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Job Description Head of Finance Location: Los Gatos, CA Company Overview: Join an innovative, high-growth Hospitality organization with deep European roots, now expanding aggressively across North America. We're a dynamic team blending old-world craftsmanship with cutting-edge technology, revolutionizing our industry through AI-driven insights, cloud-based efficiencies, and forward-thinking financial strategies. If you're passionate about scaling operations in a fast-paced environment, this is your opportunity to lead finance at the forefront of innovation. Job Summary We are seeking a visionary Head of Finance to oversee our North American financial operations from our Los Gatos headquarters. This role is pivotal in driving strategic growth, optimizing financial systems, and integrating the latest technologies like AI for projections and analytics. Reporting directly to the CEO, you'll lead a talented team and collaborate cross-functionally to support our expansion goals. Key Responsibilities • Develop and execute financial strategies aligned with our North American growth objectives, including budgeting, forecasting, and long-term projections using advanced AI tools., • Oversee implementation and optimization of cloud-based financial systems (e.g., ERP, CRM integrations like NetSuite, SAP S/4HANA Cloud, or similar platforms)., • Lead financial modeling, risk assessment, and scenario planning with cutting-edge analytics and machine learning applications., • Manage cash flow, capital allocation, and investment strategies to fuel expansion while ensuring compliance with US and international regulations., • Build and mentor a high-performing finance team, fostering a culture of innovation and continuous improvement., • Collaborate with executive leadership on M&A opportunities, partnerships, and market entry strategies., • Integrate emerging fintech solutions, such as blockchain for transactions or AI-powered fraud detection, to streamline operations., • Bachelor's degree in Finance, Accounting, Business, or related field; MBA or CPA preferred., • 10+ years of progressive finance experience, with at least 5 years in a senior leadership role, ideally in a high-growth tech, consumer goods, or scaling international company., • Expertise in cloud-based financial systems (e.g., AWS, Azure, or Google Cloud integrations for finance ops)., • Proven track record with AI-driven financial tools for projections, predictive analytics, and automation (e.g., experience with tools like IBM Watson, Oracle AI, or custom ML models)., • Deep knowledge of cutting-edge finance programs, including robotic process automation (RPA), real-time reporting, and sustainable finance metrics., • Strong understanding of North American market dynamics, with experience in scaling operations from European headquarters a plus., • Exceptional analytical, strategic, and communication skills; ability to thrive in a multicultural, entrepreneurial environment., • Base salary of $120,000 (dependent on experience - DOE) plus a $20,000 annual incentive program tied to company and individual performance., • Significant equity participation to align with our high-growth trajectory., • Comprehensive benefits including health, dental, vision, 401(k) matching, and generous PTO., • Opportunities for international travel and collaboration with our European teams., • A collaborative, innovative culture with access to the latest tools and professional development resources. If you're a forward-thinking finance leader ready to harness AI and cloud technologies to drive explosive growth—even at a competitive entry-level executive package with strong upside—we'd love to hear from you. Apply by sending your resume and a cover letter outlining your experience with cutting-edge financial systems to

Job DescriptionGridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean power by optimizing renewable energy and grid-scale batteries. With offices in the Bay Area and Houston, we bring together Silicon Valley–style innovation with deep, hands-on expertise in real-world power markets and energy retail.As solar and wind become the fastest-growing sources of electricity, variability from weather and grid conditions makes energy prices more volatile. Gridmatic tackles this challenge with industry-leading forecasting and optimization—and gives our team the opportunity to work on problems that truly matter. Forecasting and trading energy are the foundation of what we do. We ingest large-scale data—weather, prices, load, and grid conditions—to build probabilistic machine learning forecasts that drive real operational decisions. Our work directly determines when power is bought, stored, or deployed, turning uncertainty into value for customers and the grid.Our impact is measurable. Gridmatic is the most profitable participant in ERCOT’s wholesale market and operates the top-performing battery asset in CAISO. Profitable without venture capital, we offer a collaborative, low-ego environment where rigorous thinking, autonomy, and continuous learning are core to how we work. We're seeking a strategic and hands-on Head of People to lead our HR and Recruiting functions. This is a critical leadership role for someone who thrives in a fast-paced, high-growth environment and understands the unique dynamics of a software engineering company. You will be instrumental in building a world-class team and fostering a culture where our engineers and all employees can do their best work.What you will work on: * People team leadership: Lead a high output People team that supports our growth from 65 employees today to many more in the future. * HR operations & culture: Oversee all aspects of HR, including compensation and benefits, performance management, employee relations, learning and development, and HR compliance. Champion our company culture and ensure it evolves positively with our growth. * Talent acquisition: Lead our recruiting efforts, building scalable processes and strategies to attract, hire, and onboard top-tier talent and other critical roles. * Coaching & development: Provide guidance and support to managers on all people-related matters, helping them build effective teams and develop their leadership skills. * Engineering team structuring: Partner closely with engineering managers to design and optimize software engineering team structures that promote efficiency, collaboration, and high performance. * Employee experience: Foster a positive and inclusive employee experience, promoting engagement, efficiency, retention, and professional growth. * Data-driven decision-making: Utilize HR metrics and data to inform decision-making, identify trends, and measure the effectiveness of people initiatives. You might be a good fit if you bring: * Leadership: 8+ years of progressive HR leadership experience, with at least 3 years in a Head of People or similar senior leadership role for a technology company. * Growth stage experience Demonstrated experience successfully scaling the HR function for a team that grew from approximately 50 to 500+ employees. * Expertise with software teams: Deep understanding of software engineering organizations and a proven ability to partner effectively with engineering leaders on team structure, talent development, and organizational challenges. * Full-cycle HR & recruiting: Strong expertise across all HR disciplines (talent acquisition, compensation, benefits, HRIS, employee relations, learning & development) and a track record of building effective recruiting functions. * Both strategy & action: Ability to think strategically about people initiatives while also being willing to roll up your sleeves and execute. * Communication & influence: Excellent communication, interpersonal, and negotiation skills, with the ability to build trust and influence at all levels of the organization. * Presence in the office: Ability to work on-site in Cupertino, CA. Not required, but would be great is you also had: • Certifications in HR Experience with teams located in geographically split offices You will also receive Stock Options (ISOs) Taking care of you today * Continuing Education Opportunities * Flexible PTO * Medical, Dental and Vision plans with competitive employer contributions * Pre-Tax commuter benefits * $1500/year non profit donation matching program through Millie * Home Office Stipend Protecting your future for you and your family * 401K contribution match up to 4% * Company-paid parental leave • Company Paid Life Insurance Stock Option Loan Program Join our team and make a difference! Click below or email us at . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary As a Physical Design intern for Etched this fall, you will be responsible for realizing our front-end designs in silicon, helping Etched to improve iteration speed to final signoff. You will assist in developing and running Physical Design flows to synthesize blocks, automate final design checks, and advise RTL design decisions. You may be a good fit if you have * Progress towards a Bachelor’s, Master’s, or PhD degree in electrical engineering, computer engineering, or a related field. * Familiarity with high-speed digital logic * Exposure to ASIC or SoC design concepts * Familiarity with SystemVerilog, UVM, or Python * Familiarity with verification work and writing test benches * Familiarity with physical design flows and tooling * Are able to learn quickly about transformers and other aspects of modern artificial intelligence Strong candidates may also have experience with * Familiarity with transformer models and machine learning * Familiarity with numerical representations and functions (RTL) * Familiarity with clocking and reset schemes (RTL/PD) * UVM or formal verification experience (DV) * Ability to program with Python or another scripting language We encourage you to apply even if you do not believe you meet every single qualification. Program details * 12-week paid internship (August - December 2026) * Generous housing support for those relocating * Daily lunch and dinner in our office * Based at our office in San Jose, CA * Direct mentorship from industry leaders and world-class engineers * Opportunity to work on one of the most important problems of our time For any questions, contact How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

Job DescriptionAbout the Institute of Foundation ModelsWe 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 RoleAs a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.Key Responsibilites • Collaborate with Research teams to understand technologies, adapting and integrating them into codebase., • Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models., • 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., • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality., • Contribute to research papers and 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 these functional objectives.Academic Qualifications, • Minimum: Bachelor’s degree or equivalent practical experience., • 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision., • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting., • 2 years of experience with data structures or algorithms in either an academic or industry setting., • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams.Professional Experience - Preferred, • 2 years of experience with improving performance during large scale data processing, • Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).

Job Description About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary As an RTL Intern at Etched, you will help design microarchitecture and implement logic in verilog. You will work with cutting-edge machine learning architectures, contribute to RTL block development, and participate in the full design cycle—from microarchitecture discussions to synthesis and timing feedback. You do not necessarily need prior ML/AI hardware experience; just the ability to learn quickly in a fast-paced, high-autonomy environment. You may be a good fit if you have * Progress towards a Bachelor’s, Master’s, or PhD degree in electrical engineering, computer engineering, or a related field. * Familiarity with high-speed digital logic * Exposure to ASIC or SoC design concepts * Familiarity with SystemVerilog, UVM, or Python * Familiarity with verification work and writing test benches * Familiarity with physical design flows and tooling * Are able to learn quickly about transformers and other aspects of modern artificial intelligence Strong candidates may also have experience with * Familiarity with transformer models and machine learning * Familiarity with numerical representations and functions * Familiarity with clocking and reset schemes * Ability to program with Python or another scripting language We encourage you to apply even if you do not believe you meet every single qualification. Program details * 12-week paid internship (June - August 2026) * Generous housing support for those relocating * Daily lunch and dinner in our office * Based at our office in San Jose, CA * Direct mentorship from industry leaders and world-class engineers * Opportunity to work on one of the most important problems of our time For any questions, contact How we’re different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

Job DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters. Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together. High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company. Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters. Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work. Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs. ABOUT THE JOB We are looking for a Machine Learning Engineer to help build and develop our ML capabilities at RADAR. The role requires extensive collaboration with teams and functions across the company ranging from product and customer success to engineering, data science and research. This is a hybrid role based in our Sunnyvale, CA location with a flexible hybrid work schedule of 2-3 days in the office. Responsibilities: • Build and scale ML infrastructure: Design and maintain scalable, reliable and efficient production pipelines for feature engineering, training, prediction and model serving using tools including Airflow, Big Query and Kubeflow, • Drive model performance: Train, validate and deploy high-quality ML models, applying advanced techniques in feature selection, hyperparameter tuning and model architecture choices to improve the accuracy of our products, • Accelerate ML development: Optimize feature engineering pipelines for performance and scalability while collaborating with Data Science to research, develop, and deploy new features that improve model accuracy, • Ensure reliability: Implement comprehensive model monitoring, automated training pipelines, and observability solutions to maintain model health and performance, • Accelerate ML development: Optimize feature engineering pipelines for performance and scalability while collaborating with Data Science to research, develop, and deploy new features that improve model accuracy, • Champion best practices: Apply CI/CD principles including automated testing, model validation, and deployment strategiesABOUT YOURequired:, • 5+ years building production ML systems at scale, including feature engineering, training, deployment, and monitoring, • Strong proficiency in Python and ML frameworks (scikit-learn, PyTorch, XGBoost), • Hands-on experience with cloud ML platforms (AWS SageMaker, Vertex AI, or Azure ML), • Expertise in big data processing including SQL optimization and distributed computing (Spark/Dask), • Production experience with workflow orchestration tools (Airflow, Dagster, Prefect), • Proficiency with version control (Git) and CI/CD practicesPreferred:, • Experience with real-time streaming data (Kafka, Flink, Pub/Sub.), • Bachelor's degree in Computer Science, Statistics, or related field Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Job Description At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: SK HMS Systems engineering / Quality assurance group is looking for a motivated individual to join our reliability testing team. Job Description: SK Hynix Memory Solutions has a key design center in San Jose with focus on enterprise datacenter SSD development. The Reliability System Engineering team is seeking a talented and detail-oriented test engineer to join us and help ensure our products meet the highest standards of quality, performance, and reliability. As a test engineer, you will help design, develop, automate, and execute test plans to validate the functionality, endurance, and reliability of our enterprise data center SSD products. You will work closely with other functional development teams to identify, reproduce, and resolve defects during the development lifecycle. Your work will directly impact product quality and customer satisfaction. Internally, we are always looking to innovate and enhance our test coverage and automation capabilities, using various new technologies like generative AI. As a member of the team, you will also have opportunities to contribute to these investigative and development efforts to design and develop new automation platforms and test coverage systems. A successful candidate should be self-driven, innovative, able to communicate clearly, and must work well in a collaborative team environment. Responsibilities and Tasks • Develop and maintain test plans, test cases, and test reports based on product requirements and industry standards (e.g., JEDEC, OCP, NVMe, PCIe)., • Design, develop, and maintain automated test scripts and frameworks for SSD validation (using Python, Java, and C++)., • Execute functional, endurance, and stress tests on SSDs to maximize test coverage, • Partner with our NAND, FW, SoC, and other validation teams to work issues to swift and effective solutions, • Analyze test results, log defects, and track issues through resolution using JIRA., • Maintain and enhance existing automation frameworks and test coverage capabilities with modern innovative solutions, • Lead deep-dive root-cause analysis for complex, intermittent system-level failures, driving cross-functional tiger teams to identify architectural or firmware fixes., • Stay up to date with emerging SSD technologies, protocols, and industry test methodologies Required Qualifications • Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field., • 5+ years of hands-on experience in QA testing and test automation, specifically focusing on SSDs, enterprise storage devices, data servers, or embedded systems., • Demonstrated ability to independently drive end-to-end validation cycles from early firmware stages through mass production with minimal oversight., • Proficiency in scripting/programming languages: Python (preferred), Java, C/C++., • Demonstrated experience in root-cause analysis (RCA) for complex failure modes, • Excellent communication and collaboration skills. Preferred Qualifications • Experience with enterprise or data center SSDs., • Strong understanding of SSD architecture, NVMe/SATA protocols, and storage interfaces., • Familiarity with storage test methodology (such as RDT and design margin testing), • Understanding of reliability concepts such as life models, AFR and MTBF, • Experience working with volume SSD test system such as Flexstar, Neosem, Advantest, or UniTest equipment, • Advanced hands-on experience with hardware protocol analyzers (e.g., Teledyne LeCroy) for debugging PCIe/NVMe link-level and bus-state issues., • Knowledge of JEDEC, NVMe, OCP, or other storage industry standards, • Experience with statistics analysis applications such as JMP for data analysis, • Experience with utilizing reinforcement learning and generative AI for test development and data analysis, • Experience with joint qualification process for enterprise customers, • Previous track record working as a contractor or senior consultant, capable of rapidly onboarding and accelerating project delivery in a fast-paced environment.

Job Description Join Dribbler Soccer: Transform Your Passion for Soccer Into a Rewarding Career! Dribbler Soccer is a leading name in private soccer training across the United States. We’re expanding our team and looking for professional and experienced private soccer trainers to conduct lessons for players of all ages. As part of our team, you’ll travel to local parks, soccer fields, or directly to clients’ locations in your area. Work within your community and neighboring cities! Dribbler provides the clients, and you have the flexibility to set your own schedule. With the ability to choose your clients and receive payment within 24 hours post-lesson, Dribbler offers an unparalleled opportunity in the world of soccer training. About Dribbler Soccer Dribbler is a national private soccer training company serving clients in major cities across the U.S. Founded with the mission of redefining private soccer training, we take pride in delivering a personalized and professional approach that caters to players of all ages and skill levels. Our trainers don’t just teach—they inspire. With deep knowledge and a passion for soccer, they design training plans tailored to each player’s unique goals and playing style. From beginners to seasoned players, Dribbler is dedicated to helping individuals grow their skills and confidence on the field. We quickly connect players with the best personalized, professional, and effective soccer training in their area. Supported by our dedicated team, trainers enjoy a seamless, fulfilling experience while earning some of the highest wages in the industry. Trainer Responsibilities * Conduct private (1-on-1) and group soccer lessons. * Schedule lessons flexibly to suit your and the client’s availability. * Travel safely to and from clients’ preferred training locations. * Create custom lesson plans tailored to each player’s abilities and goals. * Assess players’ skills, track progress, and adapt lessons to fit their needs. * Provide the equipment needed to have a successful lesson. * Deliver a comprehensive, enjoyable, and engaging learning experience. * Ensure the safety of all players during training sessions. * Communicate effectively with parents, clients, or caregivers about player progress. What to Expect with Dribbler * Set Your Own Schedule: Work when it’s convenient for you. * Travel Locally: Decide your travel radius for client locations within your area. * Fast Payment: Payments issued within 24 hours post-lesson via PayPal or another method. * Choose Your Clients: Flexibility to accept or decline client offers. * Regular Client Opportunities: Receive multiple offers regularly based on your area and availability. * Direct Communication: Stay in touch with clients and the Dribbler support team for a smooth experience. * Quick Hiring Process: Start within 24-48 hours post-interview, depending on onboarding completion. * General Liability Insurance Coverage: Dribbler will add you to our general liability insurance policy at no cost to you. This ensures you’re protected while conducting lessons and reinforces our commitment to creating a secure and professional environment for both trainers and clients. Payment Details Payments are issued within 24 hours post-lesson. Detailed payment information will be shared during the application process. * 1 Hour Lessons: ($35-$50 Per Lesson) Required Job Specifications * Minimum of 2 years of professional experience coaching or training soccer players of any age. * Reliable transportation for traveling to training locations. * Complete and clear a criminal background check. * Strong communication skills to effectively engage with players and clients. * An energetic and engaging personality, especially when working with children and teens. * Confidence in working independently while delivering high-quality training. * Ability to provide your own soccer training equipment for lessons. Why Join Dribbler? Joining Dribbler means becoming part of a growing network of dedicated soccer professionals who are shaping the future of the sport. Apply now to start making a positive impact, develop players’ skills, and grow your career in a flexible and rewarding environment! Ready to Apply? Take the first step toward becoming a trainer with Dribbler Soccer by submitting your application today. Let’s work together to inspire the next generation of soccer players!

Job DescriptionAbout the Institute of Foundation ModelsWe 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 We are seeking a HR Operations Specialist to be the executional backbone of People Operations, including recruiting coordination, employee lifecycle management, and HR systems support. This role ensures that hiring, onboarding, and employee processes run smoothly, accurately, and at scale across the organization. Key Responsibilities • Employee Engagement & Culture: Lead internal engagement initiatives to foster a strong lab culture. Partner closely with the Office Operations team to plan and execute team events, offsites, and social activities., • Internal Cultural Logistics: Own the coordination of regular team lunches and internal morale-building programs., • HR Lifecycle & Time-Card Management: Manage time-card submissions for non-exempt employees, ensuring accuracy for payroll. Execute the end-to-end employee lifecycle including onboarding, orientation, and offboarding., • Compliance & HR Administration: Manage I-9 verifications, background checks, and audit-ready documentation. Serve as the first point of contact for daily employee HR inquiries., • Recruiting & ATS Support: Provide tactical support to the Recruiting Partner as needed. This includes assisting with overflow logistical tasks and basic documentation as directed., • Intern Program Management: Own the specialized HR processes for interns, including F-1/CPT/I-20 compliance and lifecycle tracking., • Process Improvement: Identify inefficiencies in HR workflows and support the standardization of templates and internal recordsRequirements 4–7 years experience in HR operations, recruiting coordination, or people operations * Strong experience with ATS platforms (Lever strongly preferred) * Hands-on experience with HRIS systems (ADP, Workday, or similar) * Experience supporting onboarding, offboarding, and employee lifecycle processes * Strong organizational skills in high-volume environments * Familiarity with US HR compliance basics (I-9, documentation, onboarding requirements) * High attention to detail and execution discipline * Strong communication and responsiveness * Bachelors Degree or higher in HR, or related field required Benefits IncludeGenerous paid time off, sick leave and holidaysEmployee Assistance Program*Life insurance and disability

Job DescriptionPlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. We’re looking for a machine learning engineer to train and deploy the latest generation of ML-based planning algorithms on the extensive data we collect every day across our autonomous trucking fleet. Responsibilities • Use complex map and perception sensor output to develop novel deep learning models for our planning stack., • Design critical safety checks to ensure driving trajectories are feasible and follow rules of road., • Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments., • Track and incorporate the latest multidisciplinary research advancements in a fast-moving field., • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts., • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.Required Skills, • BS, MS, or PhD in Software, Robotics, or related field, • 4+ years of machine learning engineering experience for robotics applications, • Experience developing high-quality software from design and implementation to testing and deployment., • Expertise with Python, willingness to do some C++ development as needed., • Experience training with modern frameworks (e.g. PyTorch), • A rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics., • Hands-on familiarity with cloud data ingestion pipelines

Computer Science Domains Covered Algorithms & Data Structures, Machine Learning & AI, Systems, Networks & Theory, Computer Security, Software Engineering, Miscellaneous Computer Science. Key Responsibilities - Author original computer science questions that test deep conceptual understanding, no

About Bristlecone: Bristlecone is the industry’s largest pure-play supply chain service provider. As the trusted partner for AI-first supply chain transformations, we specialize in empowering customers with tech-enabled solutions for planning, sourcing, and fulfillment. Through our consulting, platforms, and supply chain build and enablement expertise, we help Global 2000 organizations in the life sciences, retail, consumer goods, manufacturing, and high-tech industries drive visibility, resiliency, and efficiency across their supply chain. Guided by a consulting-led approach, we serve as strategic partners to customers throughout their supply chain transformation journey. With comprehensive advisory and implementation capabilities, we offer high-value consulting spanning domains, processes, and change management, ensuring tailored solutions that drive meaningful outcomes for each customer. Bristlecone is headquartered in San Jose, California, with locations across North America, Europe, and Asia. It is part of the Mahindra Group. Learn more at ___ Equal Opportunity Employer Bristlecone is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status Privacy Notice Declarations for California based candidates/Jobs:: We are currently seeking a highly motivated technology professional for the role of Semiconductor Sub-Vertical Leader. This is a critical role within Bristlecone, responsible for managing a portfolio of high growth accounts. This is a consultative sales role focused on account strategy, revenue growth, innovative solutioning and CSAT. Essential requirements and skills: -At least 12-15 years’ experience in advising customers on solutions to their business challenges, collaborating with the technology solutions team to identify right solutions/technology/services to clients in the Hi-tech industry (Fabs, Fabless and equipment manufacturers in Semiconductor preferable) Domain and technology skills: -Ability to understand business challenges, priorities and advise clients on the best fit solution and technologies. -Ability to understand hi-tech domain and be as a trusted advisor to clients. Have a strong understanding of the operational models to adopt for revenue acceleration and establish market dominance. -Deep understanding of supply chain process, tools and technologies, partner ecosystem, and agile methodologies -Adept at use of MS-Office productivity tools and Salesforce as a CRM and forecasting tool Sales/consulting/ soft skills: -Experience in managing clients in the hi-tech/semiconductor industry and successful at creating large deals focused on digital Supply Chain transformation -Proven track record of retaining, growing accounts (mining led growth) -Excellent interpersonal, written, and verbal communication skills with experience in C-Level interactions, reviews, negotiations and execution oversight -A solutions-focused, collaborative approach to work and ability to leverage various technology/capability teams -Highly proactive, creative, and innovative– able to contribute new ideas and support the wider team -Keen to learn and develop own skills, and to share learning with others Role Details: This is a proactive commercial role for sustained profitable growth of Bristlecone’s business with customers / clients. They are responsible to articulate, consult, sell, manage and expand Bristlecone’s business and relationship with the customer/client. Some of the responsibilities associated with this role are: -Understanding client’s Business and strategy -Analyzing client needs and developing subsequent plans of activity to meet the client’s needs. -Ability to map the business needs against technology/tools and create solutions by leveraging internal teams and drive closures. -Sales/conversion and onboarding – Ability to accurately forecast order and revenue and chart the account growth. -Overview of account delivery against objectives –customer satisfaction and retention Key Responsibilities & Accountabilities:

We are seeking a versatile and pragmatic Applied ML Engineer to contribute across a broad range of machine learning and perception tasks. This role requires someone comfortable wearing many hats—from working with computer vision and sensor fusion models to building lightweight inference pipelines, designing experiments, and fine-tuning model behavior in production. You’ll work closely with a cross-functional team spanning hardware, software, and product to deliver real-world AI solutions that are robust, efficient, and reliable under challenging field conditions. This is an ideal position for someone who thrives on variety, rapidly shifting problem domains, and turning rough ideas into deployed systems. Responsibilities: • Design, train, and evaluate models for tasks ranging from object detection and classification to anomaly detection and sensor-based inference., • Optimize model architectures and inference pipelines for performance on embedded/edge hardware under compute and bandwidth constraints., • Contribute to dataset development and labeling strategy, including data augmentation, synthetic data generation, and domain adaptation., • Support prototyping and experimentation across a variety of AI subfields, including computer vision, signal processing, and multi-modal fusion., • Implement real-time pipelines for processing sensor data on-device and in cloud environments., • Develop tools and scripts for benchmarking, data visualization, and debugging ML model performance., • Stay current with the latest research and tools in machine learning and evaluate their applicability to our product roadmap., • Participate in code reviews, team knowledge sharing, and internal technical documentation., • Must be eligible to obtain/maintain a security clearance. Qualifications: • Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field. Bachelors candidates considered on a case by case basis., • 4+ years of experience building and deploying machine learning models in production environments., • Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow., • Comfortable working with a range of data types (images, time-series, geospatial, RF, etc.)., • Experience with edge or embedded ML deployments, including model compression and hardware-aware optimization., • Familiarity with common ML practices including cross-validation, hyperparameter tuning, and model monitoring., • Excellent debugging, experimentation, and problem-solving skills., • Strong collaboration and communication skills with both technical and non-technical team members., • Bonus: experience in maritime, aerospace, or other remote sensing domains., • 4 - 10 years of experience in applied machine learning, building and deploying production models. Pay range and compensation package: Salary $190K - $250K, Equity Competitive equity, Visa sponsorship not available. Equal Opportunity Statement: Hybrid work policy, Hybrid in Arlington, VA or San Francisco, CA. Full-time position, Location Arlington, VA, Boston, MA, San Francisco Bay Area, CA, San Diego, CA, Los Angeles. Tech stack: Python, PyTorch, TensorFlow, Computer Vision, Signal Processing, Edge ML, Embedded Systems, World Models.

HCLTech is looking for a highly talented and self- motivated Principal AI Architect to join it in advancing the technological world through innovation and creativity Title: AI Architect Location Santa Clara (USA) As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference. You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, , Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce. Working at the highest levels, you will engage AI, Technology and Business leaders in the world’s most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives. This role requires a combination of deep hands-on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients Key Responsibilities What you’ll do Multi-Agent Architecture Patterns: Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases. Memory System Design: Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers. Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS). Cross-Cloud & Vendor Integration: Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock-in risks with integration benefits. GenAIOps & Observability: Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost. Safety, Security & Governance: Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows. Enterprise Integration & Scalability: Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance. Technical Leadership & Client Advisory: Combine technical architecture with strategic guidance. Lead C-level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership. Thought leadership and public speaking: Present at industry events and publish articles that advance the AI industry. Core Qualifications (The Bar) -Enterprise Experience: 8–10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture. -Cloud Expertise: Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other. -GenAI & LLM Depth: Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock). -RAG & Orchestration: Proven experience designing complex RAG pipelines. -Model Fine-tuning: Experience with instruction tuning or fine-tuning strategies for LLMs. -Leadership & Advisory Skills: Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance Desired Skills & Experience • Multi-Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents)., • Multi-Cloud Experience: hands-on architectural expertise across all three major clouds (Azure, AWS, GCP)., • GenAI Ops & Governance: Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. And AI FinOps & Model Routing, • Framework Expertise: Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)., • Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects. HCLTech offers a highly competitive compensation package for this role, commensurate with experience. This includes a base salary, performance-based bonus, and comprehensive benefits. A specific salary band will be discussed with qualified candidates during the initial screening process. Scope by Level Senior Architect: Own end-to-end architecture for 1–3 programs/accounts. Lead technical architecture reviews and decision-making on agentic design patterns. Mentor senior engineers and emerging Architects. Drive thought leadership through internal documentation and architecture governance. Represent HCLTech in client C-level conversations for assigned accounts. Principal Architect: Portfolio-level ownership across multiple clients and programs. Define enterprise strategy for agentic AI adoption—roadmaps, best practices, architectural standards, and governance frameworks. Influence global partner strategies (Microsoft, Google, AWS) and contribute to HCLTech’ s overall AI/Cloud roadmap. Represent HCLTech as a recognized industry leader through conference speaking, published research, and advisory board participation. Mentor other architects and shape hiring/capability building for the AI architecture practice. Soft Skills & Behavioural Competencies We are looking for professionals who combine deep technical expertise with strong interpersonal and leadership abilities. Specifically: • Clear, Multi-Level Communication, • Strategic Thinking & Advisory Mindset, • Cross-Functional & Cross-Vendor Collaboration, • Pragmatic Problem-Solving, • Ownership & Accountability, • Continuous Learning & Adaptability, • Customer Obsession & Trust-Building, • Leadership & Mentorship, • Change Agent Mindset Pay and Benefits Pay Range Minimum: Base $ 210000 Per Year Pay Range Maximum: Base $ 240000 Per Year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to fi

Eurofins EAG Laboratories has over 40 years' experience in engineering and materials testing services. Our parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services operating over 950 labs in 60 countries with 65,000 employees with a portfolio of over 200,000 validated analytical methods. At EAG, curiosity fuels everything we do. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable ofand what the world can build next. If you're energized by materials science, analytical chemistry, and engineering rigor, you'll feel right at home here. Our scientists and engineers support industries ranging from semiconductors and advanced electronics to pharmaceuticals, medical devices, energy systems, and consumer products. Using advanced techniques in analytical chemistry, microscopy, surface analysis, and engineering sciences, we help clients solve complex challenges across the product lifecycle. What sets EAG apart isn't just our world?class instrumentationit's our people. We're problem solvers, collaborators, and lifelong learners who value precision, curiosity, and impact. Here, your work directly influences the safety, reliability, and performance of products used around the globe. Imagine the possibilities. Let's explore them together. Are you ready to take the next step in your careerone that offers deeper client interaction, dynamic project management, and meaningful internal collaboration in a cutting-edge lab environment? Eurofins EAG Materials Science is seeking a Technical Specialist with a strong background in materials characterization to join our team. This is an exciting opportunity for someone looking to transition into a role that blends technical expertise with customer engagement and strategic problem-solving. Key Responsibilities: • Serve as the primary technical liaison for customized analytical projects., • Engage directly with clients to understand their needs and develop tailored analytical solutions., • Prepare detailed proposals and quotes, including statements of work., • Collaborate with internal teams to ensure seamless project execution., • Support the sales team by maintaining strong customer relationships and contributing to revenue growth., • B.S., M.S., or Ph.D. in Chemistry, Chemical Engineering, Materials Science, or a related field., • Materials Characterization experience in academic or industrial settings involving variety of materials, especially surface analysis., • Excellent written and verbal communication skills., • Proficient listener with strong analytical and judgment capabilities., • Comfortable working independently and collaboratively., • Highly organized, detail-oriented, and able to manage multiple priorities. Standout candidates combine deep polymer failure-analysis expertise with the ability to scope, lead, and communicate complex investigations directly with clients. • 5+ years polymer/materials characterization experience with a strong track record in failure analysis/root-cause investigations (building test plans, narrowing hypotheses, and translating findings into clear conclusions)., • Demonstrated ability to translate client needs into an executable lab scope (assumptions, deliverables, turnaround, and success criteria) and contribute to proposals/quotes/SOWs., • Advanced, applied expertise in FTIR + GCMS, and the ability to connect spectra/data to real-world material behavior across complex mixtures and unknowns., • Comfortable leading peer-to-peer technical conversations with clients on experimental design, data interpretation, and next-step recommendations. What It's Like to Work Here: Teamwork: be inspired by your leaders, be encouraged by your teammates, and be supported in all parts of your journey while you work with us. Learning & Development: take on career development programs and goal setting to create big possibilities for your career and life. Develop within the company; be mentored and grow as a leader. Diversity & Authenticity: we work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. Benefits & Perks to Foster Work/Life Balance: Medical, Dental and Vision Coverage 401k Company Matching Paid Time Off Wellness Program Education Assistance and more! Eurofins EAG Laboratories is an equal opportunity employer and prohibits discrimination, harassment, and retaliation in all of our employment practices.?Eurofins EAG Laboratories recruits, hires, trains, promotes and administers all employment-related matters?based on?an individual's qualifications,?abilities,?and efforts. ?Applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship status, sexual orientation, gender identity and/or expression, pregnancy, genetic information, disability, military and/or protected veteran status, and/or any other category protected by applicable federal, state, or local law. If you enjoy being immersed in science or engineering, tackling problems head-on, finding solutions through teamwork, and taking pride in accomplishments, join us today! Check out our other opportunities: Eurofins USA Material Sciences is a Disabled and Veteran Equal Employment Opportunity employer.

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. * A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. * Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. * Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. * You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. * You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs * Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) * 8+ years of experience designing mission-critical machine learning platforms * 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience leading GenAI or LLM-Powered application architectures in production * Deep understanding of Responsible AI, data privacy and multi-tenant security patterns * K8s mastery (multi-region clusters, service mesh) * Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website () . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Be part of an amazing story Macy's is more than just a store. We're a story. One that's captured the hearts and minds of America for more than 160 years. A story about innovations and traditions...about inspiring stores and irresistible products...about the excitement of the Macy's 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We've been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview As a Fine Jewelry Sales Colleague, you provide outstanding customer service in our Fine Jewelry and Watch Complex, creating shopping experiences that make every customer feel welcomed, comfortable, and valued. You bring elegance, expertise, and personalized service to every interaction, helping customers find the perfect piece to celebrate life's special moments. With a passion for fine craftsmanship and a deep understanding of precious metals, gemstones, and luxury brands, you continually demonstrate superior product knowledge to educate and assist customers in selecting items that suit their tastes, preferences, and budgets. You focus on building lasting client relationships through consultative selling, genuine hospitality, and active use of our clientele program. In addition to meeting sales goals other key responsibilities of the role include promoting our loyalty and warranty programs, support inventory and fulfillment activities, and supporting special events. You also will ensure the security, accuracy, and impeccable presentation of merchandise. You'll work closely with your team to achieve sales goals, support special events, and uphold operational excellence in all aspects of the Fine Jewelry department. How our Fine Jewelry Colleagues spend their day... Our colleagues begin each day energized and ready to make an impact. They wear their name badge with pride, greet teammates with a warm hello, and help ensure the sales floor is clean, organized, and prepared for customers. Before getting started, they review their sales goals, learn about new arrivals and top-selling items, and stay up to date on current trends and promotions - so they're fully informed and ready to engage, educate, and sell with confidence. On the floor, they focus on the customer - offering a warm welcome, making eye contact, and creating friendly, personal conversations to create customer relationships to bring the customers back. Throughout the day, they maintain a shoppable space by ensuring proper processing, presentation, organization, storing and replenishment of stock, updating signs and pricing, and supporting any needed merchandise moves. They always Finish Strong - sharing our Loyalty program benefits, making sure customers have all they need, and ending with a sincere thank-you, often walking the package around and using the customer's name. We believe service starts with each other - supporting one another with honesty, care, and collaboration so we can better serve our customers and communities. And we know that excellence is a journey - we strive to improve every day, take pride in our work, achieve sales goals and learn from each other to deliver individual and store results. Full-time colleagues are typically scheduled to work 30 or more hours per week, while part-time colleagues are typically scheduled 12-24 hours per week. All schedules contain weekend shifts as part of the requirements. Hours are dependent on business needs and colleague availability. Information regarding hours per week needed for benefit eligibility purposes can be found ___. Who You Are • Flexible availability, including days, evenings, weekends and holidays with regular, dependable attendance and punctuality, • Must be able to:, • Understand and communicate effectively with customers, co-workers, and supervisors, • Read and understand employment policies and safety rules/procedures in English, • Provide product recommendations, assisting with fittings and digital shopping tools, and creating a welcoming, knowledgeable, and supportive shopping experience., • Drive sales and operational excellence by leveraging product knowledge, participating in vendor training and events, using point-of-sale tools effectively, and ensuring accurate stock presentation, replenishment, and asset protection compliance, • Drive sales and client loyalty by maintaining an organized and shoppable space, leveraging clienteling tools to promote offers and product launches, participating in sales events, and staying up to date through ongoing training and vendor education., • In addition to sales goals, achieving Client and Protection plan goals, • Responsible for acquiring new customers by opening credit accounts and sharing loyalty benefits, • Meeting and surpassing daily sales goals by delivering exceptional service, • Effectively use point-of-sale technology and digital tools to streamline transactions and enhance the shopping experience, • This position requires talking, lifting, constant moving, standing, and reaching with arms and hands, • Standing for at least two consecutive hours, lifting at least 25lbs., stooping, kneeling, crouching, and climbing ladders, reaching, including above eye level, • Requires close vision, color vision, depth perception, and focus adjustment Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities. Some additional benefits we offer include: • Merchandise discounts, • Performance-based incentives, • Annual merit review About Us This is a great time to join Macy's! Whether you're helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people's lives. Join us and help write the next chapter in our story - Apply Today! This job description is not all-inclusive and may not apply to colleagues covered by a collective bargaining agreement. Macy's Inc. reserves the right to amend this job description at any time. Macy's Inc. is an Equal Opportunity Employer, committed to an inclusive work environment. STORES00

Role Summary We are looking for a Senior UX Designer with deep poker knowledge to help reinvent how recreational players learn poker through AI-driven coaching and gameplay-first experiences. UX Strategy & Product Thinking Define UX principles for recreational poker players (learning pace, feedback

Title: Deep Learning Computer Vision Engineer Job Type: Contract Contract Length: 12 Months Pay Range: $50/hr – $175/hr Start Date: ASAP Location: Remote About The Opportunity Our client, a leader in AI testing and development, is looking for a skilled Deep Learning Computer Vision Engineer

A leading AI development firm is seeking a Deep Learning Computer Vision Engineer for a remote 12-month contract. The role involves designing and optimizing computer vision models for object detection and classification, along with managing large datasets. Ideal candidates should have over 4 years o

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the inference systems software stack! We build innovative AI systems software to accelerate for AI inference. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture. This means designing and building things like new abstractions, efficient attention kernel implementations, new LLM inference runtimes components, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads. What you'll be doing: * Innovating and developing new AI systems technologies for efficient inference * Designing, implementing, and optimizing kernels for high impact AI workloads * Designing and implementing extensible abstractions for LLM serving engines * Building efficient just-in-time domain specific compilers and runtimes * Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams * Contributing to open source communities like FlashInfer, vLLM, and SGLang What we need to see: * Masters degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD are preferred * 6+ years (academic/ industry) experience with ML/DL systems development preferable * Strong experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC. * Strong Python and C/C++ programming skills Ways to stand out from the crowd: * Background in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention) * Expertise in inference engines like vLLM and SGLang * Expertise in machine learning compilers (e.g. Apache TVM, MLIR) * Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar) * Open source project ownership or contributions Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits () . Applications for this job will be accepted at least until April 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Software Engineer This is a hybrid position requiring employees to work onsite at Cisco's San Jose office at least 2–3 days per week. Meet The Team The Infrastructure Engineering (IE) group is at the forefront of building the software platforms that power some of the largest networks in the world. The networking industry is undergoing a major transformation as next-generation infrastructure is developed to support rapidly growing AI/ML workloads and the ever-increasing number of internet users, applications, and services. Our team plays a key role in this evolution by designing innovative systems that combine distributed software architectures with advanced silicon capabilities. We leverage open-source technologies and modern development frameworks to build scalable platforms that push the boundaries of networking systems and silicon architecture. You will work alongside engineers who are passionate about solving complex technical challenges and building large-scale distributed systems. The team operates in a fast-paced, collaborative environment where engineers take ownership across the full product lifecycle — from development and testing through production support. Your Impact Join the Infrastructure Engineering team as a Software Engineer and help redefine how networking problems are solved. You will develop innovative software for next-generation networking platforms and create AI-powered systems that can reason about, troubleshoot, and resolve complex infrastructure challenges. This is an opportunity to work at the intersection of software engineering, networking, and AI/ML to deliver transformative tools for large-scale systems. • Design, develop, and test software for high-impact networking platforms and distributed systems, • Collaborate with system architects and engineering teams to design scalable solutions that meet product requirements, • Build systems and applications using modern development practices and open-source technologies, • Contribute to the development and maintenance of complex software projects with an automation-first mindset, • Troubleshoot, debug, and optimize distributed systems to improve performance and reliability, • Support production environments and participate in resolving real-world operational challenges, • Bachelor's degree with 5+ years of relevant experience or master's degree with 3+ years of relevant experience in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical discipline (or equivalent experience), with experience developing software for distributed systems or large-scale software platforms, • Experience in Python programming, with additional development experience in C, C++, or Golang, • Foundational AI concepts and machine learning algorithms experience, • Experience working with Linux systems, networking fundamentals, operating system concepts and container-based applications., • Hands-on experience troubleshooting networking issues in production environments (e.g., connectivity, latency, DNS, routing issues), • Understanding of networking fundamentals including TCP/IP, DNS, DHCP, BGP, routing protocols, and switching, • Practical experience with networking concepts such as VLANs, TCP/IP, DNS, DHCP, and basic routing (beyond academic knowledge), • Experience using networking troubleshooting tools such as ping, traceroute, tcpdump, or Wireshark, • Internship or professional experience in networking systems or AI/ML application development workflows, • Cisco certifications such as CCNA or CCNP, • Experience with databases or UI/UX technologies for building web-based applications, • Experience working with deep learning frameworks such as PyTorch, TensorFlow, or Keras, • Knowledge of statistical modeling, probabilistic models, and statistical analysis, • Experience using data analysis tools such as Pandas, NumPy, and SciPy, • Familiarity with development tools such as Git and JIRA

Company Description Spira AI builds autonomous AI Influencers that manage social media accounts comprehensively, working around the clock to capture trends, create content, and publish on various platforms. These aren't just tools or assistants; they're designed to operate as independent virtual employees. Spira is powered by a team of experts with backgrounds at companies such as Creatify AI, TikTok, CapCut, Meta, Snapchat, and MidJourney, bringing deep expertise in AI, social media, and content creation to the forefront. Role Description As a Product Design Intern at Spira AI, you will collaborate with cross-functional teams to design and refine product interfaces and user experiences. Your primary responsibilities will include conducting user research, applying design thinking methodologies, creating detailed prototypes, and refining visual designs for both digital and mobile platforms. This is an on-site position based in the San Francisco Bay Area, offering an immersive learning experience working alongside industry professionals. Qualifications • Visual Design & Aesthetics – Proficient in creating appealing, functional, and user-centered interfaces., • Vibe Coding – Familiar with vibe coding; capable of building simple, working prototypes prior to high-fidelity design to accelerate iteration., • Design Thinking – Strong understanding and application of Design Thinking throughout the product development lifecycle., • User Research – Experienced in conducting user research and translating insights into design decisions., • Product Design & Prototyping – Skilled in product design and building effective prototypes that solve real user problems., • Startup Mindset – Proven experience working in small-team startup environments. Seeks speed, autonomy, and impact over rigid, big-company processes., • Education – Bachelor’s degree in Design, Human-Computer Interaction, or a related field is preferred.

Our Mission At Palo Alto Networks®, we're united by a shared mission-to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you're ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you're in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Impact Key Responsibilities * Design, build, and operate production machine learning systems that balance model quality, cost, latency, and reliability in a security-sensitive environment. * Own the end-to-end lifecycle of ML and LLM components, from problem formulation and model development to production deployment, monitoring, and iterative improvement. * Integrate ML and LLM-based services with backend systems and data pipelines, ensuring scalability, observability, and safe operation in production. * Develop and maintain automated training, evaluation, and retraining pipelines, and build data analysis tools to continuously improve model performance as data and threats evolve. * Partner closely with Product Managers and domain experts to translate product and security requirements into robust ML solutions with clear success metrics. * Collaborate with software engineers and SREs on release planning, deployment strategies, monitoring, and incident response to ensure reliable and predictable production behavior. Qualifications Required Qualifications * MS or Ph.D. in Computer Science or a related field, with a focus on Machine Learning, and 8+ years of industry experience delivering ML systems in production environments. * Strong problem solver and collaborative team player with clear communication skills, able to work effectively across engineering, product, and SRE teams. * Solid foundation in Machine Learning, Deep Learning, and NLP, with hands-on experience using modern architectures such as transformer-based models and representation learning techniques. * Practical experience applying Large Language Models (LLMs) to real-world problems, including text understanding, classification, extraction, summarization, or reasoning over large-scale and noisy data. * Experience designing, implementing, and operating LLM-powered components in production, including prompt design, model adaptation or fine-tuning, evaluation, and cost/performance optimization. * Experience with MLOps / AIOps practices for operating ML and LLM systems in production, including model lifecycle management, monitoring, logging, alerting, retraining workflows, and debugging production issues. * Understanding of model quality, robustness, and safety considerations, including evaluation methodologies, failure modes, and guardrails required for production ML systems in security-sensitive environments. * Strong experience with ML frameworks, libraries, and tooling (e.g., PyTorch, Tensorflow, Keras, Scikit-learn, Kubeflow), and solid software engineering fundamentals. * Ability to independently own ML features end-to-end, from problem formulation and system design to implementation, deployment, and iterative improvement in production. * Proficient in Python, working knowledge of Java, Linux, and shell scripting. * Experience building and operating services on cloud platforms (GCP and/or AWS) and in containerized environments (Docker, Kubernetes). Preferred Qualifications * Familiarity with AI agent-based approaches, such as multi-step inference pipelines, tool-augmented LLM workflows, or systems that combine models, heuristics, and external signals to drive reliable decisions. * Experience with website content understanding, website classifications, security, or large-scale internet data is a strong plus. * Familiarity with relational and NoSQL data stores such as MySQL, MongoDB, or similar systems. * Experience applying LLMs and agentic systems in security-sensitive or high-precision domains is a strong plus. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here () . $157,200.00 - $254,100.00/yr Our Commitment We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes

About Bristlecone: Bristlecone is the industry’s largest pure-play supply chain service provider. As the trusted partner for AI-first supply chain transformations, we specialize in empowering customers with tech-enabled solutions for planning, sourcing, and fulfillment. Through our consulting, platforms, and supply chain build and enablement expertise, we help Global 2000 organizations in the life sciences, retail, consumer goods, manufacturing, and high-tech industries drive visibility, resiliency, and efficiency across their supply chain. Guided by a consulting-led approach, we serve as strategic partners to customers throughout their supply chain transformation journey. With comprehensive advisory and implementation capabilities, we offer high-value consulting spanning domains, processes, and change management, ensuring tailored solutions that drive meaningful outcomes for each customer. Bristlecone is headquartered in San Jose, California, with locations across North America, Europe, and Asia. It is part of the Mahindra Group. Learn more at ___ Equal Opportunity Employer Bristlecone is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status Privacy Notice Declarations for California based candidates/Jobs:: We are currently seeking a highly motivated technology professional for the role of Semiconductor Sub-Vertical Leader. This is a critical role within Bristlecone, responsible for managing a portfolio of high growth accounts. This is a consultative sales role focused on account strategy, revenue growth, innovative solutioning and CSAT. Essential requirements and skills: -At least 12-15 years’ experience in advising customers on solutions to their business challenges, collaborating with the technology solutions team to identify right solutions/technology/services to clients in the Hi-tech industry (Fabs, Fabless and equipment manufacturers in Semiconductor preferable) Domain and technology skills: -Ability to understand business challenges, priorities and advise clients on the best fit solution and technologies. -Ability to understand hi-tech domain and be as a trusted advisor to clients. Have a strong understanding of the operational models to adopt for revenue acceleration and establish market dominance. -Deep understanding of supply chain process, tools and technologies, partner ecosystem, and agile methodologies -Adept at use of MS-Office productivity tools and Salesforce as a CRM and forecasting tool Sales/consulting/ soft skills: -Experience in managing clients in the hi-tech/semiconductor industry and successful at creating large deals focused on digital Supply Chain transformation -Proven track record of retaining, growing accounts (mining led growth) -Excellent interpersonal, written, and verbal communication skills with experience in C-Level interactions, reviews, negotiations and execution oversight -A solutions-focused, collaborative approach to work and ability to leverage various technology/capability teams -Highly proactive, creative, and innovative– able to contribute new ideas and support the wider team -Keen to learn and develop own skills, and to share learning with others Role Details: This is a proactive commercial role for sustained profitable growth of Bristlecone’s business with customers / clients. They are responsible to articulate, consult, sell, manage and expand Bristlecone’s business and relationship with the customer/client. Some of the responsibilities associated with this role are: -Understanding client’s Business and strategy -Analyzing client needs and developing subsequent plans of activity to meet the client’s needs. -Ability to map the business needs against technology/tools and create solutions by leveraging internal teams and drive closures. -Sales/conversion and onboarding – Ability to accurately forecast order and revenue and chart the account growth. -Overview of account delivery against objectives –customer satisfaction and retention Key Responsibilities & Accountabilities:

Applied Machine Learning Research Engineer - Multimodal for Human Understanding We're starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Applied Machine Learning Research Engineer to join our team in the Video Computer Vision group and help us push the boundaries of human understanding. The Video Computer Vision org has pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life. In this role, you will drive ground breaking development at the intersection of AI, generative modeling, and computer vision. You will work across the full lifecycle—from foundational investigation to practical applications—designing, implementing, and evaluating novel algorithms and models. Your primary focus will be human understanding, including human motion, activities, and representation learning. A major aspect of the role involves designing, implementing, evaluating and productizing ML systems capable of human and activity understanding. This position offers a unique opportunity to innovate, build, and ship: you will take your conceptual ideas to products that reach millions of users worldwide. You will collaborate with a diverse group of experts—research scientists, ML engineers, software engineers, data scientists, human-interface designers, and domain specialists—working in an environment that values experimentation, ownership, and continuous learning. By staying at the forefront of advancements in AI, machine learning, and computer vision, you will play a direct role in driving innovation, influencing the evolution of Apple products, and meaningfully enhancing user experience on a global scale. Minimum Qualifications • Strong experience developing machine learning models., • Proficiency in Python and solid software engineering fundamentals., • Experience with at least one deep learning framework (e.g., PyTorch, JAX, or equivalent)., • Hands-on experience training and deploying production-grade ML models., • Experience developing multimodal LLMs or generative models., • Production-level experience with a compiled language (e.g., Swift, C++)., • Expertise in one or more areas: computer vision, machine learning, multimodal LLMs, Reinforcement Learning, Agentic AI., • PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, machine learning, or multimodal systems.

Collaboration AI is the team responsible for building ML-based intelligent experiences within Cisco's Webex portfolio of enterprise collaboration and customer engagement platforms. The team is made up of four AI acquisitions and includes technology such as Automatic speech recognition (ASR) from Voicea, Audio quality enhancement from BabbleLabs, natural language processing (NLP) and computer vision (CV) from MindMeld, employee network graphs and personal profiles from Accompany, and much more. This role is mainly focused on Speech AI as it pertains to automatic speech recognition (ASR), text to speech (TTS) and other technologies. Speech AI is core to the wide range of products within Webex including Meetings, Contact Center, Calling and others. Every day, we work tirelessly as a cross functional team of engineers, product managers, data scientists, linguists, and others to build the best-in-class technologies in Speech AI. Our goal is to enable a more productive and inclusive meeting experience leveraging AI/ML to empower people to engage and innovate -- anywhere, on any device. Who You'll Work With As a Product Manager in the Collaboration AI group, you'll join a high-caliber team of machine learning specialists, large scale systems experts, NLP, ASR and computer vision experts, product gurus, customer champions, and world-class designers who are passionate about the future brought by AI. We move fast, continuously improve, and deliver high-impact results. We're highly collaborative, committed to building great things, and consider it a privilege to learn from each other every day. Who You Are • Drive design, development and launch of features in our AI/ML product strategy and roadmap ensuring prioritization based on market trends, customer feedback, and business goals., • Collaborate cross-functionally with engineers, data scientists, and other stakeholders to define, design, and deliver AI/ML powered solutions specifically focusing on Speech AI and automatic speech recognition., • Define and translate product requirements into detailed technical specifications and user stories, ensuring alignment with business objectives., • Lead the full product lifecycle - from conception, design, and development, through to launch and ongoing performance tracking., • Maintain a deep understanding of the competitive landscape and emerging technologies, contributing to strategic decisions., • Manage and mitigate project risks, ensuring timely delivery of AI/ML features and applications., • Facilitate effective decision-making throughout the project lifecycle, balancing technology constraints, business needs, and user experience., • Define sprint planning and prioritization in alignment with product strategy/roadmap and track ENG workstreams in Jira., • Craft project status reporting and deliver executive briefings to update program stakeholders., • 5+ years of product management experience., • 3+ years of experience in AI/ML domain., • 3+ years of experience in program/project management, • Bachelors or Masters degree in computer science, Engineering, or a related technical discipline., • 3+ years of strong analytical and quantitative skills, ability to use data and metrics to back up assumptions and evaluate outcomes., • Excellent interpersonal skills, with the ability to communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization., • Demonstrated ability to understand and discuss technical concepts, manage trade-offs, and evaluate opportunistic new ideas with internal and external partners., • Strong attention to detail and exceptional documentation skills, • Proven leadership capabilities and program management skills, including managing multiple projects and resources concurrently., • Experience in voice, IVR or voicebot technologies and capabilities., • Solid understanding of Generative AI, Machine Learning, and Natural Language Processing. If you are a highly driven Product Manager who thrives on innovation and working with a high-energy, collaborative team, we invite you to apply. Your passion for creating top-quality, customer-focused solutions will be welcomed in our dynamic, creative environment. We are eager to see how your skills and expertise can push us to the next level. Why Cisco? #WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data travelling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and size to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos? Show off your ink. Like polka dots? That's cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco #ProjectAI

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your role and responsibilities We're looking for Mid-Level Engineers with a deep backend focus to join our team. In this role, you can expect to: * Design, prototype and implement features and tools while ensuring stability and usability. * Collaborate closely with Product Design and Product Management partners, as well as engineers on your team and others. * Follow through on assigned tasks to build and ship medium-sized features, managing task expectations as needed. * Engage in team discussions around diagnosis, planning, and workflow improvements based on product requirements. * Apply independent judgment within team practices to determine appropriate actions and solutions. * Address unforeseen challenges, making recommendations to keep tasks on track. * Debug and resolve medium-level bugs in products or solutions to maintain quality. * Review technical contributions for quality and consistency, collaborating with stakeholders to resolve issues and recommend technical or architectural changes. * Suggest improvements to current processes and propose solutions to enhance the efficiency of architectural components and design. * Participate in on-call rotations, pairing, and team planning to support product needs. * Engage in team discussions around diagnosis, planning, and workflow improvements based on product requirements. Required technical and professional expertise * You have experience as an engineer working in Golang. * You have professional experience developing with modern programming languages and frameworks. * You have experience working with distributed systems, particularly cloud providers such as AWS, Azure, or GCP, with a focus on scalability, resilience, and security. * Experience in reviewing & refactoring code & making suggestions that improve the codebase and product. * Writing tests that cover complex and edge cases. * Demonstrated ability to build trust and foster relationships across teams and stakeholders, with a focus on valuing diverse perspectives and proficiently managing expectations. * Cloud-native mindset and solid understanding of DevOps principles in a cloud environment. * Proven decision-making abilities with an intentional, data-driven approach to solving complex technical challenges and delivering results. * Strong customer focus and systems-thinking mindset, with a commitment to personal accountability, self-awareness, and continuous improvement in support of high-quality outcomes. Preferred technical and professional experience * You have experience using HashiCorp products (Terraform, Packer, Waypoint, Nomad, Vault, Boundary, Consul). * You have prior experience working in cloud platform engineering teams. * Emerging experience in mentoring team members, helping to enhance their problem-solving, critical thinking, and planning skills. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Staff Product Manager, Insights CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. The Insights team at CoreWeave is responsible for helping customers understand what's happening inside their CoreWeave cloud environments clearly, proactively, and at scale. We build intelligent observability experiences that surface high-value signals across performance, reliability, and cost, enabling customers to operate complex GPU-powered systems with confidence. This team sits at the intersection of infrastructure, observability, and UX, partnering closely with Engineering and Design to turn raw telemetry into actionable insight. As a Staff Product Manager for Insights, you will own the strategy and execution of Insights experiences within CoreWeave's observability portfolio. Your day-to-day work will focus on defining how customers discover, understand, and act on signals across their AI workloads, through dashboards, alerts, and AI-powered insights. You'll lead high-impact problem areas such as cost optimization and workload efficiency, shaping how insights are proactively surfaced rather than manually discovered. This role requires deep technical understanding, strong product judgment, and the ability to operate across multiple engineering teams in a complex, data-rich environment. In this role, you will: • Own the Insights product area, defining vision, roadmap, and success metrics across observability experiences., • Drive AI-powered insights and alerting, including Grafana-based experiences that surface high-signal, low-noise information to customers., • Translate raw telemetry (metrics, logs, events) into curated, actionable insights that help customers understand performance, reliability, and cost drivers in their AI workloads., • Partner with Engineering and Design to ship proactive insights, including natural-language and automated analysis where appropriate., • Go deep on priority domains such as cost optimization, identifying what signals matter most and how they should be presented to drive action., • Strong familiarity with observability systems, particularly tools such as Grafana., • Hands-on experience with PromQL and LogQL, and a solid understanding of metrics and log-based analysis., • Experience building or product-managing AI-powered insights, including natural-language or automated signal discovery., • Strong understanding of cloud infrastructure and customer concerns related to monitoring, performance, reliability, and workload optimization., • Proven experience translating complex technical data into customer-facing product experiences., • You love solving hard customer problems using data and systems thinking., • You're deeply curious about how customers operate AI workloads day-to-day and how tools can better fit their workflows. At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance: This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: * Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. * Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack * Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available * Triage and root-cause performance issues reported by our customers * Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information * Collaborate with a very dynamic team across multiple time zones What we need to see: * M.S. (or equivalent experience) or PhD in Computer Science, or related field with relevant performance engineering and HPC experience * 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) * Experience conducting performance benchmarking and triage on large scale HPC clusters * Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals) * Implement micro-benchmarks in C/C++, read and modify the code base when required * Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python * Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker) * Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones Ways to stand out from the crowd: * Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control * Experience debugging network issues in large scale deployments * Familiarity with CUDA programming and/or GPUs * Experience with Deep Learning Frameworks such PyTorch, TensorFlow Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits () . Applications for this job will be accepted at least until May 7, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. Meet our product managers! Product managers help drive innovation, bridge communication between engineers and customers, and guide product strategy to bring successful solutions to market. Hear firsthand what brought some of our product managers to Applied Intuition and what's unique about their roles. About the role Applied is looking for a Product Manager who is passionate about building products in the Autonomous Vehicle industry. This is an important role where you will own a product end-to-end and will drive both the product strategy and execution. At Applied Intuition, you will: • Define platform products based on deep understanding of the markets, anticipate customer use cases, and time to market, • Develop differentiated value proposition in the market, focused on customers, • Collaborate closely with engineering to implement the product, helping them to focus on impactful deliverables, through effective prioritization and exceeding customer expectations, • Manage complete product lifecycle from discovery to delivery, realizing business outcome of the product, • Collaborate with business development team and marketing to define the customer pitches, engagement models, go-to-market positioning & strategy and pricing model through the sales process, • Regularly interact with customers to gather feedback and ensure that it is incorporated in the product We're looking for someone who has:, • 5+ years experience in Product Management position in a top tech company or high growth startup, • Experience in successfully launching products, preferably involving both software and hardware, • Strong technical background with understanding and/or hands-on experience in software development, • MS/BS degree in Computer Science, Engineering or equivalent required, • Ability to manage all aspects of a successful product throughout its lifecycle, • Ambitious personality with a drive to execute and win, • Excellent written and verbal communication skills Nice to have:, • Master's degree from a top program to develop the foundation of strong technical knowledge for product management, • Previous founder who can grasp quickly when there is a product market fit, • Exposure to hypergrowth at a startup from Series A to IPO, • Prior experience in developing products for automotive applications Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $252,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

NVIDIA’s platforms have already made a significant impact in the AI and Software-Defined Networking fields which are broadly used across leading academic institutions, start-ups, and industries, including the world’s largest Internet companies, Cloud Service Providers (CSPs) and AI Factories. Our success has been based on laser-focus defining the top-notch networking technologies, industry vertical business development, building a strong developer ecosystem and scaling out the business using partner channels and creative marketing. We need passionate, hard-working learners and problem solvers to help us pursue more of these rare opportunities. This customer-facing engineering role is for an expert in AI networking systems who will provide leadership to our customers who believe that deep learning, data science, networking, and generative artificial intelligence are a new computing revolution and have the potential to transform the industry. We are looking for an extraordinary Software Engineer focused on Networking and AI factory challenges. Your primary responsibilities will be customer engineering engagements for NVIDIA Networking products for systems deployed in the AI factories. You will be working multi-functionally with multiple internal organizations as well as ensuring a positive collaboration with external customers. You should be comfortable working in a dynamic environment and have experience working with embedded systems. You will use your people skills and your technical knowledge to provide design-in support for our networking and AI products in customer systems. Excellent interpersonal skills and the ability to work independently are essential. Experience with networking, DPDK, or DOCA is a plus, as well as the ability to pick up new technologies and skills. What you’ll be doing: * Establish yourself as a technical expert in embedded networking products, mainly BlueField and ConnectX product lines, directly supporting sales account and program managers, working closely with the team to secure design wins * Demonstrate self-sufficiency by proactively identifying solutions, independently mastering new technologies, leveraging AI-powered tools to accelerate your development and productivity, and driving projects with minimal supervision * Engage with strategic customers and partners to train, design, build, and productize solutions based on our networking products * Identify customer architectures and key product and production requirements with regard to AI networking at hyperscale, software-defined networking, and the latest GPU hardware * Represent the group in cross-org/leadership and customer technical discussions What we need to see: * A Bachelor’s, Master’s, or PhD in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related science degree (or equivalent experience) * 5+ overall years in a similar or related role * Thrives in a fast-paced environment while maintaining commitment to customer success * Knowledge of networking protocols, especially RoCE, Infiniband, and the common L1 to L4 protocols * Background in high-performance networking and low-level programming, with strong proficiency in C * Strong analytical and problem-solving skills * Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into sophisticated projects * Self-motivated to independently acquire new skills and knowledge * Willingness to use AI tools and emerging technologies to enhance engineering tasks and problem-solving Ways to stand out from the crowd: * Proved record working with customers and developing strategic solutions * Embedded, Networking, DPDK, NCCL, or DOCA development experience * Hands-on experience in Remote Direct Memory Access (RDMA), AI workloads, NCCL, CUDA, Congestion Control, and performance tuning * Demonstrated drive for innovation and self-learning, such as independently mastering new technologies, leading projects from concept to delivery, participating in product hackathons, rapid prototyping, or contributing to patents and intellectual property NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and versatile people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits () . Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures. What you will be doing: * Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs * Design and develop new compiler passes and optimizations required to meet the high performance and low compilation time requirements of the compiler * Work with global compiler, hardware and application teams to oversee improvements and problem resolutions * Apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools * Get a chance to influence and work on new GPU architectures What we need to see: * B.S. or higher degree in Computer Science/Engineering or equivalent experience * 4+ years of compiler development experience including 3+ years of experience in LLVM with a focus in code generation * Expertise in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR) * Proficient in compiler design and in performance analysis tools * Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks * Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems * Good communication and documentation skills and self-motivated Ways to stand out from the crowd: * Masters or PhD preferred, with 5+ years of relevant experience * Experience developing compiler optimizations and code generation for GPUs * Experience in developing CUDA, DirectX, OpenGL/Vulkan applications * You should have strong interpersonal skills and be capable of leading and influencing others in the department With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits () . Applications for this job will be accepted at least until March 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for: We are seeking a Director - Analytics to join our team. You bring a deep understanding of the pharmaceutical industry, along with detailed expertise in datasets such as LAAD, DDD, XPO, and more. You thrive on working with complex data sets to help clients solve real-world challenges, drive business performance, manage risks, and develop practical strategies through data-driven insights. What you’ll do: • Own end-to-end delivery across multiple workstreams while fostering strong relationships with client leadership and acting as a strategic advisor., • Design and implement advanced analytics and business intelligence tools (e.g., Tableau, SAS, R, Alteryx) to support data-driven decision-making in the healthcare and pharma sectors., • Leverage emerging technologies and pharma data expertise to solve complex business problems, model data structures, and continuously optimize analytical solutions., • Guide and mentor team leads, promoting best practices in analytics, quality delivery, automation, and client communication., • Proactively identify and develop new business opportunities and internal offerings to support organizational growth beyond client projects. Must have: • 10+ years of relevant experience in healthcare/pharma consulting, with at least 8+ years focused on the U.S. market., • Proven ability to manage multiple concurrent projects for various stakeholders with a focus on quality., • Strong educational background in engineering (Bachelor’s or Master’s) with excellent academic performance., • Excellent communication skills—strong verbal, written, and collaboration abilities to articulate results and issues to senior leadership and client teams., • Creative and analytical problem-solving skills with the ability to work independently with minimal direction., • Experience in key areas of sales, commercial, and marketing operations, including expertise in Salesforce Sizing, Marketing Mix, IC & Call Plan design, Go-to-market strategy, Segmentation, etc., is preferred.

NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior engineer to design and build factory infrastructure and automation for NVIDIA Inference Microservices (NIMs). The right person for this role brings technical drive and creativity to change the way NVIDIA optimizes and serves performant inferencing for every AI model in a heterogeneous cluster environments. Our NIM offerings are easy to use, highly performant and tested in all deployment scenarios, in the cloud, on customer’s self-hosted infrastructure and locally on all NVIDIA GPUs. You will apply your deep technical expertise to design an efficient, scalable and reliable automation factory infrastructure that will take AI models to become NIMs that are validated for best in class performance and accuracy. NVIDIA is building a new category of products, by intersecting our prowess in deep learning and computing, with industry-leading technologies. You will harness groundbreaking technologies, and build a highly efficient factory to power how NVIDIA builds and validates NIMs for inferencing all the way through deployment in heterogeneous hardware and software environments. You will influence and drive technical advances in NVIDIAs workflows and build the infrastructure that strives to accelerate the delivery of every AI model on NVIDIA's GPUs anywhere. We are looking for technical talent to design and build our factory capabilities, including the underlying infrastructure, pipelines, backends, Docker build, test harness, metrics, performance engineering, log ingestion, and more. What you'll be doing: * Develop a factory pipeline that will take an AI model in and produce a deployable service that is validated across Cloud, On-prem and Kubernetes environments. With the team, define and deliver rapid iterations on the group's technical strategies and roadmaps to deliver and improve the NIM factory. You will be designing interfaces, data modeling and schema design, and expanding observability over the factory pipeline and its compute infrastructure. * Work with technical leaders designing and developing scalable and reliable factory components. You will collaborate with multiple AI model teams to understand their requirements to build an efficient infrastructure that improves every teams' productivity. * Define metrics and drive improvements based on user feedback. You will mentor and collaborate throughout the team and with other teams to grow your colleagues and yourself. You will have a history of learning and growing your skills and those around you. What we need to see: * A history of using your advanced programming skills to build distributed and compute systems, backend services, microservices and cloud technologies. * Effective experience working with multi-functional teams, principals and architects, across organizational boundaries. * Mentorship, growing teams and team members, and the flexibility to ability to adjust your direction and expectations given the needs of our customers. * Deep technical expertise in distributed containerize applications using technologies such as Docker, K8s, Cloud Endpoints, Helm, and Prometheus. * Passion for building rich, microservice applications build and test automation pipeline. * Excellent interpersonal skills and the ability to lead multi-functional efforts * Proven experience debugging and analyzing the performance of distributed microservices or cloud systems. * BS or MS in Computer Science, Computer Engineering or related field (or equivalent experience) * 8+ years of shown experience developing performant microservice, cloud software and/or tooling roles Ways to stand out from the crowd: * Experience delivering event-driven applications using various services such as Temporal, Kafka, Redis or others and a demonstrable ability to discuss the pros and cons of these choices. * A history of building and deploying containers for Microservices, Cloud and On-prem deployments, and their associated CI/CD pipelines * Prior experience in working with large scale full stack development We are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and creative people in the world working for us. If you're creative and autonomous with a real passion for technology we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits () . Applications for this job will be accepted at least until April 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. We are looking for a Product Manager to drive critical work across our Apache Spark engine, spanning Spark SQL, Structured Streaming, the Catalyst optimizer, and lakehouse integrations. This role requires someone who understands the engine well enough to drive real improvements, not just prioritize tickets. You will work with Spark platform engineers, data engineering, and ML infrastructure teams. Diagnosing slow stages and reading query plans is expected. Your role and responsibilities As a Technical Product Manager, you will drive product strategy, leveraging your deep domain expertise to identify target markets and opportunities. Your primary responsibilities will include: Roadmap: Drive the Spark engine roadmap: Catalyst optimizer, AQE, dynamic partition pruning, Spark Connect, and native acceleration. Lakehouse Integration: Define strategy for Spark on Delta Lake, Iceberg, and Hudi: read/write optimization, column stats, Z-order clustering, and snapshot isolation. Structured Streaming: Drive investments in Structured Streaming: watermarking, stateful processing at scale, and latency/cost tradeoffs. Cost & Efficiency: Partner with infrastructure on shuffle optimization, spill reduction, spot-instance resilience, and dynamic resource allocation. Track cost-per-query and job success SLOs. Cross-Functional Alignment: Align data engineers, platform SREs, and ML teams around shared engine investments. Required technical and professional expertise Domain Experience: 10+ years of experience in the data infrastructure ecosystem, which may include roles in product management, solutions engineering, sales engineering, developer advocacy, or technical architecture within query engines, lakehouse platforms, or distributed data systems. Product Thinking: Demonstrated ability to translate customer needs, system constraints, and performance insights into clear product requirements and roadmap priorities. Open-Source & SQL: Experience with open-source data engines and SQL-based platforms. Familiar with open-source community dynamics, upstream contribution, and fork management. Spark Internals: Working knowledge of Spark internals: DAG scheduler, Catalyst, Tungsten execution, exchange protocols. Able to read a query plan and diagnose a skewed shuffle. JVM & Performance: Familiarity with JVM performance: GC pressure, off-heap memory, and the tradeoffs of native acceleration. Lakehouse Experience: Experience with Delta Lake, Apache Iceberg, Hudi, and a solid understanding of lakehouse architecture, including implications for Spark read/write paths, query planning, and table format interoperability. Quantitative Instincts: Comfortable with SQL, query plan interpretation, and translating benchmark data into product decisions. Preferred technical and professional experience Spark Community: Committer or contributor history on Apache Spark, or experience with a major Spark distribution (Databricks Runtime, EMR, Dataproc). Spark Connect: Experience with Spark Connect or decoupled client/server Spark architectures. ML Feature Engineering: Background in ML feature pipelines and the intersection of Spark with training data preparation. Observability: Experience defining instrumentation strategy for distributed job platforms. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website () . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff Data Scientist | Series A | VC - Backed AI Startup | Defense | Maritime Intelligence | The Company We’re partnering with a high-profile, Series A, VC-backed AI startup building the next generation of defense and maritime intelligence infrastructure. This team is developing a global sensor constellation powered by proprietary AI and robotics — delivering real-time visibility into maritime activity at a scale that hasn’t existed before. The Product Their platform deploys smart edge-compute systems across fishing vessels and maritime fleets worldwide — collecting video, GPS, and multi-modal sensor data in real time. That data is ingested, processed, and surfaced through a customer-facing platform — powering insights across illegal fishing detection, smuggling prevention, and maritime safety. Under the hood: • Distributed IoT systems at global scale, • Complex data pipelines across AWS + Azure (including gov cloud), • Real-time analytics + secure API infrastructure, • High-stakes environments with strict compliance requirements Why This Role Matters This isn’t another dashboarding role. As a Staff Data Scientist, you’ll sit at the core of the platform — turning massive, messy, high-dimensional sensor data into real-world intelligence. You’ll also play a critical role in building feedback loops for edge-deployed AI systems, directly improving how models perform in the wild. Why You Should Join? • Mission-driven impact — your work directly contributes to global security and saving lives at sea, • True 0→1 ownership — shape analytics architecture and influence product direction, • Cutting-edge problems — multi-sensor, time-series, geospatial data at scale, • Growth stage — strong revenue momentum + real product traction, • Flexible career path — stay as a high-impact IC or grow into leadership What You’ll Do • Analyze large-scale, real-world sensor data to uncover patterns, anomalies, and insights, • Build scalable analytics pipelines powering customer-facing intelligence products, • Partner with product + customer teams to translate complex operational problems into data solutions, • Identify model drift, failure modes, and performance gaps across deployed AI systems, • Design feedback loops for continuous learning and model improvement, • Build internal tools for visualization, experimentation, and metric tracking, • Define and refine metrics for evaluating AI perception and detection systems, • Ensure data quality, integrity, and reliability across the pipeline What They’re Looking For • 10+ years in applied data science, shipping production-grade systems, • Strong Python + SQL skills (pandas, numpy, scikit-learn), • Experience with time-series, geospatial, or multi-sensor data, • Deep understanding of statistical modeling (clustering, regression, anomaly detection), • Familiarity with ML ops (dataset versioning, labeling workflows, monitoring), • Strong communicator — able to translate complex data into actionable insights Bonus: Experience working with edge AI systems or in maritime, aerospace, or automotive domains Tech Stack Python, pandas, numpy, scikit-learn, SQL The Team • High-ownership, high-ambiguity environment — you’ll be expected to lead without a playbook, • Lean, mission-driven team where engineers own outcomes end-to-end, • Fast-moving — ideas get shipped, not parked, • Strong builder culture: “you build it, you run it”, • Hybrid but hands-on — expect meaningful in-office collaboration Who This Is Perfect For? • You’ve operated at Staff/Principal level and want real ownership, • You enjoy messy, real-world data problems, not just clean datasets, • You want your work to matter beyond dashboards — real-world impact Join a team turning cutting-edge AI into real-world impact — where your work shapes global security, not just dashboards

Senior Machine Learning Engineer, Search & Knowledge Platforms Are you passionate about search technologies and building knowledge experiences? The Answers, Knowledge, and Information team is at the forefront of revolutionizing how hundreds of millions of people use their devices to obtain information. We are a world-class team of machine learning engineers who collaborate closely with product, data science, and infrastructure teams to power and enhance features across Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of the most dynamic high-performance computing environments, managing petabytes of data and millions of queries per second. As a Senior Machine Learning Engineer, you play a critical role in developing world-class search and Q&A experiences for Apple customers using cutting-edge search technologies and large language models. As a member of our dynamic team, you will have the unique and rewarding opportunity to contribute to the development of upcoming products from Apple. Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products, including Siri, Safari, Spotlight, and more. Therefore, we are seeking candidates with a deep understanding of large-scale search technology, machine learning fundamentals, applied machine learning experience, and strong software engineering skills. As Senior Machine Learning Engineer for the Search and Knowledge Quality team, you will be responsible for developing the ranking and retrieval technologies that power question answering and search across Apple products. In this role, you will collaborate with world-renowned experts in large-scale data management, machine learning systems, and knowledge extraction, driving advancements in question answering and search, as well as the underlying ranking and retrieval technologies. This is your opportunity to shape how people obtain information by leveraging your Search and applied machine learning expertise, along with robust software engineering skills. Responsibilities • Analyze search retrieval, ranking and relevance requirements, issues and opportunities, • Design, train, and deploy machine learning models to improve search relevance and ranking., • Define evaluation metrics and benchmarks for search quality., • Collaborate with multi-functional teams including: product, design, and data engineering., • Bachelor's in Computer Science, Machine Learning, or a related field, • 7+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems, • Strong programming skills in C/C++ or Python, and experience with ML frameworks, • Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval, • Advance degree in Computer Science, Machine Learning, or a related field, • 5 years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems, • Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc., • Experience working with transformer-based models (e.g., BERT, T5) in a search context, • Prior industry experience on large scale search systems

Operations Eng/Annotation Lead Position Details: Location: San Francisco, CA 94107 (Onsite) Type: Contract $40-50w2 • Communicate with vendors, • Possibly build dashboard, • Communication between engineers and annotation team internally and externally. SO the accuracy of the annotation is important. Responsibilities 1. Annotation Lead Own the end-to-end quality and coordination of annotation workflows across concurrent streams. • Ensure annotation outputs consistently meet the quality bar; identify and resolve systematic error patterns (label inconsistencies, missed edge cases, boundary errors), • Serve as the primary interface between ML engineers and the external annotation vendor — ensuring timely and crisp communication on annotation tasks including clarifications, guideline alignment, and QA feedback, • Work with engineers to establish and maintain annotation guidelines, protocols, and gold-set standards; verify ground truth sets against engineer intent before large-scale annotation begins, • Identify and implement pre-annotation tooling or workflow improvements that increase annotator efficiency and reduce error rates, • Track inter-annotator agreement, QA pass rates, and rejection patterns over time; use findings to drive continuous guideline improvement 2. System Performance Monitoring Develop a deep understanding of where and how the system struggles, and keep engineering informed. • Build intuition on hard corner cases and edge conditions where the system fails — through ongoing review of annotation outputs, rejection patterns, and model validation results, • Communicate regularly with engineering to surface failure patterns, flag emerging issues, and play an active role in driving identified issues to resolution, • Track pipeline health metrics by building and maintaining whatever tooling is appropriate (SQL queries, scripts, spreadsheets, or lightweight dashboards) What We're Looking For • Able to pick up and use tools such as SQL, Python, dashboard platform to pull, summarize, and track metrics., • Strong analytical eye — able to spot quality issues and failure patterns in structured label data, • Clear, crisp communicator; comfortable as the connective tissue between engineering and an external vendor, • Organized and self-directed; able to maintain tracking systems and keep multiple workstreams moving without close oversight, • Work in the US business hours Requirements: • A Bachelor’s Degree with 3-4 years of experience or a Master’s Degree with 2 years’ experience in Computer Science, Electrical Engineering, or a related field., • Core Skills: General Software Engineering skills with 3+ years of programming experience in python and the surrounding tooling ecosystem along with familiarity in linux and expertise in infrastructure, cloud and/or MLOps,., • Personal Attributes: Team player, good communication skills, self starter., • Strong teamwork and communication skills to collaborate with cross-functional teams, including ML and software engineers., • Nice to Have: Experience building MLOps pipelines for deep learning based perception solutions on AWS or GCP EEO Statement: Blackstone Talent Group is a division of Blackstone Technology Group, a global IT services and solutions firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone’s global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.

AI-native Enterprise Talent Platform Product Manager Eightfold is a global leader in an AI-native enterprise talent platform, trusted by the world's largest and most respected Fortune 500 organizations. Our platform is built from the ground up, operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for the US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes. Backed by over $410M in funding and valued at $2B+, we are defining the next era of agentic talent systems. What sets Eightfold apart is not just the technology & our mission, but the team behind it. We are a deeply technical, execution-driven organization that values ownership, collaboration, and high standards. Our engineers, product leaders, and go-to-market teams work closely together — in person and across functions — to build systems that scale in the real world. If you're excited to work on hard problems, move with urgency, raise the bar every day, and help build agentic systems that transform how the world works, Eightfold is the place to do it. About the Role: • As a Product Manager at Eightfold.ai, you will play a key role in driving the strategy, vision, and execution of products that enhance the talent acquisition and experience journey., • You will work closely with leadership, engineering, and cross-functional teams to define and deliver impactful, scalable solutions that align with Eightfold's mission of "the right career for everyone in the world." This role requires strong strategic thinking, customer empathy, and a deep understanding of enterprise SaaS dynamics., • You'll collaborate with customers, partners, and internal stakeholders to identify market opportunities, define priorities, and shape differentiated products that strengthen Eightfold's position in the talent intelligence space being at the forefront of building AI-driven products that transform how organizations attract, engage, and retain talent. Responsibilities • Work with the leadership team, the engineering team, and the product team to develop and execute roadmaps for apps built on the Eightfold platform., • Collaborate with our developer partners and customers to internalize and understand their needs and develop a strategic product roadmap to address these needs., • Foster our values of ownership, compassion, commitment to learning, transparency, and integrity., • Partner with and drive support for your vision across executive leadership, product design, marketing, customer success, and sales., • Conduct in-depth analysis of the market landscape for talent acquisition and experience to develop differentiating products in the market., • Understand Eightfold core technological strengths and work to integrate them into the products., • Closely track industry trends and adapt your product strategy accordingly., • 8+ years experience in Product Management, • Demonstrated bias to action & an aptitude for rapid learning, • A passion for Eightfold's vision: The right career for everyone in the world., • Technical knowledge and understanding of enterprise SaaS products, • Exceptional interpersonal and communication skills, both written and verbal Pay Transparency Please note this role is categorized as onsite or hybrid in Santa Clara, CA. The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role may be eligible for bonus and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, experience and zone. Zones are determined by location. Zone A: Base annual salary range: USD $156,000 to $250,000 Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting February 1, 2024, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office twice a week.

Senior Machine Learning Engineer - Ads Bidding & Pacing Cupertino, California, United States Machine Learning and AI Posted: Mar 12, 2026 Weekly Hours: 40 Role Number: 200649540 Summary At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. We are seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. You should have experience developing and implementing machine learning or optimization algorithms, ideally within the ads space, recommendations, or search relevance. You will have an excellent understanding of scalable architectures and thrive working in Agile environments. Description In this role, you will design and build scalable solutions that enable advertisers to optimize for their campaign goals and performance on the Apple Ads. You will have the opportunity to build the next generation solutions for budget and bid optimization that enable driving optimal campaign performance and advertiser experience. You will have the opportunity to apply your ability to move the state of the art techniques in a fast growing business that positively impacts publishers, developers and Apple users at global scale. The ability to be a great teammate under tight deadline constraints is key to success. Responsibilities You will develop models and systems that improve our platform across the board, develop production code to generate high quality ad recommendations and work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You will drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network. You have, or will develop a deep understanding of the ad network behavior, and will work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You will lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business. You will work with a variety of cross functional business partners to set strategy and bring end-to-end solutions that scale as we grown. Minimum Qualifications 5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale Experience in machine learning, quantitative methods, control systems, or reinforcement learning Ability to apply and implement research concepts, ultimately in production quality code Experience defining clear, testable research hypotheses, including intended impact on the business Deep knowledge of design of experiments, online experimentation approaches, preferably at scale Ability to formulate and advocate for R&D objectives and results to cross-functional team members including executive business leadership and product management Experience contributing and/or reviewing research for top conferences and publications Deep fluency in Java or Python. Experience with Spark, Hadoop or other distributed frameworks. PhD in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry. Preferred Qualifications Experience in ads optimization, recommendations, or search relevance optimization is highly preferred Pay & Benefits 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 $181,100 and $318,400, 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. 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.

Senior Machine Learning Engineer - Matching, Apple Ads At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! You'll have the opportunity to develop models that improve our platform across the board, write production code to generate recommendations, work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You'll drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network. You've, or will develop a deep understanding of the ad network behavior, and will work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You'll lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business. You should have experience developing and implementing machine learning algorithms, ideally within the ads space. You'll have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a good team player under tight deadline constraints is key to success. Matching at Ads is a critical component of our Ads funnel and responsible for ensuring that we are retrieving relevant and engaging Ads for our users. We are building the next generation of our retrieval systems to sustain the growth of the business for the future. We are looking for a Machine Learning Engineer that will develop the algorithms for our retrieval system. In this role you will drive step-change improvements in our outcomes, impact our platform revenue and quality of our ads, and formulate approaches to greenfield product opportunities. You will own end-to-end the ideation, development, testing and productization of these algorithms. You will work with complex problems in the ads retrieval space, provide solution that adhere to Apple's privacy principles, review and contribute to state of the art in research, work with a variety of cross functional teams to ensure the feasibility and robustness of delivering new capabilities. This role will work closely with organizational partners and be expected to present findings across the organization. Minimum Qualifications • 4+ years of experience building machine learning capabilities across many different product areas at scale., • Proven experience in NLP, information retrieval and search., • Ability to apply and implement research concepts, ultimately in production quality code., • Experience defining clear, testable research hypotheses, including intended impact on the business., • Deep understanding of design of experiments, online experimentation approaches, preferably at scale., • Experience contributing and/or reviewing research for top conferences and publications., • 7+ years of experience building machine learning capabilities across many different product areas at scale. 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 $181,100 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. Apple accepts applications to this posting on an ongoing basis.

Senior Product Manager San Jose, California Position: Senior Product Manager Location Focus: San Jose, CA (Preferred) About Epic Epic is the leading digital reading platform for kids, used by millions of children, families, and educators around the world. With a vast library of high-quality books and learning resources, we empower K–12 students to explore their interests, build literacy skills, and develop a lifelong love of reading. As we look to the future, Epic is reimagining what reading can be—more personalized, more interactive, and more accessible than ever before. We're combining technology, storytelling, and education to shape the next generation of readers. About the Role We're looking for a Senior Product Manager to join our growing team. Reporting to the Head of Products, this individual will play a critical role in supporting our cross-functional teams to build meaningful product experiences that delight our users and drive measurable impact. This role is ideal for a mid-to-senior-level product manager who thrives at the intersection of user needs, product development, and data-driven decision-making—and who is passionate about shaping the future of digital reading for kids. Experience: 5–7 Years The Vibe: A "battle-tested" leader who can turn market gaps into product breakthroughs. • The Role: You will own the product roadmap, balancing Epic's existing strengths with aggressive market opportunities. This isn't just about maintaining; it's about making breakthroughs., • Key Responsibilities:, • Drive product strategy by synthesizing market trends and Epic's core competitive advantages., • Translate deep insights from teachers and students into actionable features., • Execute with high agility, moving from concept to launch in a fast-paced global environment., • Qualifications:, • 5–7 years of PM experience with a mature business perspective., • Proven track record of high-execution and "winning" in competitive landscapes., • Bonus: Prior experience in a startup or as a founder is highly valued., • Be part of a mission-driven company shaping how millions of children read and learn, • Work on a product with real impact, global reach, and massive growth potential

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the worldfrom the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better. Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future. The Director, Regulatory Affairs leads global regulatory strategy, reporting, compliance, labeling, and regulatory intelligence to support product development, approval, and market expansion. This role provides regulatory leadership for ophthalmology drug and combination product programs from early development through registration and global launch, using a U.S.-led approach aligned with key exU.S. regions.The Director partners crossfunctionally with Clinical, Nonclinical, CMC, Quality, Safety, and Regulatory Operations to develop global regulatory strategies, lead health authority interactions, ensure highquality submissions, and manage regulatory risk across the product lifecycle. Responsibilities include preparation for and leadership of health authority meetings (e.g., preIND, endofphase, preNDA/BLA).The Director, Regulatory Affairs typically includes people and/or matrix leadership of regulatory teams and external vendors. * Define and execute global regulatory strategies for ophthalmology drug and combination product programs, aligned with development, CMC, and commercial objectives. * Provide guidance and direction regarding regulatory strategy to department. * Interpret Regulatory Authority policies and guidance and correctly apply them as appropriate in product development and labeling regulatory activities. * Drive innovative strategies to enable successful regulatory submissions and improve the probability of approval. * Point of contact with Health Authorities and ability to manage the relationship with Health Authorities as assigned. * Develop and mentor team of individual contributors/subject matter experts. * Provide input to regulatory budget process. * Bachelors degree required; advanced degree (Masters, PhD, PharmD) preferred * 10-15+ years in Regulatory Affairs or relevant experience in a regulated environment * Global portfolio management and strategy experience and strong familiarity with registration requirements in exU.S. regions. * RAPS certification desired * Deep understanding of regulatory authority policies, processes, and information systems, with the ability to apply them to product development, labeling, and pre and postmarket submissions. * Strong scientific and analytical skills to critically evaluate data, technical arguments, and risk, serving as a regulatory subject matter expert internally and externally. * Strategic mindset with strong business acumen to anticipate regulatory changes, make riskbased recommendations, and drive successful approvals while minimizing business impact. * Proven leadership and people management abilities, including coaching and mentoring, influencing crossfunctional teams, and providing strategic direction beyond direct reporting lines. * Excellent communication, organizational, and writing skills, with strong attention to detail and document accuracy. * Demonstrated ability to manage multiple priorities, coordinate resources, meet tight deadlines, and work independently in a fastchanging environment. * Strong interpersonal and influencing skills to engage internal and external stakeholders, including key opinion leaders, advisory boards, and advocacy groups. * Commitment to teamwork, continuous learning, process improvement, operational excellence, and performance metrics. We offer competitive salary & excellent benefits including: * Medical, Dental, Eye Health, Disability and Life Insurance begins on your hire date * 401K Plan with company match and ongoing company contribution * Paid time off vacation (3 weeks - prorated upon hire), floating holidays and sick time * Employee Stock Purchase Plan with company match * Employee Incentive Bonus * Tuition Reimbursement (select degrees) * Ongoing performance feedback and annual compensation review All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000.00 and $220,000.00. The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors. U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation. Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms. To learn more please read Bausch + Lomb's Job Offer Fraud Statement () . Our Benefit Programs:Employee Benefits: Bausch + Lomb () Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

The Opportunity Adobe is looking for a Machine Learning Engineer to understand and optimize the experience of Adobe's Customer Experience Orchestration customers. By partnering with Adobe Research and other business units, you will build products that transform how companies approach audience creation, journey optimization, and personalization at scale. Join a diverse, collaborative, and lively group of engineers and scientists well-established in the ML space. The work here is dynamic, fast-paced, creative, and data-driven. What you'll Do • Develop innovative models in collaboration with Adobe Research., • Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making., • Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows., • Engage in the product lifecycle, including architecture, design, deployment, and production operations., • Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches. What you need to succeed The ideal candidate will have the following background: • MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or PhD degree in Computer Science, Data Science, or a related field., • Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods., • Experience in building large-scale data pipelines., • Ability to quickly learn new skills and work in a fast-paced team., • Proficiency in one or more programming languages such as Python, Scala, Java, or SQL., • Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch., • Experience working with both research and product teams., • Excellent problem-solving and analytical skills. Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let's Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience. Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $125,600 -- $234,150 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $161,700 - $234,150 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Machine Learning Engineer, TikTok Content Recommendation (Ecosystem & Cold-Start) Location: San Jose Employment Type: Regular Job Code: A62567 Responsibilities Our team is responsible for designing and optimizing TikTok's content distribution and author growth mechanism to ensure the healthy and sustainable development of TikTok's content ecosystem. Our work involves optimizing large-scale recommendation algorithms, solving optimization problems with complex constraints, designing and implementing recommendation architectures for various scenarios, and conducting complex and in-depth analyses of product data. Here, you can drive deeper into the improvement and optimization of machine learning/deep learning algorithms, including but not limited to Mathematics, CV/NLP technology, multi-task learning, multi-modal technology, meta-learning, reinforcement learning, causal inference, metric learning, graph neural networks, active learning, life long learning, etc. Responsibilities - What You'II Do - Build industry-leading recommendation system, improving user experience, the content ecosystem and platform security; - Deliver end-to-end machine learning solution to address critical product challenges; - Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance. - Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets. Qualifications Minimum Qualifications - Bachelor degree or above in computer science or a related major, with 2+ years of related work experience; - Strong software development experience with C++, Python or other programming language; - Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product; - Strong communication and teamwork skills; - Passion about techniques and solving challenging problems. Job Information For Pay TransparencyCompensation Description (Annually) The base salary range for this position in the selected city is $156000 - $316800 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment. About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. Diversity & Inclusion TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok Accommodation TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

Staff Machine Learning Engineer, TikTok BRIC Account Security Location: San Jose Employment Type: Regular Job Code: A172703A Responsibilities The Business Risk Integrated Control (BRIC) team is missioned to: - Protect TikTok users, including and beyond content consumers, creators, advertisers; - Secure platform health and community experience authenticity; - Build infrastructures, platforms and technologies, as well as to collaborate with many cross-functional teams and stakeholders. The BRIC team works to minimize the damage of inauthentic behaviors on TikTok platforms (e.g. TikTok, CapCut, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti spam, API abuse, growth fraud, live streaming security and financial safety (ads or e-commerce), etc. In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences. Responsibilities: - Take ownership of account security issues across TikTok and other overseas product lines (short video, live streaming, payment, e-commerce, local services, etc.). - Leverage large-scale behavioral data from hundreds of millions of accounts, applying algorithms to mine massive datasets and identify various account security issues, including but not limited to fake registrations, account takeovers, account trading, account nurturing, and session hijacking. - Analyze and uncover hidden data correlations to build an account risk perception framework, enabling early detection and rapid response to emerging risks. - Contribute to the development of account risk control infrastructure, including data warehouses, feature engineering, and machine learning models. Qualifications Minimum Qualifications: - Master's degree or above in Computer Science, Statistics, Artificial Intelligence, or a related field. - Solid engineering skills. Proficiency in one or more programming languages such as C++, Java, or Python. - Familiarity with big data technologies such as SQL/HQL, and hands-on experience with one of Hadoop, Hive, Spark, or Flink. - Solid understanding of machine learning, deep learning, and large language models; knowledge of clustering, community detection, and related techniques, with the ability to validate algorithm effectiveness and apply them to risk control scenarios. Preferred Qualifications: - Prior experience in combating online fraud, abuse, or anti-cheating in the internet industry. - Familiarity with emerging technologies such as large language models (LLMs) and AI Agents. Job Information For Pay TransparencyCompensation Description (Annually) The base salary range for this position in the selected city is $244800 - $450000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice. For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment. About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. Diversity & Inclusion TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok Accommodation TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at