Machining engineer jobs in Mountain View, CA - 6,234 jobs

Machine Learning Engineer, Level 5 page is loaded## Machine Learning Engineer, Level 5locations: Palo Alto, California: New York - 229 W 43rd St: Bellevue - 110 110th Ave NE: Seattle - 2025 1st Avenue: San Francisco - 1160 Battery Sttime type: Full timeposted on: Posted Todaytime left to apply: End Date: March 31, 2026 (30+ days left to apply)job requisition id: Q126SWEML5is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We're looking for a Machine Learning Engineer to join Snap Inc!What you'll do:* Build and deploy machine learning models that power core products, serving millions of Snapchatters* Apply modern ML techniques to solve large-scale, real-world problems* Own the full ML lifecycle from data analysis to production deployment* Partner with cross-functional teams to prototype and launch ML-driven features Knowledge, Skills & Abilities:* Strong understanding of machine learning approaches and algorithms* Able to prioritize duties and work well on your own* Ability to work with both internal and external partners* Skilled at solving open ambiguous problems* Strong collaboration and mentorship skills Minimum Qualifications:* Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience* 5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience* Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning Preferred Qualifications:* Advanced degree in computer science or related field* Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks* Experience working with machine learning, ranking infrastructures, and system design If you have a disability or special need that requires accommodation, please don't be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!CompensationIn the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.:The base salary range for this position is $209,000-$313,000 annually.:The base salary range for this position is $199,000-$297,000 annually.:The base salary range for this position is $178,000-$266,000 annually.This position is eligible for equity in the form of RSUs. #J-18808-Ljbffr

Newark, DE, United States Santa Clara, CA, United States United States As a Principal Machine Learning Engineer in Hologic's Breast and Skeletal Health division, you will play a pivotal role in designing, developing, and deploying advanced AI algorithms for next‑generation medical devices. You will focus on creating and validating AI‑driven solutions for breast cancer detection in breast tomosynthesis (3D mammography). Your work will have a direct impact on patient outcomes by ensuring our technologies are robust, safe, and clinically validated-upholding Hologic's mission to deliver innovation with precision and reliability. What You'll Bring Knowledge Deep expertise in machine learning and deep learning, including supervised and self‑supervised methods. Mastery of cutting‑edge neural network architectures and training techniques. Strong foundation in computer vision, data preprocessing, feature engineering, and statistical analysis. Experience with model validation and performance benchmarking. Knowledge of software engineering best practices for building maintainable, scalable systems. Bonus: Familiarity with FDA regulatory standards for AI in healthcare, DICOM format, digital breast tomosynthesis, and breast cancer pathology/diagnostic workflows. Skills Advanced programming in Python and C++, with proficiency in ML/data science libraries (e.g., Pandas, OpenCV, XGBoost, NumPy, SciPy). Hands‑on experience with deep learning frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, Azure, GCP). Proven ability to design, implement, and optimize machine learning pipelines for large‑scale, high‑dimensional 3D medical imaging data. Experience deploying and maintaining models in production environments. Strong problem‑solving skills for translating clinical requirements into technical solutions. Excellent communication skills for technical documentation and stakeholder presentations. Effective cross‑functional collaboration with engineers, clinicians, and product managers. Behaviors Demonstrates leadership and initiative in driving complex projects from concept to deployment. Champions a collaborative, open, and success‑driven team culture. Maintains high standards of integrity, accountability, and ethical decision‑making. Adapts quickly to evolving technologies and priorities. Proactively seeks feedback and growth opportunities. Shows resilience and resourcefulness in technical and regulatory challenges. Prioritizes patient safety, data privacy, and compliance. Inspires teams through commitment to Hologic's mission and values. So why join Hologic? We are committed to making Hologic the company where top talent comes to grow. For you to succeed, we want to enable you with the tools and knowledge required and so we provide comprehensive training when you join as well as continued development and training throughout your career. We offer a competitive salary and annual bonus scheme, one of our talent partners can discuss this in more detail with you. If you have the right skills and experience and want to join our team, apply today. We can't wait to hear from you! The annualized base salary range for this role is $126,000 - $210,100 and is bonus eligible. Final compensation packages will ultimately depend on factors including relevant experience, skillset, knowledge, geography, education, business needs and market demand. Agency and Third‑Party Recruiter Notice: Agencies that submit a resume to Hologic must have a current executed Hologic Agency Agreement executed by a member of the Human Resource Department. In addition Agencies may only submit candidates to positions for which they have been invited to do so by a Hologic Recruiter. All resumes must be sent to the Hologic Recruiter under these terms or they will not be considered. As part of our commitment to a fair and accurate evaluation of each candidate's qualifications, we require all applicants to refrain from using AI tools, such as generative AI or automated writing assistance, during any stage of the interview process. Responses influenced by AI may result in disqualification. We appreciate your understanding and cooperation in ensuring a transparent and equitable selection process. Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans. LI-#DS1 #J-18808-Ljbffr

Tensor is an agentic AI company dedicated to building agentic products that empower individual consumers. Our flagship product, the Tensor Robocar, is the world's first personal Robocar and the first AI agentic vehicle - fully autonomous, automotive-grade, and built for private ownership at scale. Founded in 2016 in Silicon Valley, Tensor is headquartered in San Jose, California, with offices in Barcelona, Singapore, and Dubai. At Tensor, we champion personal AI autonomy and ownership. Our vision is to build a future where everyone owns their own Artificial General Intelligence - a personal AGI that enables more time, freedom, and autonomy. We're forging an alternative path where AGI serves only you, and is controlled solely by you. We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements. Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact. Locations San Jose, California, US (Salary Range: $75k-$300k USD) Barcelona, Catalonia, Spain Dubai, UAE Responsibilities Research, design and implement novel computer vision and deep learning methods on autonomous driving lidar/camera data Solve difficult problems independently and creatively Communicate effectively with team members and stakeholders Qualifications MS/Ph.D. degree in Computer Science/Robotics/Mechanical Engineering/ Electrical Engineering, or related technical field(or equivalent experience) Strong curiosity about tackling and solving new real-world problems Strong background in Computer Vision and Machine Learning Solid programming skills with c++ and python/torch Experience with points cloud deep learning project is a big plus We appreciate your interest in joining Tensor. Tensor is an equal employment opportunity employer, dedicated to fostering a respectful, supportive, and inclusive workplace for all. We do not discriminate against, and strictly prohibit harassment of, any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, military or veteran status, genetic information, or any other characteristic protected by applicable law. Tensor also considers qualified applicants with criminal histories in accordance with applicable laws. We are committed to providing equal opportunities for qualified individuals with disabilities. Tensor is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Designed in California. Available around the world. #J-18808-Ljbffr

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. The Splunk AI Platform and Services team provides the core runtime and developer experience that power AI across Splunk and Cisco. We manage large-scale, multi-tenant LLM inference across major cloud providers and build platform services to support these workloads. We also provide VectorDB/RAG services and MCP services that make AI workloads secure, observable, and cost-efficient for product teams. On top of this foundation, we deliver agentic frameworks, SDKs, tools, and evaluation/guardrail capabilities that help teams quickly build reliable GenAI assistants and automation features. You'll join a group that sits at the intersection of distributed systems, ML, and developer experience, grounded in operational excellence and a culture of impact‑driven, cross‑functional collaboration. Your Impact Implement features for GenAI services and APIs that power chat assistants, and automation workflows across Splunk products. Help build and maintain RAG pipelines: retrieval orchestration, hybrid search, chunking & embeddings, and grounding with logs/events/metrics. Contribute to agentic and multi‑agent workflows using frameworks like LangChain or LangGraph, integrating with MCP tools, internal APIs, and external systems. Develop and refine developer‑facing SDKs, templates, and reference apps (primarily Python/TypeScript) that make it simple for other teams to compose tools, chains, and agents on top of it. Integrate with LangSmith or similar eval stacks to instrument prompts, capture traces, and run evaluations under the guidance of more senior engineers and scientists. Collaborate with product managers and UX to turn user stories into GenAI experiences, iterate based on feedback, and ship features that move customer and business metrics. Apply and advocate responsible AI practices in day‑to‑day work: grounding, guardrails, access controls, and human‑in‑the‑loop flows. Minimum Qualifications: Bachelor's degree in computer science, Engineering, or equivalent practical experience. 5+ years of hands‑on experience building and operating backend or distributed systems in production or 2+ years of experience with a Master's degree Proficiency in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Go, or Java) and solid software design/debugging skills. Some hands‑on experience with LLM APIs and ecosystems (e.g., OpenAI, Claude, Bedrock, or OSS models such as Llama) and related production features. Familiarity with web APIs and microservices (REST/gRPC), including testing, deployment, and basic observability (logs/metrics). Demonstrated ability to work end‑to‑end on features: collaborate on design, implement, write tests, help deploy, and iterate based on metrics or feedback. Preferred Qualifications: Experience or strong interest in RAG systems and vector databases (Weaviate, Qdrant, Milvus, FAISS, etc.). Exposure to agentic frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar) and tool/agent orchestration patterns. Familiarity with LangSmith or similar evaluation platforms, or experience instrumenting prompts/pipelines for quality and debugging. Background contributing to platform or Developer experiences capabilities: internal libraries, SDKs, templates, or shared components that other engineers use. Experience with full‑stack development for GenAI interfaces (React/TypeScript), including prompt UX or conversation flows, is a plus. Understanding basic AI safety and governance concepts (guardrails, data privacy, RBAC) and how they apply in an enterprise environment. Strong communication skills and a growth mindset, comfortable asking questions, giving/receiving feedback, and learning from more senior teammates. 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 $181,000.00 to $235,000.00 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: $181,000.00 - $270,300.00 Non‑Metro New York state & Washington state: $165,300.00 - $240,600.00 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

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Machine Learning Engineer III Introduction to the Team: Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. We are seeking a Machine Learning Engineer III to join our Universal Messaging Platform team. This role will focus on growing our CRM Personalization initiatives to transform how we engage travelers through marketing channels like email, push, SMS, and WhatsApp. This role will be instrumental in building scalable ML pipelines and infrastructure that power personalized marketing communications, leveraging engagement signals. You'll work closely with ML Scientists, CRM product teams, and marketing stakeholders to develop and deploy models that go beyond site behavior-enabling smarter segmentation, content recommendations, and campaign optimization. In this role, you will: ML Infrastructure & Pipelines: Design and implement robust, scalable ML pipelines for batch and real-time personalization across CRM channels Model Deployment: Operationalize ML models built by ML scientists, ensuring seamless integration with marketing platforms and campaign orchestration tools Data Engineering: Build and maintain data pipelines that ingest and transform marketing engagement data Cross-Functional Collaboration: Partner with CRM, marketing, and analytics teams to align technical solutions with business goals Personalization at Scale: Enable real-time inference and personalization for millions of travelers across multiple brands and communication channels Tooling & Automation: Develop reusable components, APIs, and orchestration workflows to support experimentation and deployment Monitoring & Optimization: Ensure reliability, scalability, and performance of ML systems; implement monitoring and alerting for production workflows Mentorship & Best Practices: Contribute to code reviews, mentor junior engineers, and promote engineering excellence across the team Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field 5+ years of experience in ML engineering or software engineering with ML systems Strong programming skills in Python Experience with ML frameworks (e.g., TensorFlow, PyTorch, XGBoost) and model serving patterns Proficiency in big data technologies (e.g., Spark, Hive, Databricks) and cloud platforms (e.g., AWS) Experience working with containerization, deployment, and orchestration technologies (Docker, Kubernetes, Flyte/Airflow, CI/CD pipelines, etc.) Understanding of ML lifecycle and experience deploying models in production Strong understanding of personalization, experimentation, and customer-centric design models Preferred Qualifications: Hands-on experience with Java or Scala Familiarity with marketing data and CRM systems The total cash range for this position in San Jose is $157,500.00 to $220,500.00. Employees in this role have the potential to increase their pay up to $252,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group™ Media Solutions, Expedia Local Expert , CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain ********************. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization. #J-18808-Ljbffr

At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn't just valuable but also usable, trusted, and safe. Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you. Protegrity is looking for a Machine Learning Engineer (PhD or MS Required) Location: Menlo Park, CA (In-office, Mon-Thu) The global data privacy software market is projected to grow from $2.36 billion in 2022 to $25.85 billion by 2029. Join us on this journey and make an impact with one of the top 25 global software providers. We look forward to making our world become a better place with you on our team. About the Role This role is designed for a PhD or MS graduate in Computer Science with 2+ years of GenAI experience or equivalent technical projects. You'll work on securing AI workflows and building agentic tools in a collaborative, fast-paced environment. Responsibilities Develop and test GenAI architectures using agentic coding IDEs. Conduct experiments and summarize findings. Present research and experimental results to the team. Fine-tune LLMs and embedding models. Apply ML algorithms to large datasets. Process structured and unstructured data. Participate in architectural design and roadmap discussions. Qualifications PhD or MS in Computer Science. 2+ years GenAI experience or equivalent projects. 3-5 years Python experience. Experience with PyTorch, TensorFlow. Solid understanding of ML algorithms and metrics. Exposure to data security practices. Strong collaboration and learning mindset. Why Choose Protegrity Become a member of a leading Data Protection, Privacy and Security company during one of the best market opportunities to come along in a generation. Competitive Compensation/Total Reward Packages that include: Health Benefits (Health/Dental/Vision) Paid Time Off (PTO) 401K Annual Bonus Incentives Short and Long Term Disability Work on global projects with diverse, energetic, team members who respect each other and celebrate differences Talent First Workforce Should you accept this position, you will be required to consent to and successfully complete a background investigation. This may include, subject to local laws, verification of extended education and additional criminal and civil checks. We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development. Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status. Please reference Section 12: Supplemental Notice for Job Applicants in our Privacy Policy to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Protegrity USA, Inc., or its parent company, subsidiaries or affiliates, and the purposes for which we use such personal information. #J-18808-Ljbffr

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you'll have the opportunity to work on the core of cutting‑edge foundation model training, alongside world‑class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem‑solving skills will be instrumental in establishing MBZUAI as a global hub for high‑performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role The Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting‑edge systems. The ideal candidate will have a strong background in parallel computing, and hands‑on experience in system level coding, debug methodologies, and large‑scale machine learning experience. Key Responsibilities Understand, analyze, profile, optimize, and provide guidance to the team on deep learning workloads on state‑of‑the‑art hardware and software platforms to improve their efficiency with different levels of optimization Design and implement performance benchmarks and testing methodologies to evaluate application performance Build tools to automate workload analysis, workload optimization, and other critical workflows Triage system issues and identify bottleneck and inefficiencies by analyzing the sources of issues and the impact on hardware, network and propose solutions to enhance GPU utilization Support the team to develop appropriate kernels and systems for new model architectures and algorithms Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Represent MBZUAI at industry conferences and events, showcasing the institution's cutting‑edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation. Perform all other duties as reasonably directed by the line manager that are commensurate with the functional objectives. Academic Qualifications Ph.D. in CS, EE or CSEE with 1+ years working experience, OR Masters in CS, EE or CSEE or equivalent experience with 2+ years working experience $150,000 - $450,000 a year Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include Comprehensive medical, dental, and vision benefits Bonus 401K Plan Generous paid time off, sick leave and holidays Paid Parental Leave Employee Assistance Program Life insurance and disability #J-18808-Ljbffr

Member of Technical Staff, Machine Learning Engineer What You'll Work On At Reinforce Labs, we partner directly with customers to build AI systems that enhance the safety and reliability of their complex, high-impact applications. In this role, you'll engage directly with clients to deeply understand their specific challenges, conduct thorough data analysis, and deliver trust and safety AI solutions. You'll implement advanced machine learning techniques including LLMs, reinforcement learning, and deep learning - often translating cutting‑edge research papers into practical applications. This position combines technical depth with significant client‑facing responsibilities. You'll tackle high‑stakes problems with unclear solutions but real‑world consequences. Key responsibilities include: Conducting technical research with customers to map critical workflows and developing sophisticated AI probes that identify potential edge‑case failures Performing comprehensive data analysis to build specialized classifiers that detect subtle risks, violations, and anomalies Implementing and fine‑tuning generative models that can simulate rare or high‑risk scenarios Designing systems that enhance human decision‑making under pressure Our success is measured by real‑world impact. You'll develop and ship solutions that protect people and platforms at scale while building trusted relationships with the clients who depend on our technology. Must‑Have Experience with ML and deep learning frameworks such as PyTorch or TensorFlow Ability to translate cutting‑edge research papers into practical AI applications Hands‑on experience training and deploying machine learning models in production Proficiency in Python Nice‑to‑Have Experience partnering with trust & safety leads and background in trust & safety, moderation, AI safety, or security‑focused ML to deliver state‑of‑the‑art solutions [a big plus] An advanced degree in computer science or a related field LLM and agentic framework experience Experience in early‑stage startups Experience in customer‑facing AI technical solutions Contributions to high value AI/ML community projects Who We Are Reinforce Labs is a small team with a clear mission: to use AI to make critical systems safer, not just smarter. We value: Willingness to learn new things, take on diverse tasks, and challenge yourself Hands‑on technical excellence Ownership Ability to handle ambiguity Fast, results‑driven delivery #J-18808-Ljbffr

Gauss Labs is looking for a passionate and talented AI Engineer for developing cutting-edge Industrial AI solutions that will normalize the standard of AI for manufacturing. We are working with the world's best manufacturing customers while accessing the vast amount of real data from their manufacturing processes. We apply state-of-the-art AI technologies to the data and develop unprecedented AI/ML solutions to transform manufacturing to the next level. As an AI Engineer, you will be responsible for translating cutting-edge AI and machine learning research into robust, scalable software solutions. Your work will ensure the seamless integration of models into production environments and contribute to the broader success of AI initiatives across the company. You will develop AI software by working with seasoned Applied Scientists, Software Engineers, and Program Managers located in Palo Alto, California, USA and Seoul, South Korea. Responsibilities Collaborate with AI Scientists to understand model requirements and design scalable, efficient ML pipelines. Build and maintain reliable, performant infrastructure for data processing, model training, evaluation, and deployment. Own the end-to-end implementation of ML systems from research prototypes to production-grade code. Optimize model training/inference, latency, and resource usage to meet performance and system constraints. Develop monitoring, observability, and CI/CD tooling to support the full ML lifecycle in staging and production environments. Ensure engineering best practices in code quality, testing, documentation, and software reliability. Interface with product and engineering teams to understand requirements and drive integration of AI systems into user-facing applications. Key Qualifications BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field. Proficiency in one or more modern programming languages such as Python, C++, or Java with an understanding of algorithms and data structures. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. 3+ years building production-ready ML infrastructure, including data pipelines, training/inference workflows, and deployment automation. Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Experience developing software applications and services with an understanding of design for scalability, performance, and reliability. Strong problem-solving skills, attention to detail, and a collaborative mindset when working with research and product teams. Preferred Qualifications MS or Ph.D. in Computer Science, Electrical Engineering, Machine Learning or related technical field. Knowledge of professional software engineering practices including source control management, code reviews, testing, and continuous integration/deployment. Experience in optimizing training and inferencing structures for large scale ML/DL models. Experience deploying machine learning models into production environments (e.g., batch, real-time, or edge deployments). Experience in distributed/parallel systems, information retrieval, networking, and systems software development. Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform. #J-18808-Ljbffr

This is an opportunity with an early stage startup. (M-F, in Mountain View, CA) About the Role We're looking for an ML research-focused software engineer to join us on our mission to build AI superpowers for developers. What you'll do Train and fine-tune large language models Navigate high levels of uncertainty and prioritize high-value ML experiments to maximize product impact Demonstrate initiative and the ability to start and make progress on projects independently Swiftly design, track, and analyze experiment results. Meticulously document findings, conduct ablation studies, and synthesize data into actionable insights. Participate in the ML reading group and level up the team's knowledge of LLM training and infrastructure About you Strong software engineering skills. There are no pure research scientists at the company. Strong grasp of the feasibility frontier of CS, AI, and LLMs, from H100 bandwidth to GPT-4 capabilities to vector database performance. Deep curiosity about the code generation problem. Willingness to constantly re-examine priors in the face of new discoveries. Skilled in transforming successful experimental outcomes into robust, scalable features for the core product offering Experience training and iterating on large production neural networks in any domain (self-driving, language models, etc.) is a strong plus Familiarity with AI-powered developer tools like Copilot, ChatGPT, and others is a strong plus What we believe Our best work is done in person. The team goes in 5 days a week into our office in downtown Mountain View, CA (within walking distance of the Caltrain station). Research is in service of a better product. While we read many papers, we won't have time to write them. The best AI researchers have excellent software engineering skills and know that infrastructure and evaluation work are critical. #J-18808-Ljbffr

About Creatify Creatify is building the world's first end-to-end AI advertising agent-a platform that automates the entire video ad lifecycle, from scripting and avatar-led generation to testing, optimization, and publishing across Meta, TikTok, YouTube, and more. In just 18 months, we've surpassed $10 million in ARR, serving over 1.5 million users across 10,000+ teams. Leading brands-including Alibaba, HubSpot, Binance, NewsBreak, and Zumper-use Creatify to produce personalized, high-performing video ads in minutes. We have raised $24M in funding from leading Silicon Valley firms including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Comcast Ventures, Creator Ventures, Leadout Capital, Hat Trick Capital, and many more. Check out our latest coverage by Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024. Based in Mountain View, we are a team of passionate AI researchers, engineers, and advertising veterans. Join us in reinventing the advertising industry with AI. About this role We're hiring a Machine Learning Engineer to design and scale advanced models and systems for prediction, recommendation, and generative AI. In this role, you'll work on large-scale applied ML problems, build state-of-the-art solutions, and mentor junior engineers while occasionally leading projects. This is a full-time, in-person position based in Mountain View, CA. Responsibilities Research, design, develop, and test operating-systems-level software, compilers, and network distribution software for massive social data and prediction problems. Bring extensive industry experience across ranking, classification, recommendation, and optimization problems (e.g., payment fraud, CTR/CVR prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, spam detection), or expertise in modern generative and foundation model approaches (e.g., LLMs, transformers, diffusion models). Tackle large-scope problems; develop highly scalable systems, algorithms, and tools leveraging deep learning, data regression, and rules-based models. Suggest, collect, analyze, and synthesize requirements and identify bottlenecks across technology, systems, and tools. Build solutions that iterate quickly, efficiently leverage orders of magnitude more data, and explore state-of-the-art deep learning techniques. Demonstrate strong engineering craft and operate with minimal guidance while mentoring junior engineers. Apply advanced ML methods to fully exploit modern parallel environments (e.g., distributed clusters, and GPU). Lead small teams or projects where necessary, providing technical guidance, code reviews, and architectural direction. Qualifications Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or a related field. 4+ years of industry experience in software engineering or applied machine learning roles (E5+ or equivalent). Proven track record of delivering large-scale systems and solving complex applied ML problems in production. Prior experience in a tech lead (TL) capacity, such as driving technical direction, mentoring teammates, or coordinating cross-functional projects. We are an equal opportunity employer and highly value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

Join our AI platform team as a Machine Learning Engineer, focusing on Generative AI and large language models (LLMs) to enhance Corvic's deep insight capabilities. Responsibilities Develop and deploy generative AI and LLMs within our product ecosystem Collaborate with cross-functional teams to integrate AI technologies seamlessly Manage AI models from development to deployment, focusing on natural language processing Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field Expertise in Python, TensorFlow, or PyTorch Experience with cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes) Knowledge of machine learning techniques such as embeddings, deep models, and feature engineering Strong background in generative AI, especially transformers and NLU models, and how to manage them Comfort in fast-paced and evolving work environments #J-18808-Ljbffr

Software Engineering Mountain View, CA (HQ) About the team: Tapestry is Alphabet's moonshot for the electric grid, working at the frontier where energy's complexity meets AI's potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain. To keep pace with humanity's growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced AI-enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently-ensuring electricity remains reliable and affordable for everyone. This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future. Joining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design-all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here. About the role: We're looking for a Staff Machine Learning Engineer to join our team. In this role, you will be responsible for developing and deploying state of the art machine learning models to solve complex challenges that face today's electric grid. You'll have the opportunity to lead model building and development across diverse ML domains such as time series analysis, planning and reinforcement learning, multi modal information retrieval and reasoning and agentic AI. In this role, you will be responsible for setting a vision for one or more of the above areas, work with and mentor junior machine learning engineers, lead cross-functional collaborations and build the state of the art machine learning models to help power the grid of tomorrow. How you will make 10x impact Design, train, and deploy machine learning models in production environments. Lead the development of ML systems for one or more of planning and reinforcement learning, forecasting and multimodal machine learning Set long term strategy and actively collaborate with product, engineering, and data science teams to identify and address key business problems Mentor junior engineers and scientists and contribute to the team's technical growth. Stay abreast of the latest advancements in machine learning What you should have Master's Degree/Bachelor's Degree in Machine Learning, Computer Science, Statistics or equivalent practical experience. 10+ years of professional experience in machine learning model development and engineering. Deep expertise in one or more of the following areas: planning and control, reinforcement learning, forecasting, multimodal machine learning and information retrieval Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow. Experience with building and deploying ML systems at scale, and a proven ability to lead applied ML research and developing the state of the art Proven ability to work on cross-functional projects and deliver results in a fast-paced, collaborative environment It'd be great if you also had these PhD in Machine Learning, Computer Science, Statistics, or a related field Experience with cloud platforms such as AWS, GCP, or Azure. Familiarity with MLOps practices and tools. A strong portfolio of projects demonstrating expertise in multiple ML domains. The US base salary range for this full-time position is $197,000 - $288,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. An Equal Opportunity Workplace At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The position is located in Mountain View, CA. #J-18808-Ljbffr

About Treering Treering, a Silicon Valley-based tech company, helps people preserve and celebrate their memories. By combining just-in-time digital printing with the power of AI tools, Treering delivers personalized keepsakes that celebrate important milestones and events. About the Role We are seeking a highly skilled AI Engineer to lead the maintenance and enhancement of our existing AI solutions. This role will be crucial in ensuring the smooth operation and continuous improvement of our AI-driven product generation process. You will be working with a suite of APIs designed to analyze, score, and rank photos, making critical decisions to automatically generate photobooks, yearbooks, and other print-on-demand products. Responsibilities AI Systems Maintenance: Maintain and optimize existing AI solutions, including APIs for photo analysis, scoring, and ranking. Enhancement and Development: Develop and enhance AI models and algorithms to improve the accuracy and efficiency of automated product generation. API Management: Oversee and manage the suite of APIs used in our AI solutions. Cloud Infrastructure: Utilize and manage AWS services such as Rekognition, Lambda, SageMaker, Step Functions, SQS, OpenSearch, S3, and RDS. State Machine Management: Design, implement, and manage state machines for orchestrating AI processes. Programming: Write and maintain Python code for AI models and API development. Monitoring and Troubleshooting: Monitor AI system performance, troubleshoot issues, and implement solutions. Collaboration: Work closely with cross-functional teams to integrate AI solutions into the overall product workflow. What We're Looking For Bachelor's or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 6+ years of experience in AI development and deployment. Strong proficiency in Python programming. Extensive experience with AWS services, including Rekognition, Lambda, SageMaker, Step Functions, State Machines, SQS, OpenSearch, S3, and RDS. Experience with API development and management. Solid understanding of machine learning algorithms and techniques. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Strong leadership and mentoring abilities. Why Join Treering? Impact: Your work directly contributes to modernizing the yearbook industry. Innovation: Work with cutting-edge technologies in an agile environment. Growth: Opportunities for career advancement and professional development. Culture: A collaborative, inclusive, and supportive team environment. Benefits Comprehensive medical, dental, vision, life/AD&D, and disability coverage Pre-tax savings/spending plans, including HSA employer contributions Parental Leave Benefits Pre-tax and Roth 401(k) plan with an employer contribution Flexible vacation for salaried Twelve paid holidays throughout the year $180,000 - $200,000 a year If you are an experienced software engineer who thrives in a dynamic environment and is passionate about designing and implementing innovative web solutions, we invite you to apply. #J-18808-Ljbffr

Altera .**About the Role** We are seeking a Machine Learning Engineer to help drive the development, optimization and deployment of Altera FPGA Compiler. In this role, you will work at the intersection of **machine learning and compiler/toolchain development****Key Responsibilities** Develop, optimize, and deploy advanced machine learning technologies to enhance FPGA compiler performance, focusing on timing closure, resource utilization, and power efficiency.Evaluate and integrate emerging ML models (e.g., graph neural networks, reinforcement learning) and frameworks (e.g., PyTorch, TensorFlow) for compiler optimization tasks like placement, routing, and logic synthesis.Collaborate with customers, FPGA architects, and internal engineering teams to gather ML requirements, define success metrics, and deliver tailored, production-ready solutions. factors including job location, job-related knowledge, skills, experiences, * Bachelor's Degree or higher in Computer Science, Electrical Engineering, or a related field.* 10+optimization or ML systems engineering.* Experience with C++ and Python in production or research environments.**Preferred Qualifications*** Experience with Agile methodologies, GitHub Copilot or similar AI coding assistants, and high-performance computing environments.* Familiarity with edge AI inference on FPGAs and neuro-symbolic AI techniques.**Minimum Qualifications** years of experience in machine learning development, model Strong communication skills for cross-functional collaboration and presenting results at conferences like DAC or FPGA World. #J-18808-Ljbffr

Role Description We are seeking an experienced machine learning engineer to join our seeded founding team to drive the development and innovation of our ML platform. Ideal candidates bring extensive experience in building the next generation of machine learning models and their training and serving infrastructure for the Spector. This role requires a hands‑on engineer who is passionate about our mission, thrives in a startup environment, and is committed to pushing the boundaries of what ML and GenAI can achieve in industrial resilience. You will: Create ML models which help drive value for users and our company. Build scalable ML model training and serving infrastructure. Evaluate the technical tradeoffs of every decision. Perform code reviews and ensure exceptional code quality. Iterate quickly without compromising quality. Must Have: Bachelor's Degree in a relevant technical field such as computer science and 3+ years of post‑Bachelor's machine learning experience; or Master's degree in a technical field + 2+ years of post‑grad machine learning experience; or PhD in a relevant technical field + 1 year of post‑grad machine learning experience. Experience developing machine learning models for supervised, unsupervised, ranking, or other relevant applications of machine learning. Strong understanding of machine learning approaches and algorithms. Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit‑learn, or related frameworks. Ability to work with both internal and external partners. Strong collaboration and mentorship skills. Entrepreneurial mindset: Highly self‑motivated and adaptable with a passion for innovation, problem solving, and making a meaningful impact in a startup environment. Willingness to take ownership and drive projects from concept to implementation. Preferred to have: Experience in on‑prem ML model deployment and observability. Experience in building and deploying ML models for real‑time time‑series data like sensor/IoT data. About Spector.ai Spector.ai is a well‑funded, fast‑paced, innovative seed‑stage startup focused on a mission to solve the $1.5 trillion challenge of industrial asset reliability. Spector is building an AI‑first industrial agent platform designed to transform plant reliability and performance from reactive to autonomous operations. By combining machine learning and domain‑specific industrial AI agents, Spector.ai enables real‑time diagnostics, root cause analysis, and actionable recommendations at scale. The platform extracts insights from complex industrial data including unstructured documentation and live sensor streams reducing false positives, shortening time to resolution, and scaling expertise without reliance on data scientists. #J-18808-Ljbffr

A leading technology research organization in California seeks a machine learning engineer to develop foundational models for robotics. The role involves enhancing hardware infrastructure, building APIs for data handling, and designing evaluation metrics. Ideal candidates have hardware and communication protocol experience, along with strong software skills in Python and a passion for robotics. Competitive pay ranges from $176,000 to $264,000, with a comprehensive benefits package. #J-18808-Ljbffr

At Apple, we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products. We are looking for a forward-thinking and talented engineer. As a member of our team, you will have the opportunity to craft and implement methodologies with high impact on upcoming products that will delight millions of Apple's customers. In this role, you will be involved in our physical design machine learning efforts, collaborating with internal teams, and using your expertise to ensure that our SOCs achieve optimal Power, Performance, and Area (PPA). Description As part of the physical design machine learning architecture team, you will work on building efficient application processors for Apple products. Your experience in physical design and machine learning will help solve complex problems across RTL design, logic synthesis, floor planning, power/clock distribution, place and route, timing/noise analysis, power/thermal analysis, voltage drop analysis, and manufacturing/yield considerations. You will collaborate with design, power, post silicon, CAD, software, and machine learning teams in a dynamic environment. Minimum Qualifications Bachelor's degree and 3+ years of relevant industry experience. Understanding of optimization algorithms, data structures, and linear algebra. Knowledge of VLSI fundamentals, including physical design. Preferred Qualifications Experience with advanced machine learning algorithms like GNNs, VAEs, transformers, diffusion models, LLMs. Programming skills in Python and C/C++. Master's or PhD with relevant publications in Machine Learning or EDA algorithms. Strong communication and organizational skills. At Apple, compensation includes base pay within a range depending on skills and experience, along with stock programs, benefits, and educational reimbursement. The role may also be eligible for bonuses, commissions, or relocation support. Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. #J-18808-Ljbffr

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 Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation. Your Impact Dive into the development and implementation of cutting‑edge generative AI applications using the latest large language models-think GPT‑4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer‑based models, student‑teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine‑tuned, and put through their paces for real‑world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross‑functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production‑ready code, robust testing, and creative problem‑solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! Minimum Qualifications Recent graduate or in your final year of toward a PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field. 3+ years of experience in backend development using Go or Python. Understanding of LLM infrastructure and optimization, validated by technical interview responses, project documentation, or relevant publications. Hands‑on experience with model building and AI/LLM research, demonstrated through portfolio work, code samples, technical assessments, or documented academic or professional projects. Preferred Qualifications Experience working with inference engines (e.g., vLLM, Triton, TorchServe). Knowledge of GPU architecture and optimization. Familiarity with agent frameworks. Exposure to cloud native solutions and platforms. Experience with cybersecurity principles and Python programming, including common AI libraries. Familiarity with distributed systems and asynchronous programming models. 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: $181,000.00 - $270,300.00 Non‑Metro New York state & Washington state: $165,300.00 - $240,600.00 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 Affir mative 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