Technical Directors in continually raising the bar for speed, quality of work and adaptability What We're Looking For 3-5+ years production experience or feature film experience with effects simulation work Bachelor's degree in computer science, engineering or computer graphics Demo reel required Ability to work with competency, energy and enthusiasm within a team environment with gentle supervision to complete a shot. Exhibits excellent listening and communication skills, able to receive direction and criticism Excellent presentation/communication skills in dailies/shot review by clearly and briefly outlining what has been accomplished and what next should be addressed in the shot Engages in the creative process without ego, and accepts all final decisions with a positive and supportive attitude. Demonstrates an excellent aesthetic eye, anticipating potential problems and using knowledge of how to use the tools to achieve the desired look. Demonstrates superb problem-solving skills and takes the initiative to offer ideas and suggestions. Prioritizes tasks and manages time very well Preferred Skills / Competencies: Linux and scripting ability in Python Experience in MEL Technical Skills: Advanced simulation experience with either Houdini, Maya, 3DS Max or other software, and the ability to write expressions C++ skills The hiring range for this position in San Francisco, CA is $90,400 to $118,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Sobre The Walt Disney Company: Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs . We will only respond to those requests that are related to the accessibility of the online application system due to a disability. Acompanhe nossas vagas Local #J-18808-Ljbffr

An entertainment company in San Francisco is seeking experienced Look Development Technical Directors to create high-quality look dev and shading for CG assets. Ideal candidates will have over 5 years of VFX experience, strong knowledge of real-world lighting, and an ability to mentor junior artists. This role offers a competitive salary range of $101,300 to $132,900 annually, along with a comprehensive benefits package. #J-18808-Ljbffr

About GoodLeap: GoodLeap is a technology company delivering best‑in‑class financing and software products for sustainable solutions, from solar panels and batteries to energy‑efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap's proprietary, AI‑powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award‑winning nonprofit, GivePower, which is building and deploying life‑saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Summary We're looking for a passionate and experienced Staff Software Engineer to join our team that owns the core of our payments technology. In this role, you'll help design, build, and scale both our payments platform and customer‑facing payment products, ensuring they are secure, reliable, and performant. You'll collaborate closely with product managers, designers, and fellow engineers to deliver seamless payments experiences that power every transaction. What You'll Do Architect, design, and evolve scalable, high‑performance APIs in a distributed environment that power Web, Mobile, and partner integrations Lead integrations with payment processors and alternative payment rails, ensuring reliability, compliance, and future extensibility Collaborate cross‑functionally with Product, Risk, Finance, and Operations to translate business requirements into resilient technical solutions Drive the full software development lifecycle, from technical design and implementation through testing, deployment, and post‑launch support Mentor and guide engineers across the team, setting high standards for system design, security, scalability, and code quality Champion operational excellence by building and enforcing practices around observability, documentation, monitoring, and alerting Proactively identify, troubleshoot, and resolve complex technical issues to maintain high availability and seamless customer experiences What You Bring 7+ years of back‑end development experience with Node.js and TypeScript Proven expertise in architecting complex distributed systems with a focus on scalability, reliability, and security Extensive experience in designing and developing RESTful APIs, including versioning, documentation, and performance optimization Hands‑on experience with cloud infrastructure (preferably AWS), including microservices, serverless, and containerized environments Strong system design and architectural decision‑making skills, balancing trade‑offs between performance, maintainability, and business needs Demonstrated ability to mentor and lead engineering teams, fostering collaboration, knowledge‑sharing, and technical excellence Passion for writing clean, maintainable code and driving best practices in testing, CI/CD, and observability Excellent communication and cross‑functional collaboration skills, with a proven track record of influencing technical direction at scale Bonus Points Knowledge of Stripe, QuickBooks, or similar payment platforms Experience with C# Experience with Datadog or similar observability tools Experience in FinTech or other highly regulated industries Previous work with real‑time payment processing systems Why Join Us Work on impactful projects that enable sustainability and energy solutions. Competitive salary and benefits package. Opportunity for professional growth in a collaborative, inclusive, and fast‑paced environment. Work with a passionate, forward‑thinking team dedicated to making a difference. Salary: $173,000 - $200,000 a year. In addition to the above salary, this role may be eligible for a bonus and equity. Additional Information Regarding Job Duties and s: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review Employment Privacy Policy and Recruiting Policy on AI. #J-18808-Ljbffr

About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI‑enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest‑growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Staff Forward Deployed Engineer (FDE) at Invisible, you'll lead high‑impact, AI‑powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end‑to‑end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands‑on with models and close to the impact they generate. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI‑driven solutions Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade‑off discussions across performance, scalability, cost, and reliability Own projects from first discovery call through full deployment - including client‑facing delivery, internal coordination, and post‑launch iteration Build shared infrastructure, reusable components, and internal playbooks to level‑up the team Coach and mentor mid‑level engineers and help shape the culture of forward‑deployed AI engineering at Invisible What We Need 8+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands‑on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full‑stack and API‑based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client‑facing skills; you've led conversations with technical and non‑technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high‑stakes environments Be willing to be on‑call for our customers when situations arise Ability to travel roughly 25-50% of the time, sometimes short‑notice trips - primarily across North America with occasional international roll‑outs - to work directly on‑site with clients Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. * Offers will also include bonus + equity + benefits. Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job‑related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible At Invisible, we're not just redefining work - we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks - you'll build, innovate, and shape the future alongside world‑class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front‑row seat to the AI revolution, you'll fit right in. Accessibility Statement We're committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at accommodation@invisible.email. Equal Opportunity Statement We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other basis protected by law. Apply for this job To apply, please visit our careers page and submit your application through the online portal. All required application information will be captured during the process. #J-18808-Ljbffr

Thank you for your interest in Stanford University. While we have instituted a hiring pause for non‑critical staff positions, we are actively recruiting for most of the positions currently listed on our careers page. We will update the page when the broader hiring pause is lifted. Job Summary DATE POSTED Oct 03, 2025 Schedule Full-time Job Code 4510 Employee Status Regular Grade M Requisition ID 107444 Dean of Research / Office of Technology Licensing: The Office of Technology Licensing (OTL) was established in 1970 to manage the intellectual property assets of Stanford University. OTL evaluates, markets, and licenses technology owned by the University. OTL's mission is to encourage effective technology transfer for the public benefit as well as generating royalty income for Stanford to benefit research and education. OTL is one of the country's most active offices in the field of technology transfer from the university to industry. Our staff, most of whom are professionals engaged directly in licensing, manages over 3,000 active dockets. Our VPDoR Diversity Journey We create a hub of innovation through the power of diversity of disciplines and people. We provide equitable access and opportunity to all members of the community in order to do their best work, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. We listen to and value all colleagues who bring diverse perspectives to the advancement and development of a respectful community. We promote a culture of belonging, equity, and safety. We embed these values in excellence of education, research, and operation. POSITION SUMMARY The Senior Associate Director for Industry and Technology Transactions is a leadership position within Stanford's Office of Technology Licensing, responsible for driving complex agreements that advance Stanford's mission of research excellence, innovation, and strategic collaboration. The position leads a team of contracting professionals and serves as the primary point of contact for strategic negotiations with industry leaders, strategic partners, and non‑profit organizations. This role oversees the full lifecycle of complex transactions-from drafting through negotiation and execution-to ensure alignment with Stanford's policies, compliance requirements, and strategic objectives. The portfolio includes technology licensing agreements, research collaborations, strategic industry alliances, and mission‑aligned transactions with non‑profit organizations. The Senior Associate Director establishes clear risk frameworks and deal strategies that protect the University's interests while enabling sustainable, mutually beneficial partnerships. A key expectation is the ability to act as a strategic advisor who can translate complex legal concepts into practical, actionable business recommendations. The role partners closely with faculty, researchers, and internal contracting and licensing staff, as well as other Stanford offices to structure agreements that foster innovation, safeguard intellectual property and academic values, and support successful long‑term relationships with external partners. This position requires excellent judgment, strategic thinking, and the ability to balance risk with opportunity. The ideal candidate will be a collaborative problem‑solver who combines strong legal acumen with business insight to drive agreements that create value for Stanford and its partners. A JD or equivalent advanced degree is preferred, with 9+ years of experience in technology transfer, licensing, or complex commercial transactions and a track record of leading high‑value negotiations in domains such as biotech, engineering, or software. CORE DUTIES Direct staff and provide leadership to Industrial Contracts officers. Promote the goals and vision of ICO. Responsible for hiring, training and retaining staff, career coaching, professional development and accountable for the performance of direct reports. Develop strategic plans for ICO. Identify and resolve strategic issues of substantial significance that affect the overall functioning beyond ICO, consult and advise senior University leadership. Advise senior management on programmatic and policy development. Evaluate the effectiveness of ICO's organizational structure and programs to promote success, development of employees and appropriate use of staff resources. Negotiate, sign and administer major research agreements with companies, such as master sponsored research agreements, unfunded collaboration agreements, material transfer agreements, equipment loan agreements, and other related agreements. Supervise ICO staff on other agreements. Provide guidance to faculty, senior management, research staff, and other Stanford offices on Stanford policies on intellectual property, contracts, and other related issues. Oversee the resolution of issues related to intellectual property, contracts, research administration, and other related issues. Coordinate the development and maintenance of internal group documents, databases and procedures to ensure work product and workflow are efficient and up‑to‑date. Develop and deliver training on intellectual property, contracts, and other issues to co‑workers, faculty, staff, and other Stanford offices. Network with colleagues at other institutions, at companies, and licensing associations to develop relationships and gain a broader understanding of industry‑academic relationships outside of Stanford. Make presentations at industry and academic research and licensing conferences. MINIMUM REQUIREMENTS Education & Experience Bachelor's degree and nine years of relevant experience or a combination of education and relevant experience. Knowledge, Skills and Abilities Demonstrated leadership, supervisory, planning and change management skills. Excellent oral and written communication skills to collaborate effectively with a wide range of faculty and staff and to work with industry legal and business personnel. Ability to influence people, solve problems, troubleshoot, think creatively and resolve conflicts. Advanced analytical and problem solving skills. Strong knowledge of industry practices and regulatory requirements. Expertise in intellectual property, licensing, contract and regulatory issues pertaining to research agreements with industry. Ability to work efficiently within a complex university administration, often under pressure and short deadlines. Understanding of the structure, purpose, functions and objectives of research at Stanford. Exceptional analytical and organizational skills and attention to detail required. Excellent judgment and common sense required. PHYSICAL REQUIREMENTS Frequently perform desk based computer tasks, seated work and use light/ fine grasping. Occasionally stand, walk, use a telephone, lift, carry, push, and pull objects that weigh up to 10 pounds. Rarely writes by hand. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. WORK STANDARDS Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* For On‑site or Hybrid Positions The expected pay range for this position is $213,783‑$264,938 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first‑ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time‑off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world‑class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Dean of Research, Redwood City, California, United States #J-18808-Ljbffr

San Francisco | Hybrid, 3 days/week | $200K - $280K + equity I'm partnering with a rapidly scaling healthtech startup that has just raised a $40M Series A to expand its engineering team. Their AI-powered platform is already helping clinicians by automating huge amounts of back-office work, and now they're looking for a senior engineer to help take their copilots from demo to full production. What you'll do: Build and scale machine learning systems that power real healthcare products Work across the full ML lifecycle: from data pipelines, to model training, to deployment Adapt and fine-tune large foundation models to real-world use cases Help improve speed, cost, and performance of AI features in production Provide technical leadership and mentor a junior ML engineer What we're looking for 5+ years of experience building ML systems that are used in production Strong Python skills (PyTorch or JAX experience is a plus) Background taking research ideas into production-ready services Good understanding of how to evaluate models and measure impact Experience with modern LLM/AI techniques (LoRA, RAG, structured prompts, model optimisation) If this sounds like a good fit and you'd like to know more, please apply and we'll be in touch.

This posting is an opportunity to submit your resume for future consideration; this is not a role that is open at this time. We anticipate this role may be open in the future, but we are not actively hiring for the position. If you would like to be considered for this potential role, please submit your resume. If the role becomes available, you may receive an email or call from a recruiter. The Creature Technical Director rigs and envelops characters from heroes to background creatures, vehicles and props in Maya. The Creature Technical Director is able to wrangle rigging and creature pipeline issues proficiently under the direction and guidance of their supervisors; and has the ability to run flesh‑surface, hair, rigid sim, crowd, and/or cloth simulations. What You'll Do Provide rigging and enveloping in Maya for various vehicles, characters, and creatures Run cloth, hair, rigid body, crowd, or muscle simulations Troubleshoot creature pipeline issues for artists in other disciplines Script utilities/tools/plug‑ins in Maya Participate in reviews, dailies, and department meetings as required Mentor entry level artists Special projects as necessary What We're Looking For >3 years relevant professional experience and a diploma in computer graphics, fine arts, design, or photography, or related field; OR 5 years of relevant experience in lieu of education Experience as Maya rigger for assets in digital animation, visual effects, games, commercials Experience running simulation shotwork Experience in corrective sculpting Knowledge of anatomy and enveloping Positive attitude and team player Good communication skills Nice to have: Experience with Massive or Houdini crowd software C++ Basic proficiency in another discipline - modeling, texture, TD, animation Proficiency with Linux Expertise with Maya Experience with python scripting The hiring range for this position in San Francisco, CA is $90,400 to $118,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Industrial Light & Magic Founded in 1975 by George Lucas, ILM is the leading effects facility in the world, serving the motion picture, commercial production, and attraction industries. ILM has created visual effects for over 325 feature films and has played a key role in seven of the top 10 worldwide box‑office hits of all time and has contributed to 25 of the top 50. ILM has set the standard for visual effects, creating some of the most stunning images in the history of film. At the forefront of the digital revolution, the company continues to break new ground in visual effects, VR, AR, and Immersive Cinema. About The Walt Disney Company The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world‑class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Lucasfilm Ent Co Ltd, LLC Payroll Svc, which is part of a business we call Industrial Light & Magic. Lucasfilm Ent Co Ltd, LLC Payroll Svc is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a Senior Staff Software Engineer to lead a high-performing team delivering innovative AI and ML solutions at scale. This role requires collaboration with cross-functional teams, shaping the AI strategy, and driving software development best practices. The ideal candidate has extensive experience in software development, particularly with languages like Python and Java, and is well-versed in modern coding practices. The position offers a hybrid work model and competitive compensation. #J-18808-Ljbffr

San Francisco | Hybrid, 3 days/week | $200K - $280K + equity I'm partnering with a rapidly scaling healthtech startup that has just raised a $40M Series A to expand its engineering team. Their AI-powered platform is already helping clinicians by automating huge amounts of back-office work, and now they're looking for a senior engineer to help take their copilots from demo to full production. What you'll do: Build and scale machine learning systems that power real healthcare products Work across the full ML lifecycle: from data pipelines, to model training, to deployment Adapt and fine-tune large foundation models to real-world use cases Help improve speed, cost, and performance of AI features in production Provide technical leadership and mentor a junior ML engineer What we're looking for 5+ years of experience building ML systems that are used in production Strong Python skills (PyTorch or JAX experience is a plus) Background taking research ideas into production-ready services Good understanding of how to evaluate models and measure impact Experience with modern LLM/AI techniques (LoRA, RAG, structured prompts, model optimisation) If this sounds like a good fit and you'd like to know more, please apply and we'll be in touch.