Software engineering internship jobs in Daly City, CA - 6,352 jobs

We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.Responsibilities include but not limited to:- Adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging problems.- Collaborate with others to drive requirements and validation tests to ship models.- Take a practical approach to problem solving and adapt to an evolving environment.- Deliver clean, modular, testable algorithm code.- Communicate and work effectively with cross-functional partners.The ideal candidate should possess the following qualities:- Be highly-motivated and take initiative to achieve goals, while delivering on schedule.- Has a sense of curiosity and willingness to learn new things in order to improve the quality of their solutions.- Works well in a collaborative setting. Minimum Qualifications BS and a minimum of 3 years relevant industry experience Software engineering skills and proficiency in Python and PyTorch. Preferred Qualifications MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. Comprehensive understanding of diffusion models, transformers and auto-encoders. Capable of making well-informed and practical decisions in a rapidly evolving environment. Excellent communication and experience working with multi-functional teams. Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule. Good software engineering skills and proficiency in C/C++. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . #J-18808-Ljbffr

We're hiring a Lead Software Automation & Toolchain Engineer to join a frontier physical AI startup building autonomous systems that can experiment, reason, and discover in the real world. The team is a small, world-class group pushing beyond simulation and software-only AI. Their systems operate across a 20,000 sq ft physical intelligence factory and support a $42M federally funded program, enabling ML-driven agents to directly command real engineering tools and workflows. This role owns the automation substrate that connects AI agents to the physical world - unifying CAD, EDA, CAE, and scientific tools into clean, deterministic, agent-callable interfaces. You'll define how intelligent systems manipulate real engineering stacks at scale. What you'll do: Build reproducible adapters and automation pipelines that make heterogeneous engineering tools fully agent-callable Design structured APIs, parsers, classifiers, and fault-tolerant execution flows across CAD, EDA, CAE, and scientific toolchains Wrap commercial and open-source engineering tools into deterministic, scriptable workflows with robust validation and recovery Partner closely with ML researchers, agent systems engineers, and domain experts to automate end-to-end engineering workflows Make foundational architecture decisions in a fast-moving, first-principles environment What we're looking for: Senior or Lead-level experience automating engineering or scientific tools (e.g., CAD, EDA, CAE, CAM, COMSOL, simulation platforms) Strong systems-thinking ability across heterogeneous tools, file formats, and execution environments Proven ability to build reproducible, fault-tolerant automation pipelines and structured tool interfaces Comfort working at the boundary of software systems, ML-driven agents, and real-world engineering workflows Thrives in high-ownership, frontier research environments Location: San Francisco or Redwood City

A leading aquaculture technology company in San Francisco seeks a Machine Learning Engineer to develop and deploy machine learning models and algorithms for fish farming. Candidates should have a BS/MS in a relevant field, with 3+ years of experience in data science, strong coding skills in Python and SQL, and excellent data management abilities. This role offers competitive salaries, an unlimited vacation policy, and mentorship opportunities in a fast-paced environment. #J-18808-Ljbffr

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The mission of the Compute team is to provide input into our company-wide cloud infrastructure strategy and efficiency deliverables, advise on key decisions affecting budget, and provide capacity planning and performance expertise to various anthropic-wide stakeholders in finance and engineering leadership. As an early member of this team, you would be required to work with engineering teams to ensure optimal operation and growth of our infrastructure from both a cost and technology perspective and collaborate cross-functionally with finance and data science partners to analyze and forecast growth. Responsibilities: Develop self-service tools and processes to enable anthropic engineers to understand their capacity, efficiency, and costs Design, develop, and lead necessary automation to help capacity plan for both near and long term outcomes Institute and design governance workflows to help manage additional capacity request approvals Investigate new capacity requests to ensure the best use of resources and that instances are sized appropriately Build and drive cost to serve analytics programs to guide engineering, finance, and leadership on the total cost (TCO) and infrastructure impact of our scaling factors. Inform pricing conversations through customer profile sensitive gross margin analysis. Tech lead with outside vendors to manage anthropic capacity needs Proactively identify infrastructure inefficiency opportunities, document proposal and be a key contributor in driving a positive outcome Serve as an advisor to engineering and finance functions and executive team for one of the largest areas of expenditure Work closely with TPMs on special efficiency projects and help deliver committed outcomes You may be a good fit if you: 5+ years experience in capacity engineering 5+ years experience in a technical role Intermediate knowledge of various public cloud providers Experience with data modeling for public cloud Experience with budgeting, capacity planning experience, and cloud efficiency optimization workflows Experience in scripting and building automation tools Self-disciplined and thrives in fast paced environments Familiarity with cloud compute, storage, network, and services Attention to detail and a passion for correctness Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: $320,000 - $405,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn aboutour policy for using AI in our application process Apply for this job * indicates a required field First Name * Last Name * Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Website LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two. When is the earliest you would want to start working with us? Do you have any deadlines or timeline considerations we should be aware of? Are you open to relocation for this role? * Select... What is the address from which you plan on working? If you would need to relocate, please type "relocating". (Optional) Personal Preferences How do you pronounce your name? Are you open to working in-person in one of our offices 25% of the time? * Select... AI Policy for Application * Select... We believe that AI will have a transformative impact on the world, and we're seeking exceptional candidates who collaborate thoughtfully with Claude to realize this vision. At the same time, we want to understand your unique skills, expertise, and perspective through our hiring process. We invite you to review our AI partnership guidelines for candidates and confirm your understanding by selecting “Yes.” Why Anthropic? * Why do you want to work at Anthropic? (We value this response highly - great answers are often 200-400 words.) Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? * Select... Do you require visa sponsorship? * Select... Additional Information Add a cover letter or anything else you want to share. Publications (e.g. Google Scholar) URL Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in Anthropic's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. 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A leading auto insurance company is seeking a Distinguished Engineer with extensive AI/ML experience to lead technical decisions in building innovative products focusing on computer vision technologies. The ideal candidate will have over 15 years in the field and will collaborate closely across teams to drive performance and user experience improvements. This position offers flexibility, competitive compensation, and a comprehensive rewards program. #J-18808-Ljbffr

About Us: Parabola is a workflow builder that makes it easy to organize and transform messy data from anywhere-even PDFs, emails, and spreadsheets-so that forward-thinking teams can automate the work they thought would always be manual. Teams at fast-moving companies like Brooklinen, On Running, and Flexport use Parabola to save hundreds of hours and finally take on the projects that used to feel out of reach. Whether it's reconciling inventory across multiple 3PLs, auditing invoices, or manually exporting the same report every Monday, Parabola gives teams the power to automate it-all without needing engineering support. Parabola is backed by OpenView Partners, Matrix Partners, Thrive Capital and more. About the role: As a Senior Site Reliability Engineer on our rapidly growing team, you'll measure how well our software is working, and from that baseline propel us towards high impact improvements that our customers value. Given our small team, your work might span performance, developer experience, security & compliance, and foundational architecture work. You'll also be on‑call and will improve our technical operations, learning as we go. What you'll be doing: Monitoring our core business‑logic software, both via on‑call and in non‑urgent situations: describing its existing behavior and defining SLOs or SLAs that get us (you and we) to respond. Extending and monitoring our infrastructure stack. Because we are B2B, we have fewer raw users, but their usage is often business‑critical and we need the infrastructure for that. Maintaining both a mental and a reified model of our systems: from this model, estimating risk, planning projects, and debugging efficiently. Collaborating with our engineering team and company leadership from your unique lens on site reliability - being vocal and clear in your expertise in this specialization. Working on our core orchestration logic that determines how to efficiently run tens of thousands of workflows at the same time - we recently rebuilt our orchestrator on top of Temporal and we love it! Advising many parallel major backend engineering projects, both early in planning and through release. Join such projects for building from time‑to‑time. Optimizing our services for scalability, stability, and observability as our customer base grows and our product becomes more sophisticated. Improving our developer experience in tactical ways, and improving our overall engineering processes and practices more broadly, especially given the opportunities & pressures of LLM coding agents. What (we think) you'll need to do it: 5+ years of SRE, DevOps, or Platform engineering experience A proven record of building efficient, performant, and easy to extend systems. Has maintained quantitative metrics of site reliability, while also demonstrating judgment about appropriate strictness for SLOs & SLAs. Given our team size, the expectations are somewhat less formal and mature than many SRE teams have; you will both strengthen our approach, but also navigate tradeoffs. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) and how they interact with backend services, and with Linux. Experience implementing and managing AWS infrastructure. You're not afraid to ask for help, and you're happy to give it, too. You're an enthusiastic communicator and you like working with a team that provides both mutual support and thoughtful critique. You're excited to join a hybrid team and work out of our NYC or SF office ~3 days a week. Nice to haves: Experience with Temporal. Experience building AI platforms, or the tooling and systems behind AI products. Familiarity with Kubernetes/Helm (we use Amazon EKS). Experience implementing and deploying infrastructure‑as‑a‑service (IaaS) tools to manage production cloud environments. Experience managing CI/CD pipeline for multiple environments, and developer experience more broadly. Experience building cloud storage or data modeling products. Experience working at early stage startups. Salary Range: $180,000 - $200,000 This salary range represents the minimum and maximum for this role based in San Francisco and New York. The salary given for this position is dependent on multiple factors, including years of experience, interview performance and anticipated responsibilities of the role. Our base salary is one component of Parabola's competitive total package, which also includes equity and premium health and wellness benefits. #J-18808-Ljbffr

Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can't see risks, obligations, or act in time. Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you're buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That's why the world's most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We're consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company's Most Innovative Workplaces. Ironclad has also been named to Forbes' AI 50 and Business Insider's list of Companies to Bet Your Career On. This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Software Engineer, Platform Infrastructure sits under the umbrella of Product and Engineering and plays a pivotal role in ensuring our developers have the tools, infrastructure, and systems to provide our customers with reliable, secure, and scalable software. Roles & Responsibilities: Be part of the Cloud Platform SRE Team, focused on building our Cloud Platform using modern tools and best practices. Champion SRE best practices within the team and throughout the organization Solve the whole problem. Architecture for resiliency, identify risks, and make it happen. Ability to use a wide variety of open source technologies and tools Understanding of Continuous Integration & Continuous Delivery in the software engineering process and can clearly articulate how a Software Engineer, Platform Infrastructure facilitates these practices in collaboration with the Development, Quality Assurance and Technical Operations teams to drive business goals Ability to demonstrate a clear, energetic and excited interest in automating everything (build, test, release/deploy, monitoring, reporting), which includes Infrastructure as Code Preference for collaboration, open communication and reaching across functional borders Thorough understanding of backup/recovery systems, development automation routines, storage area networks and virtualization Be on an on-call rotation to respond to incidents that impact Ironclad's availability, and provide support with internal or customer-facing incidents Develop an understanding of the near, mid, and long-term needs of the business - and understand how the Platform SRE contributes to its success Influence architectural decisions with a focus on security, scalability, and high performance Be a mentor, multiply our team's output with leadership and guidance Key Skills: 8+ years of professional DevOps / SRE experience. 5+ years of coding (Python, Golang, TypeScript Shell Scripting, Rust, etc), scaling, and architecture work. Experience with Typescript is a plus. Expert knowledge of Docker and Kubernetes Experience with Google Cloud Platform (or similar provider) Experience with Build and Deployment tools such as Terraform, CircleCI, ArgoCD Experience with multi-region support is a plus Experience with ELK Stack, MongoDB, Postgres Strong technical aptitude and exceptional communication skills (written and verbal) Ability to appropriately prioritize and respond to different escalations Troubleshooting and analytical skills, drive to help customers, and the ability to dive deep and learn a new product. Experience and desire to work cross-functionally Team and goal-oriented. High output; low ego Benefits: Health, dental, and vision insurance 401k Wellness reimbursement Take what you need vacation policy Generous parental leave for both primary and secondary caregivers Base Salary Range: $180,000 - $200,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad's competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

Asana's rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we're making a major investment in reliability - and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one. This isn't a traditional “ops” role - we're looking for strong software engineers who are passionate about building reliable, distributed systems. You'll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you'll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company. This role is based in our Warsaw office with an office‑centric hybrid schedule - in‑office days are Monday, Tuesday, and Thursday. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll do: Influence the future of Asana's SRE practice, especially as we grow the Warsaw team. Lead reliability‑focused projects across our stack - from infrastructure to tooling to incident response. Define and implement Asana's incident management process - we're investing here, and you'll help shape how it works. Build internal platforms and frameworks that help other teams improve the reliability of their services. Be part of (and help shape) a sustainable on‑call rotation - shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it's not constant, and we care about keeping things sane. Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis, DynamoDB, Terraform, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo - but we want this post to actually show up in your searches.) About you: You're a strong and experienced software engineer who's comfortable writing and reading code - this isn't an ops role. You care about reliability, scalability, and long‑term maintainability, not just quick fixes. You might have worked as an SRE before - or maybe you were a product engineer who kept getting pulled into infra work because you cared about how systems actually run. You've seen systems at scale (or want to), and you're excited about solving infrastructure problems that have broad impact. You're curious, take initiative, and aren't afraid to work in ambiguous spaces - especially important on a brand new team. You collaborate well across teams and want to help others build more reliable systems. You don't need to know our exact stack, but you're eager to learn whatever it takes to make things better. You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. Why this role? Founding team: You'll be one of the first SREs in Warsaw - and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long‑term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence - whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment (with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family‑forming support with Carrot. Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 23 000 and 33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG) 📋 GenAI Healthcare 📍 Hybird in SF 💸 Competitive base + hefty bonus We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform empowers physicians with AI-driven copilots, enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals across 300,000 facilities. The company brings together top healthcare and technology experts, operators, and leading clinical advisors to drive innovation in precision medicine. We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on Retrieval-Augmented Generation (RAG), knowledge systems, and AI-native backend architectures. This role is ideal for a senior technical leader who has designed and productionized LLM systems, worked with clinical, healthcare, or healthtech data, and can operate at both architectural and implementation depth. You will play a critical role in shaping the AI platform that powers clinician-facing copilots and decision-support tools, while ensuring correctness, safety, scalability, and regulatory compliance. Responsibilities: LLM & RAG System Architecture Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows. Architect knowledge retrieval systems that combine structured and unstructured clinical data (guidelines, policies, patient context, claims, formularies, etc.). Healthcare & Clinical AI Applications Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements. Partner closely with clinical, product, and data science teams to translate real-world clinical workflows into reliable AI-driven experiences. AI Platform & Backend Engineering Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management. Implement fault-tolerant, secure, and high-availability systems capable of operating at healthcare scale. Evaluation, Safety & Quality Lead the design of LLM evaluation frameworks (hallucination detection, grounding, faithfulness, latency, cost, and clinical relevance). Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals. Technical Leadership & Mentorship Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy. Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality. Cross-Functional Collaboration Work closely with data engineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of professional software engineering experience, with 3+ years working directly with LLM-based systems in production environments. Hands-on experience designing and deploying RAG architectures, including embeddings, vector databases, retrieval strategies, and prompt orchestration. Strong proficiency in Python and experience with modern backend stacks (REST/gRPC APIs, async systems, microservices). Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data. Proven ability to design systems that are scalable, secure, observable, and maintainable. Preferred Qualifications: Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets. Familiarity with LLM evaluation tooling and frameworks (e.g., RAGAS, custom eval pipelines, automated and human feedback loops). Experience with cloud-native architectures (preferably Azure) and containerized deployments. Knowledge of data privacy, governance, and security best practices in healthcare environments. Experience influencing technical direction at Staff or Principal scope across multiple teams or systems. Benefits: Competitive salary and performance-based bonuses. Opportunities for professional growth and leadership in a rapidly scaling AI-native healthcare company. Collaborative, mission-driven work environment with top-tier clinical and technical talent. Opportunity to build cutting-edge AI systems with real-world clinical impact. 📧 Interested in applying? Please click on the ‘Easy Apply' button

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

Now Hiring: Systems Software Engineer II 📍 Pleasanton, CA | 💰 $108,000 - $135,000 per year 🏢 About the Role We're looking for an experienced Systems Software Engineer II to join Sunbelt Controls, a leading provider of Building Automation System (BAS) solutions across the Western U.S. In this role, you'll develop and program databases, create custom graphics, and integrate control systems for smart buildings. You'll also support project startups, commissioning, and troubleshooting - working closely with project managers and engineers to deliver high-quality, energy-efficient building automation solutions. If you have a passion for technology, problem-solving, and helping create intelligent building systems, this opportunity is for you. ⚙️ What You'll Do Design and program BAS control system databases and graphics for assigned projects. Lead the startup, commissioning, and troubleshooting of control systems. Work with networked systems and diagnose LAN/WAN connectivity issues. Perform pre-functional and functional system testing, including LEED and Title 24 requirements. Manage project documentation, including as-builts and commissioning records. Coordinate with project teams, subcontractors, and clients for smooth execution. Mentor and support junior Systems Software Engineers. 🧠 What We're Looking For 2-5 years of experience in Building Automation Systems or a related field. Associate's degree in a technical field (Bachelor's in Mechanical or Electrical Engineering preferred). Proficiency in MS Office, Windows, and basic TCP/IP networking. Strong organizational skills and the ability to manage multiple priorities. Excellent communication and customer-service skills. Valid California driver's license. 💎 Why You'll Love Working With Us At Sunbelt Controls, we don't just build smart buildings - we build smart careers. As a 100% employee-owned company (ESOP), we offer a supportive, growth-oriented environment where innovation and teamwork thrive. What we offer: Competitive salary: $108K - $135K, based on experience Employee-owned company culture with a family-oriented feel Comprehensive health, dental, and vision coverage Paid time off, holidays, and 401(k)/retirement plan Professional growth, mentorship, and ongoing learning opportunities Veteran-friendly employer & Equal Opportunity workplace 🌍 About Sunbelt Controls Sunbelt Controls is a premier BAS solutions provider serving clients across multiple industries, including data centers, healthcare, education, biotech, and commercial real estate. We specialize in smart building technology, system retrofits, analytics, and energy efficiency - helping clients reduce operational costs and achieve sustainable performance. 👉 Apply today to join a team that's shaping the future of intelligent buildings. #Sunbelt #BuildingAutomation #SystemsEngineer #HVACControls #BASCareers

We're partnering with a fast-growing healthcare AI company building production-grade software that connects advanced machine-learning models directly into real clinical workflows. This role sits at the intersection of full-stack engineering, cloud infrastructure, and data-intensive systems supporting clinician-facing applications. You'll work on systems that handle voice-driven clinical documentation, structured report generation, and backend services that operate at scale in a regulated environment. What You'll Work On: Build and operate full-stack services supporting clinician workflows and AI-powered applications Develop systems that transform voice dictation and model outputs into structured clinical reports Create workflows for drafting, editing, and final clinician sign-off Design and maintain low-latency, scalable backend services in the cloud Work with large volumes of structured and unstructured data, including metadata and model outputs Partner closely with machine-learning and infrastructure teams to bring inference into production Own services end-to-end: design, implementation, deployment, and ongoing reliability What We're Looking For: Demonstrated ability to build and ship full-stack systems in production environments Experience designing, deploying, and operating cloud-based services (AWS preferred) Comfort owning API-driven, data-intensive systems Experience working with distributed systems and production reliability concerns Familiarity with a modern backend stack, such as: AWS (e.g., EC2, S3, ECS/EKS, IAM, monitoring/logging tools) Python-based backend services (e.g., FastAPI or similar frameworks) Relational databases (e.g., PostgreSQL or equivalent) Strong ownership mindset and sound engineering judgment This team is not credential-driven - they value clear evidence of impact, technical depth, and the ability to own complex systems. Nice to Have: Experience with report generation, document workflows, or structured text pipelines Exposure to ML inference pipelines or AI-powered production systems Background working in healthcare or other regulated environments

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Our dedicated team members are building the future of Cisco's AI-driven platforms and data infrastructure, supporting innovation across the globe. You will join a collaborative environment focused on developing advanced data pipelines, secure cloud infrastructure, and automation solutions within business groups such as Security and Infra & Security (Compute, Cloud, Security teams). As part of this innovative team, you will contribute to the growth of cutting-edge technologies in data, intelligent systems, and cybersecurity automation. Explore opportunities at the intersection of security engineering, automation, and AI-helping to transform how Cisco and its customers harness secure, intelligent automation. Your Impact As a passionate software engineer, you will play a critical role in developing scalable, secure data pipelines, designing robust analytics platforms, and building automation infrastructure to support Cisco's security and cloud initiatives. Your expertise in programming, data systems, and cybersecurity allows you to solve complex challenges with innovation and precision. By building and maintaining essential security tools and automation platforms, you enable Cisco's business groups to leverage AI-driven, secure, and automated insights for operational excellence and strategic growth. Your contributions ensure reliable, high-quality, and secure infrastructure that supports Cisco's leadership in intelligent, security-first technology solutions. Minimum Qualifications Currently enrolled in a certification program (e.g., Boot Camp, Apprenticeship, Community College or 4-Year University with 2 years of relevant experience) or currently enrolled in a graduate degree program with 0 years of relevant experience. Experience writing, debugging, and maintaining code in Python or other scripting languages (such as Bash), with a focus on automating tasks, workflows, or processes. Understanding of security protocols and principles (e.g., TLS/SSL, SSH, OAuth, SAML, IPsec) and familiarity with common cybersecurity tools. Exposure to DevOps and DevSecOps practices, including integrating security measures into CI/CD pipelines (e.g., Jenkins, GitHub Actions) and cloud environments. Familiarity with cloud security concepts and experience using automation tools within software development and deployment workflows. Preferred Qualifications Understanding of artificial intelligence and machine learning concepts, algorithms, and basic implementation techniques. Familiarity with securing cloud environments, including knowledge of cloud security best practices and commonly used security tools. Experience or coursework related to securing containerized applications (e.g., Docker, Kubernetes), including vulnerability assessment and mitigation strategies. Hands-on experience writing and executing automated tests for Python applications using the pytest framework. 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: 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: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * 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.

Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About the System Validation Team Zipline's Software Systems Validation team ensures that all the software powering our autonomous delivery aircraft works reliably, safely, and as intended in the real world. We operate at the system level-evaluating how components like navigation, perception, controls, planning, and actuation work together as a cohesive product. The team partners closely with Embedded Software, Autonomy, Systems Engineering, Test Infrastructure, and Data Platform groups to build validation tools, analyze performance, and identify risks early. Our work spans simulation, hardware testing, data-driven analysis, and system-level evaluations that support deployments across the globe. As an intern, you'll collaborate with engineers across these domains, gaining hands-on exposure to how industry-leading autonomous systems are designed, tested, and validated at scale. The Role As a Software Systems Validation Intern, you will help evaluate the software that enables Zipline's autonomous drone delivery system. You'll contribute to building tests, tools, metrics, and visualizations that help the team understand system performance, identify issues, and ensure reliability before flight. This role is designed for someone excited to learn how complex robotic systems are validated, who enjoys problem-solving, and who wants to build real-world experience working with autonomy software, data analysis, and systems engineering. What You'll Do Support the design and execution of test scenarios across the autonomous software stack to validate system-level requirements Help develop and improve validation tools, workflows, and automation Build basic visualizations or metrics that highlight performance trends, gaps, or regressions Work with test infrastructure and data platform teams to run validation pipelines Analyze results and contribute to identifying root causes of failures or unexpected behavior Document findings and communicate insights to engineering stakeholders What You'll Bring Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Aerospace Engineering, Robotics, or a related field Coursework or project experience in robotics, controls, estimation, navigation, perception, or software development Familiarity with testing, debugging, or validation methodologies (academic or project-based experience counts!) Experience with data analysis using Python, SQL, or similar Basic proficiency with a compiled language such as C/C++ or Rust Curiosity, attention to detail, and a desire to learn how autonomous systems are validated in real-world environments Bonus Skills (Nice to Have) Exposure to hardware, actuators, sensors, and interfacing with software Experience with robotics competitions, club projects, or research labs Interest in requirements development, reliability engineering, or statistical validation What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Summer 2026 interns from May or June to August. Candidates are limited to three (3) applications within a 30-day period. The starting cash range for this internship is $40 - 44/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

A leading tech company is seeking a Software Development Engineer for AI Business Automation within Prime Video. The role involves designing and deploying high-quality services and collaborating with various teams to enhance customer experiences. Candidates should have extensive software development experience and preferably a computer science degree. This position offers a unique opportunity to contribute to innovative AI solutions that redefine operations for a global audience. #J-18808-Ljbffr

A leading technology company in Sunnyvale is seeking a CVML Engineer to drive innovation in 3D and 4D computer vision and health applications. The role requires a Bachelor's degree and experience in computer vision algorithms. Candidates should be proficient in Python and PyTorch, with a strong foundation in linear algebra and optimization principles. Competitive compensation and comprehensive benefits included. #J-18808-Ljbffr

GEICO . For more information, please .**Overview**: GEICO is on a multi-year journey to transform the insurance industry with Artificial Intelligence. **The Team****:** The AI Modeling and Research team is part of the AI Org, which is Geico's strategic investment with the mission to transform Geico into an AI-first company. AI org is led by Vice President, Head of AI. AI Org is in the Technology, Product and AI (TPA) org at Geico. TPA is led by the Chief Technology, Product and AI Officer, who reports to the CEO of Geico. **The Role Purpose**: We are looking for a highly experienced Distinguished Engineer who has deep insights into ML modeling for computer vision and can lead major technical decisions on how the company can build cutting-edge products powered by industry leading computer vision technologies. The candidate should build close partnerships with product, engineering and operation leadership across the company. This role will report directly to the Senior Director of AI Modeling and Research. **Responsibilities:** To be successful in this role, you will need: Continuously improving system performance, scalability, and user experience.**Qualifications****:** 15+ years of hands-on experience in AI/ML in a production environment.Successful leadership experience in leading the technical decisons for teams of size >= 15.Strong communication and collaboration skills across technical and non-technical teams.* Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.* Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.* Access to additional benefits like mental healthcare as well as fertility and adoption assistance.* Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.At GEICO,we offer a rewarding career where your ambitions are met with endless possibilities.Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. #J-18808-Ljbffr

We're hiring a Lead Software Automation & Toolchain Engineer to join a frontier physical AI startup building autonomous systems that can experiment, reason, and discover in the real world. The team is a small, world-class group pushing beyond simulation and software-only AI. Their systems operate across a 20,000 sq ft physical intelligence factory and support a $42M federally funded program, enabling ML-driven agents to directly command real engineering tools and workflows. This role owns the automation substrate that connects AI agents to the physical world - unifying CAD, EDA, CAE, and scientific tools into clean, deterministic, agent-callable interfaces. You'll define how intelligent systems manipulate real engineering stacks at scale. What you'll do: Build reproducible adapters and automation pipelines that make heterogeneous engineering tools fully agent-callable Design structured APIs, parsers, classifiers, and fault-tolerant execution flows across CAD, EDA, CAE, and scientific toolchains Wrap commercial and open-source engineering tools into deterministic, scriptable workflows with robust validation and recovery Partner closely with ML researchers, agent systems engineers, and domain experts to automate end-to-end engineering workflows Make foundational architecture decisions in a fast-moving, first-principles environment What we're looking for: Senior or Lead-level experience automating engineering or scientific tools (e.g., CAD, EDA, CAE, CAM, COMSOL, simulation platforms) Strong systems-thinking ability across heterogeneous tools, file formats, and execution environments Proven ability to build reproducible, fault-tolerant automation pipelines and structured tool interfaces Comfort working at the boundary of software systems, ML-driven agents, and real-world engineering workflows Thrives in high-ownership, frontier research environments Location: San Francisco or Redwood City

💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG) 📋 GenAI Healthcare 📍 Hybird in SF 💸 Competitive base + hefty bonus We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform empowers physicians with AI-driven copilots, enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals across 300,000 facilities. The company brings together top healthcare and technology experts, operators, and leading clinical advisors to drive innovation in precision medicine. We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on Retrieval-Augmented Generation (RAG), knowledge systems, and AI-native backend architectures. This role is ideal for a senior technical leader who has designed and productionized LLM systems, worked with clinical, healthcare, or healthtech data, and can operate at both architectural and implementation depth. You will play a critical role in shaping the AI platform that powers clinician-facing copilots and decision-support tools, while ensuring correctness, safety, scalability, and regulatory compliance. Responsibilities: LLM & RAG System Architecture Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows. Architect knowledge retrieval systems that combine structured and unstructured clinical data (guidelines, policies, patient context, claims, formularies, etc.). Healthcare & Clinical AI Applications Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements. Partner closely with clinical, product, and data science teams to translate real-world clinical workflows into reliable AI-driven experiences. AI Platform & Backend Engineering Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management. Implement fault-tolerant, secure, and high-availability systems capable of operating at healthcare scale. Evaluation, Safety & Quality Lead the design of LLM evaluation frameworks (hallucination detection, grounding, faithfulness, latency, cost, and clinical relevance). Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals. Technical Leadership & Mentorship Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy. Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality. Cross-Functional Collaboration Work closely with data engineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of professional software engineering experience, with 3+ years working directly with LLM-based systems in production environments. Hands-on experience designing and deploying RAG architectures, including embeddings, vector databases, retrieval strategies, and prompt orchestration. Strong proficiency in Python and experience with modern backend stacks (REST/gRPC APIs, async systems, microservices). Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data. Proven ability to design systems that are scalable, secure, observable, and maintainable. Preferred Qualifications: Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets. Familiarity with LLM evaluation tooling and frameworks (e.g., RAGAS, custom eval pipelines, automated and human feedback loops). Experience with cloud-native architectures (preferably Azure) and containerized deployments. Knowledge of data privacy, governance, and security best practices in healthcare environments. Experience influencing technical direction at Staff or Principal scope across multiple teams or systems. Benefits: Competitive salary and performance-based bonuses. Opportunities for professional growth and leadership in a rapidly scaling AI-native healthcare company. Collaborative, mission-driven work environment with top-tier clinical and technical talent. Opportunity to build cutting-edge AI systems with real-world clinical impact. 📧 Interested in applying? Please click on the ‘Easy Apply' button