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Position Type: Regular At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab’s AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As a (Mid-Level) AI Researcher on AI.x, you will play an important role in advancing Schwab’s priorities by contributing to innovative AI research and developing impactful solutions. This position offers the opportunity to help shape Schwab’s future with AI, to work on research that serves millions of clients, and to grow your career in one of the most dynamic areas of technology today. As a (Mid-Level) AI Researcher, you will design, investigate, and develop advanced AI models and algorithms that enhance client experience and deliver business value. You will collaborate closely with architects, engineers, and business leaders to align research efforts with Schwab’s enterprise strategy. You will participate in mentoring and knowledge-sharing with junior team members, helping to build strong scientific practices and foster a culture of continuous learning. You will contribute to solving complex technical challenges, supporting research standards, and driving experimentation from concept to application. Above all, you will bring curiosity, creativity, and technical depth to help propel the next generation of AI at Schwab. Required Qualifications: • A master’s or other advanced degree in Computer Science, Mathematics, Physics or related field, or equivalent industry experience, • 5+ years of experience in AI / ML research and development using Python, • 5+ years of experience building data pipelines and data analyses that interface with large datasets, • 3 + years of experience using AI models to deliver business value, • Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python, • Strong computer science fundamentals, including experience writing unit tests, • Experience working with LLMs and shipping LLM-powered applications to production, • Ability to solve complex problems with ambiguous or incomplete data, • Experience working with and mentoring engineers, through presentations, clear feedback and code reviews, • Curiosity about new technologies and processes – you always seek to improve yourself and everyone around you and proactively seek and share knowledge with others on your team., • Strong communication skills – you balance written and verbal communication to clearly share your perspective with others on the team., • Demonstrated mindset of continuous learning and improvement. At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our ___ approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive ___ that takes care of the whole you – both today and in the future: • 401(k) with company match and Employee stock purchase plan, • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions, • Paid parental leave and family building benefits, • Tuition reimbursement, • Health, dental, and vision insurance

Position Type: Regular At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab’s AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As an AI Researcher on AI.x, you will play a key role in bringing these priorities to life by advancing cutting-edge AI research and developing innovative solutions. This role is more than a research position. It is an opportunity to join a high-profile team shaping Schwab’s future with AI, to create research that matters to millions of clients, and to grow your career in one of the most exciting areas of technology today. As an AI Researcher, you will design, investigate, and develop novel AI models and algorithms that enhance client experience and create business value. You will work closely with architects, engineers, and business leaders to align research efforts with Schwab’s enterprise strategy. You will mentor and coach junior researchers, helping to build strong scientific practices and foster a culture of continuous learning. You will lead by example in tackling complex technical challenges, advancing research standards, and driving rapid experimentation from concept to application. Above all, you will bring curiosity, creativity, and technical depth to help shape the next generation of AI at Schwab. Required Qualifications: • A master’s or other advanced degree in Computer Science, Mathematics, Physics or related field, or equivalent industry experience, • 7+ years of experience in AI / ML research and development using Python, • 7+ years of experience building data pipelines and data analyses that interface with large datasets, • 3 + years of experience using AI models to deliver business value, • Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python, • Strong computer science fundamentals, including experience writing unit tests, • Experience working with LLMs and shipping LLM-powered applications to production, • Ability to solve complex problems with ambiguous or incomplete data, • Experience working with and mentoring engineers, through presentations, clear feedback and code reviews, • Curiosity about new technologies and processes – you always seek to improve yourself and everyone around you and proactively seek and share knowledge with others on your team, • Strong communication skills – you balance written and verbal communication to clearly share your perspective with others on the team, • Demonstrated mindset of continuous learning and improvement At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our ___ approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive ___ that takes care of the whole you – both today and in the future: • 401(k) with company match and Employee stock purchase plan, • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions, • Paid parental leave and family building benefits, • Tuition reimbursement, • Health, dental, and vision insurance

Job Description InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company's Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, you'll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit Overview of the role: We're providing a unique opportunity to create immediate impact across our company and product offerings. Your work will be mission-critical for InMobi, directly contributing to optimized tech operations while collaborating with exceptional talent in our ambitious peer groups. InMobi stands as a global leader in the mobile advertising landscape, recognized for our innovative approach and technological excellence. To fuel our continued growth and market success, we're seeking a dynamic Executive Assistant to provide critical support to our Chief Business Officer (CBO) and select members of our executive leadership team. In this role, you'll help maintain a corporate environment that's productive, vibrant, and positioned for excellence. The responsibilities of this position are broad and dynamic—essentially, whatever it takes to remove distractions and keep our CBO and executives focused on scaling the business. Our ideal candidate derives joy from enabling others, takes pride in the little details that define the difference between good and great, is always eager to lend a helping hand, and is not afraid to roll up their sleeves and lead by example. *This role is in-person and onsite in our San Mateo, CA office and is not open to remote locations. The impact you'll make: • Primary executive administrative support to the Chief Business Officer (CBO), while also assisting 2 additional senior leaders, • Intermittent support to the leadership team for external events, conferences, and client gatherings, • Manage administrative needs across multiple executives, including calendar coordination, meeting preparation, and travel arrangements, • Represent the Executive Office with professionalism while interacting with the Board, customers, employees, and management, • Manage complex calendars across departments and locations without being a "gatekeeper", • Coordinate meetings, ensuring executives arrive on time and prepared, • Plan and coordinate complex travel logistics with attention to detail, • Organize expense reports, anticipate executive needs, and ensure work-life balance, • Partner with HR for senior employee onboarding and with other departments for events and activities, • Track key deliverables and improve administrative processes as the company scales, • 10+ years as a seasoned executive assistant with business savvy, sound judgment, attention to detail, creative skills, and ability to connect initiatives while prioritizing in fast-paced technology companies, • 3+ years of Global EA experience is required; ability to schedule and coordinate across multiple time zones with global leadership is critical, • Flexibility and agility with scheduling and coordination, and confidence in handling last-minute requests., • High EQ, professional presence, maturity, dependability, empathy, and understanding of globally distributed organizations; ability to establish credibility with diverse stakeholders and resolve complex situations without knowing the total picture, • Highest degree of confidentiality and discretion with sensitive information; tact and diplomacy in a highly visible position, interacting with all levels internally and externally, • Unflappable demeanor that brings a sense of calm to any situation while thriving in InMobi's fluid, ever-changing environment, • Exceptional self-sufficiency to intuitively find solutions without direction; prioritizing urgent matters and preparing meticulously for interactions with global stakeholders across diverse cultures and time zones, • Integrity, desire to empower, work ethic, organization, punctuality, accountability, and continuous improvement, • Strong analytical, critical thinking, problem-solving, judgment, negotiating, and decision-making skills, • Proficiency with technology and the ability to quickly learn new applications, • Thorough understanding of international travel logistics and event organization, • Excellent written and oral communication with strong interpersonal skills to handle multiple responsibilities simultaneously, • Results-oriented, extremely motivated, with sharp organizational skills, • Passionate about empowering others while maintaining a positive, encouraging attitude, • InMobi Advertising – Powering data-driven mobile marketing for the world's leading brands, • Glance – A revolutionary Gen AI-powered lockscreen & TV content platform transforming how millions discover and engage with content. What sets us apart? Not just what we build. How we build it. At InMobi, we balance our hunger for cutting-edge tech with a deep focus on our people - their growth, well-being, and potential. At InMobi, you'll be surrounded by people who: • Think big and act fast: We're entrepreneurial, thrive in ambiguity, and love solving high-impact problems, • Are passionate, fanatically driven, and take immense pride in their work: We care deeply about the impact we create and continuously push our potential, • Own their outcomes: We take responsibility, make bold decisions, and execute with confidence, • Embrace freedom with accountability: We value autonomy and understand that trust comes with responsibility Our compensation philosophy enables us to provide a competitive salary that drives high performance while balancing business needs and pay parity. We determine compensation on a wide variety of factors, including role, nature of experience, skills, and location. The base salary (fixed) pay range for this role would range from $106,400 to $144,400 USD (min to max of base salary pay range). This salary range is applicable for our offices located in California and New York*. *Our ranges may vary based on final location/region / or fully remote roles in accordance with the geographical differentiation in pay scales in the country. In addition to cash compensation, based on the position, an InMobian can receive equity in the form of a stock grant known as Restricted Stock Units (RSUs). To encourage a spirit of shared ownership, we believe that our employees should have the ability to own a part of the organization. Furthermore, as you contribute to the growth of the company, additional stock may be issued in recognition of your contribution over time. A quick snapshot of our benefits: • Competitive salary and RSU grant (where applicable), • High-quality medical, dental, and vision insurance (including company-matched HSA), • 401(k) company match, • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays, • Substantial maternity and paternity leave benefits and compassionate work environment, • Flexible working hours to suit everyone, • Wellness stipend for a healthier you!, • Free lunch provided in our offices daily, • Pet-friendly work environment and robust pet insurance policy - because we love our animals!, • LinkedIn Learning on demand for personal and professional development InMobi is an equal opportunity employer InMobi is a place where everyone can grow. Howsoever you identify, and whatever background you bring with you, we invite you to apply if this sounds like a role that would make you excited to work. InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. The InMobi Culture At InMobi, culture isn't a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit to better understand our benefits, values, and more!

Staff Data Scientist – Sales Analytics Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities • Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections., • Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives., • Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects., • Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions., • Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting., • Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You • Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments., • Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions., • Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy., • Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams., • Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

SENIOR DATA SCIENTIST - SEARCH AND RECOMMENDATIONS SAN FRANCISCO BAY AREA (HYBRID) $160,000 – $190,000 BASE SALARY + EQUITY ABOUT THE ROLE We’re seeking a Data Scientist II to drive next-generation personalization and discovery for a fast-growing social commerce marketplace. You’ll partner with Machine Learning Engineers and product teams to design, build, and deploy models that impact millions of daily buyers and sellers. This is a high-impact, hands-on position ideal for someone passionate about transforming large-scale data into measurable business outcomes. KEY RESPONSIBILITIES • Model Development: Build and refine recommendation, personalization, and ranking models that scale to millions of users and hundreds of thousands of new listings each day., • Experimentation: Design and analyze A/B tests, iterating on metrics such as click-through rate, conversion, and listing quality., • Collaboration: Work closely with MLEs to move models from prototype to production, ensuring performance and reliability., • Data & Insights: Explore large-scale marketplace data to identify trends, create features, and improve model accuracy., • Cross-Functional Impact: Partner with product, engineering, and analytics stakeholders to translate business needs into technical solutions. REQUIREMENTS • 3+ years of applied data science or machine learning experience, • Proficient in Python and deep learning frameworks (PyTorch or TensorFlow), • Hands-on with recommendation, ranking, or personalization models at consumer scale, • Skilled in working with high-volume data and deploying production ML systems, • Knowledge of full ML lifecycle: development through monitoring, • Familiar with modern data infrastructure (Databricks, Feature Stores) and cloud platforms (GCP/AWS) Why Join • You’ll join an expanding AI/ML team that’s scaling rapidly to support multiple product squads, offering opportunities to work on cutting-edge projects and deepen your technical expertise. Expect mentorship from senior staff scientists, visibility across teams, and the chance to shape personalized shopping experiences for millions of global users.

Lead Data Scientist - Personalization & Recommendation Engines Location: SF Bay Area - Hybrid (3 days/week onsite) Salary: $200-260k base + Equity A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You'll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale. What You’ll Do • Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement., • Own the ML development process—from data exploration and feature engineering to model training, deployment, and post-launch optimization., • Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives., • Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform., • Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion. What You Bring • 7–10 years of experience building, deploying, and maintaining ML models at scale., • Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow., • Proven track record in consumer tech or large-scale marketplaces companies., • Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms., • Background in user behavior modeling, search relevance, or real-time data systems., • Strong foundation in experimentation (A/B testing), statistics, and applied ML., • Exceptional communication skills and the ability to translate technical insights into business value., • Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

Our client’s team harnesses machine learning to advance drug development and optimize clinical trial design. Their work involves developing cutting-edge multimodal generative models, representation learning techniques, and reinforcement learning applications to extract meaningful insights from imaging and omics data. Job Title: Computational Biologist – Immunology & Spatial Omics Location: (Fully onsite) South San Francisco, CA Type: 3-month contract (Very likely to extend) Pay Range: $45–$65/hr+(flexible for the right candidate) Start Date: ASAP About the Role: To establish robust and integrated data-driven analysis frameworks that leverage multimodal data (molecular, cellular, clinical, and imaging) in Inflammatory Bowel Disease (IBD) to enhance decision-making across the research and development pipeline with a focus on target discovery, target prioritization, biomarker discovery, and biomarker development. Key Responsibilities: • Develop and optimize ML/AI models (e.g., autoencoders, scVI, transformers) for spatial mapping using scRNA-seq reference atlases, • Integrate spatial and single-cell datasets to support immunology-focused research Required Qualifications: • PhD in computational biology, bioinformatics, or related field with 3–5 years of relevant experience, • Strong background in immunology & computational biology – in depth knowledge of IBD pathogenesis, relevant immune pathways and current therapeutics landscape., • Experience applying AI/ML methods to analyze multimodal omics, • Expertise in immunology is required, expertise in IBD, • Must be authorized to work in the U.S. without sponsorship needed.

Staff Data Scientist – Post Sales Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities • Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring., • Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion., • Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn., • Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals., • Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams., • Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You • Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment., • Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring., • Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy., • Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders., • Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

We are working with an advanced technology company at the forefront of developing AI-driven solutions for complex real-world challenges. Our team is pioneering next-generation decision-making systems, combining simulation, real-time data, and cutting-edge machine learning. Role Overview: We are seeking a talented AI/ML Engineer to join our growing team. In this role, you will design, develop, and optimize intelligent learning systems that adapt to dynamic environments. You’ll work closely with researchers and engineers to build scalable, high-performance AI platforms that power mission-critical applications. Key Responsibilities • Model Development: Design, develop, and deploy advanced AI/ML models for real-world use cases., • Research & Innovation: Experiment with emerging techniques to stay at the frontier of AI., • Engineering Excellence: Build robust, scalable systems that seamlessly integrate AI into production environments., • Strong technical foundation in AI/ML, data science, and systems engineering., • Experience building and deploying ML models in production., • Familiarity with modern AI frameworks and environments., • Ability to balance long-term innovation with short-term tactical execution., • Problem-solving mindset with a drive to learn and adapt., • Experience with distributed or edge-deployable ML systems., • Background in mission-critical domains such as autonomy, national security, or advanced robotics., • Exposure to containerization, orchestration, or cloud infrastructure., • Competitive compensation and equity., • Full health benefits + 401(k)., • Opportunity to help scale a cutting-edge AI company from the ground up., • Offices in California with opportunities for travel to partner sites.

Staff Machine Learning Scientist Location: SF Bay Area - Hybrid (3 days/week onsite) Salary: $275-325k base + Equity A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You'll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale. What You’ll Do • Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement., • Own the ML development process—from data exploration and feature engineering to model training, deployment, and post-launch optimization., • Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives., • Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform., • Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion. What You Bring • 7–10 years of experience building, deploying, and maintaining ML models at scale., • Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow., • Proven track record in consumer tech or large-scale marketplaces companies., • Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms., • Background in user behavior modeling, search relevance, or real-time data systems., • Strong foundation in experimentation (A/B testing), statistics, and applied ML., • Exceptional communication skills and the ability to translate technical insights into business value., • Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

Metric Bio is recruiting on behalf of a San Francisco–based digital health company that is building an AI-powered platform to transform patient care and healthcare delivery. We are seeking a Machine Learning Engineer who is passionate about applying advanced ML techniques to solve complex challenges in healthcare. This is an opportunity to work on a modern stack with a team that values hands-on technical depth, collaboration, and mission-driven impact. Responsibilities: • Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation., • Develop and maintain production-grade ML pipelines using MLOps tools (MLflow, Kubeflow, SageMaker, or similar)., • Collaborate with software engineers, data scientists, and clinicians to integrate ML models into scalable production systems., • Contribute hands-on to engineering across the company’s technical stack: Python/Django, Vue, Kubernetes, and GCP., • Ensure reliability, fairness, and compliance of models with healthcare standards (HIPAA, HITRUST)., • Participate in code reviews, pair programming, and architecture discussions as part of a collaborative engineering culture. Qualifications: • 3–6 years of experience as a Machine Learning Engineer, Applied ML Scientist, or related role., • Strong programming skills in Python and deep familiarity with frameworks such as TensorFlow, PyTorch, and Scikit-learn., • Hands-on experience deploying ML models into production environments., • Cloud expertise, ideally with GCP; Kubernetes and containerization experience preferred., • Knowledge of healthcare data formats (FHIR, HL7) or experience with digital health systems strongly preferred., • Excellent communication and problem-solving skills, with the ability to collaborate across technical and clinical teams., • Passion for leveraging AI to improve patient outcomes and healthcare delivery.

Senior Machine Learning Engineer SF Bay Area: Hybrid (3 days onsite/wk) $175,000 - $200,000 Base + Equity A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior Machine Learning Engineer. Their marketplace connects buyers and sellers through personalized, trustworthy, and engaging experiences. With a strong engineering culture and a focus on applied AI, their team is building next-gen features to shape how users discover, connect, and transact. Role We’re looking for a Senior MLE to take technical leadership of a core AI initiative. This is a high-impact, hands-on role where you’ll architect and deploy large-scale ML systems, drive end-to-end model productionization, and influence engineering culture across squads. You’ll partner closely with data scientists and product teams to deliver real-time, intelligent features that delight users and scale globally. Responsibilities • Solid foundation in distributed computing pipelines and observability, • for large-scale ML systems (batch & real-time), • Deploy experimentation-ready models into production with DS partners, • Build robust MLOps pipelines for serving, monitoring, and optimizing models, • Develop real-time inference systems, including vector database integrations, • Tackle challenging problems in personalization, fraud prevention, search, and GenAI tools Requirements • Solid software engineering foundation with Python and backend/data systems, • Experience deploying ML models in production at scale, • Exposure to distributed systems, performance tuning, and cost optimization, • Proficiency with PyTorch or TensorFlow, Airflow, Spark, Databricks, MLFlow, • Experience with real-time and batch pipelines, feature stores, and scalable inference, • Marketplace, e-commerce, or large-scale content platform experience, • Familiarity with GenAI/LLM ops, real-time personalization, or fraud detection

Job Description Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home. By putting the needs of patients and physicians first, our personalized digital devices, which are designed for function, comfort, and ease-of-use, aim to redefine the paradigm of care for these patients. Our first product, a wearable patch defibrillator, is initially targeted at treating the more than 500,000 patients in the US with an elevated temporary risk of potentially experiencing a lethal heart rhythm. Headquartered in San Francisco, our funders include Third Rock Ventures, Google Ventures, Deerfield Healthcare, Qiming Venture Partners USA, Cormorant Asset Management, and Invus Opportunities. SUMMARY OF ROLE: We are seeking a Customer Service Representative who is passionate about delivering exceptional support to patients and their caregivers during critical moments. This is a unique opportunity to join a mission-driven team and directly impact patient lives. RESPONSIBILITIES: • Serve as the first point of contact for patients and caregivers, addressing inquiries and concerns with empathy, professionalism, and urgency., • Manage inbound and outbound communication via phone, email, and SMS, ensuring timely and accurate responses., • Collaborate cross-functionally with Engineering, Product, and Clinical teams to resolve customer issues quickly and effectively., • Support the development and refinement of scalable processes and automation tools that enhance operational efficiency., • Take ownership of escalated issues to ensure prompt resolution and a positive customer and patient experience., • Monitor daily case flow from initiation to resolution, ensuring high levels of satisfaction throughout the customer and patient journey., • Identify emergency situations and follow established escalation protocols to ensure patient safety., • Participate in a rotating on-call schedule and be available to work nights, weekends, and holidays as needed., • Bachelor's degree preferred, or equivalent combination of education and professional experience., • Minimum of 3 years of experience in a patient care, healthcare support, or clinical customer service role., • Exceptional interpersonal and communication skills, with the ability to interact empathetically and effectively with patients, caregivers, and internal team members., • Strong critical thinking and problem-solving abilities, particularly in high-pressure, time-sensitive situations., • Demonstrated ability to exercise sound judgment when handling sensitive customer concerns or urgent issues., • Comfortable working both independently and as part of a fast-paced, collaborative team., • Proficient in CRM platforms, phone systems, Microsoft Office, Google Workspace, and general computer literacy., • Strong written and verbal communication, including clear documentation and professional presentation of information. BENEFITS: Element Science offers a very competitive salary and benefits package including, but not limited to: • Stock Options, • 90% employer-paid medical, dental, and vision insurance, • Company-paid Basic Life Insurance, • 401(k) retirement plan (Traditional and Roth), • Competitive Paid Time Off, • Paid Holidays, • FSA (Flexible Spending Accounts), • HSA (Health Savings Account), • Hourly Rate: $30.00 - $35.00 Element Science is an Equal Opportunity Employer. All candidates will be evaluated on the basis of their qualifications for the job in question. We do not base our employment decision on an employee's or applicant's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors prohibited by local, state, or federal law. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. We are not able to sponsor individuals for employment visas for this job. At this time, we are unable to offer relocation assistance at Element Science.

Job Description InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company's Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, you'll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit Overview of the role The Senior Sales Manager, Performance opportunity is within our expanding InMobi DSP and Glance performance team in the Americas region, where we're transforming the digital advertising landscape through groundbreaking solutions. The performance division at InMobi stands at the forefront of innovation, delivering cutting-edge solutions powered by our market-leading SKAN technology, extensive in-app mobile exchange network, and distinctive inventory partnerships with telcos and OEMs. Culture lies at the heart of our success, driving us to envision bold solutions, overcome complex challenges, and capitalize on emerging opportunities. Our environment brings together results-oriented professionals who blend creative thinking with entrepreneurial spirit. You'll have the platform to create meaningful impact with highly visible contributions across the organization. Working alongside accomplished and driven colleagues, you'll find a supportive team committed to mutual success and collaboration. We're dedicated to continuous growth, making significant investments in professional development through comprehensive internal programs and external resources. *This role is in-person and on-site in our San Mateo, CA office and is not open to remote locations. Some travel is required for client meetings and events as needed. The impact you'll make • Hunt: Identify, close, and develop relationships with targeted, strategic advertisers and independent agencies for App Performance and App Retargeting opportunities., • Farm: Develop and grow repeat business from existing customers, strategic relationship building to execute long-term commercial contracts, drive QBRs, etc., • Partner: Liaise with the other key AdTech players like MMPs, DMPs, Platforms, etc. to help work with the partnerships team and drive larger partnership conversations with an aim to deliver more value for the advertiser clients., • Engage: Attend industry events to represent InMobi with thought leadership on matters relating to performance advertising, especially with the latest industry trends like SKAN., • Strategize: Work with the product team to drive innovation and bring market feedback into feature requests, work with the product marketing team to drive enablement efforts for initiatives, work with external partners to drive referral programs for lead generation, work with the marketing team to drive thought leadership initiatives, work with internal team to drive process efficiencies on special projects., • Collaborate: effectively internally to align resources (product, engineering, business operations, etc.) to help meet marketers' needs.The experience we need, • Must have experience selling demand-side solutions to large brands and advertisers directly, across the advertising technology ecosystem, • Deep understanding of mobile app performance ecosystem (DSPs, MMPs, Native Media, KPIs, SKAN, etc.), • Deep experience selling into gaming studios, brands, and independent agencies alike across app performance ecosystems (vertical agnostic), • Drive results with a strategic approach to relationship building vs. a transactional approach, • High energy, self-starter, with the ambition to drive performance and impact on the business (bring the hustle mindset), • Proactive problem solver (aim for solutions, not only finding the problems), • Experience being on the other side of the spectrum in the delivery of campaigns and operations to understand common challenges, • InMobi Advertising – Powering data-driven mobile marketing for the world's leading brands, • Glance – A revolutionary Gen AI-powered lockscreen & TV content platform transforming how millions discover and engage with content. What sets us apart? Not just what we build. How we build it. At InMobi, we balance our hunger for cutting-edge tech with a deep focus on our people - their growth, well-being, and potential. At InMobi, you'll be surrounded by people who… • Think big and act fast: We're entrepreneurial, thrive in ambiguity, and love solving high-impact problems, • Are passionate, fanatically driven, and take immense pride in their work: We care deeply about the impact we create and continuously push our potential, • Own their outcomes: We take responsibility, make bold decisions, and execute with confidence, • Embrace freedom with accountability: We value autonomy and understand that trust comes with responsibility Our compensation philosophy enables us to provide a competitive salary that drives high performance while balancing business needs and pay parity. We determine compensation on a wide variety of factors, including role, nature of experience, skills, and location. The base salary (fixed) pay range for this role would range from $97,445 to $154,287 USD (min to max of base salary pay). This salary range is applicable to our offices located in California and New York*. In addition, an InMobian may also receive variable pay in the form of an annual variable bonus or quarterly variable bonus/sales incentive, as deemed per policy, in addition to fixed compensation. *Our ranges may vary based on the final location and region of the role in accordance with the geographical differentiation in pay scales in the country. In addition to cash compensation, based on the position, an InMobian can receive equity in the form of a stock grant known as Restricted Stock Units (RSUs). To encourage a spirit of shared ownership, we believe that our employees should have the ability to own a part of the organization. Furthermore, as you contribute to the growth of the company, additional stock may be issued in recognition of your contribution over time. A quick snapshot of our benefits: • Competitive salary and RSU grant (where applicable), • High-quality medical, dental, and vision insurance (including company-matched HSA), • 401(k) company match, • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays, • Substantial maternity and paternity leave benefits and compassionate work environment, • Flexible working hours to suit everyone, • Wellness stipend for a healthier you!, • Free lunch provided in our offices daily, • Pet-friendly work environment and robust pet insurance policy - because we love our animals!, • LinkedIn Learning on demand for personal and professional development InMobi is an equal opportunity employer InMobi is a place where everyone can grow. Howsoever you identify, and whatever background you bring with you, we invite you to apply if this sounds like a role that would make you excited to work. InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. The InMobi Culture At InMobi, culture isn't a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit to better understand our benefits, values, and more!

Job Description "All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment". Job Title: Senior AI Full stack Engineer Location: South San Francisco, CA (onsite) Duration : 12 Months PR: $80-86/hr on W2 AI Job Description: Minimum Requirements: • Bachelors or Master’s degree in Computer Science, Engineering, Mathematics, or, • a related field., • 5+ years of full stack development experience, • Strong proficiency in either a front-end framework (Vue.js, React, or similar) and, • a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask,, • Next.js, or similar), • 4+ years’ experience with front-end frameworks (preferably Vue.js), • 2+ years of developing and deploying AI/ML solutions or applications, • Experience designing and developing RESTful APIs (with e.g. Python FastAPI)., • Familiarity with prompt engineering, • Proficiency with containerized workflows and architectures (Podman, Docker,Kubernetes), • Strong automated software testing skills (Python unit test, jest, Playwright), • Familiar with Agile methodologies, • Leading system design and implementing scalable, fault-tolerant solutions for, • complex, distributed computing challenges., • Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g.,, • Snowflake)., • Experience implementing chatbots, retrieval-augmented generation (RAG)systems, and integrating LLMs into applications (AI-assisted automation) Preferred Qualifications: • Experience building AI agents, fine-tuning LLM models, and evaluating bias and, • fairness with LLM systems, • Experience in developing Microsoft Word add-ins using Office.js., • Experience with web technologies like JWT, Web Sockets, etc., • Experience with Hugging face, Langchain, Tensor Flow, PyTorch, or similar., • Familiarity with DevOps, infrastructure, and continuous integration concepts., • Familiarity with CRDT technologies like Yjs., • Experience with using NLP/LLMs on clinical text., • Basic knowledge of clinical drug development The Position: • We advance science so that we all have more time with the people we love., • Client INC Early Clinical Development (ECD) department is seeking a talented and, • motivated Software Developer reporting to the Director of software engineering at The, • Clinical Data Insights & Automation team (CDI&A)., • The CDI&A team collaborates with a broad range of stakeholders involved in the clinical development process (e.g., Clinical, • Science, Clinical Operations, Medical Writing, Quality, Regulatory). It develops industry-, • leading solutions for highly complex business problems., • To manage the design and pilot of these software products, they apply a high degree of ingenuity and creativity, • while maintaining a finger on the pulses of the rapidly changing tech and healthcare, • landscapes., • The Software Engineer will primarily be responsible for designing,, • developing, and deploying software which interacts with cutting-edge generative AI, • models and applications in collaboration with AI scientists, full stack developers, and, • others., • Their work will directly impact our ability to create and deliver innovative, • solutions that leverage AI to solve complex problems and enhance user experiences. The Opportunity: • Innovate and develop software applications to support clinical development, • Identify and integrate AI/LLM capabilities to enhance data processing and, • natural workflows., • Design intuitive, user-centric interfaces., • Code Quality and Documentation: Write clean, maintainable, and well-, • documented code. Participate in code reviews and contribute to best practices in, • software development., • Research and Innovation: Stay up-to-date with the latest advancements in, • generative AI and machine learning., • Evaluate new technologies and methodologies to continuously improve our solutions., • Collaborate with Cross-Functional Teams: Work closely with data scientists,, • engineers, and product managers to integrate generative AI capabilities into our, • products and services., • Deployment and Monitoring: Develop and maintain robust deployment pipelines, • for AI-enhanced applications. Monitor pipeline performance in production and, • implement necessary improvements. Who You Are: • An experienced full stack developer capable of bringing your expertise to our, • existing and upcoming AI applications/projects as both a leader and individual, • contributor., • Someone with a clear understanding of the current landscape of AI & AI-based, • applications, including potential benefits, limitations, and standard of practice. About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description **This is a hybrid on-site position. Candidates must be local to San Francisco, CA or Lake County, IL. The Associate Director of Exploratory Statistics provides statistical leadership in drug discovery and non-clinical and clinical biomarker activities to support target identification/verification, characterizing subgroups of patients or markers of disease progression and treatment response and patient selection or stratification to advance precision medicine. The associate director role collaborates with discovery researchers, translational scientists and clinicians in the design, collection, analysis and reporting of multi-dimensional biomarker data from Discovery to late-stage clinical development to enable objective decision-making for each clinical program in the responsible therapeutic area. Job Responsibilities • Lead statistical support for clinical biomarker programs through own efforts or those of the team. Provide expertise/Lead statistical strategies in one or more therapeutic areas for Discovery, Translational Science and Biomarker projects to advance precision medicine., • Train and mentor staff on statistical methodology and scientific interpretations. May supervise contract statisticians or junior statisticians. Develop strategy for building data analysis pipelines, statistical evaluation and interpretation of large and complex data sets in various stages of the responsible therapeutic areas. Identify and implement effective data analysis, computational or modeling techniques for interpreting discovery and biomarker data., • Plan and track project activities, timelines, and resource utilization. Drive for timely and high-quality deliverables. Assist in recruiting qualified personnel and arranging training opportunities for professional development of staff., • Maintain awareness of advanced exploratory statistical analysis technology, industry practices/standards and regulatory requirements and communicate within and outside team., • Providing leadership in designing, analyzing and reporting of biomarker-based clinical trials or other scientific research studies. Independently developing or providing guidance to develop biomarker section of clinical trial protocols or biomarker analysis plans. Work independently or provide guidance to Implement sound statistical methodology in scientific investigations., • Represent function/department on project team(s) to provide statistical input to biomarker discovery/development and drive alignment with functional management. Partner with other functions to create strategies for assigned projects., • Maintain an external presence within the statistics community by representing AbbVie on advanced and emerging topics. Attend key conferences and workshops in support of the presentation of company data, and the evaluation of scientific data presented across industry and academia.Qualifications, • PhD in statistics or related field with 6+ years of experience or Master in statistics or related field with 10+ of experience in the pharmaceutical or biotechnology industry., • Demonstrated expertise in advanced statistical/quantitative methods (e.g. adaptive designs, Bayesian methods, optimization, machine learning, modeling, multiplicity, subgroup identification, precision medicine etc.)., • Able to build strong relationship with peers and cross-functional partners to achieve higher performance. Highly motivated to drive innovation by raising the bar and challenging the status quo, • Pharmaceutical or related industry knowledge required, including experience and understanding of drug development and life-cycle management in the regulated environment. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. * This job is eligible to participate in our long-term incentive programs Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description Description: • Machine Learning Engineer – Prescient Design., • Hybrid Working Model., • We are looking for talented Machine Learning Engineers to join Prescient Design, a division devoted to developing structural and machine learning-based methods for molecular design within Research and Early Development (gRED) organization., • The successful candidate will manage projects deploying new techniques for machine learning-based molecular optimization for the analysis and design of small and large molecule drugs within target-driven design campaigns. For this role, we are seeking candidates with significant experience in at least one of the following areas, and ideally some experience in one or more of the others, listed in order of importance: • Molecular property prediction, • Probabilistic modeling/inference, • Bayesian optimization or active learning, • Production software engineering or pipeline optimization, • Cheminformatics In addition to these skills, strong software engineering experience is required. • Special focus will be given to engineering pipelines for probabilistic molecular property prediction and Bayesian acquisition for active learning-based drug discovery., • Additional activities may extend to include engineering pipelines for molecular generative modeling. The Role: • Join Prescient Design within the Computational Sciences organization in gRED., • Collaborate closely with scientists within Prescient and across gRED., • Develop machine learning and Bayesian optimization workflows to analyze existing and design new small and large molecules., • Form close working relationships with small molecule and protein therapeutic development efforts across gRED., • Work on existing projects and generate new project ideas. Qualifications: • PhD in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS with 3+ years of industry experience., • Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)., • Record of achievement, including at least one high-impact first author publication or equivalent., • Excellent written, visual, and oral communication and collaboration skills. Additional Desired Qualifications: • Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit). Previous focus on one or more of the following: • Molecular property prediction., • Computational chemistry., • De novo drug design., • Medicinal chemistry., • Small molecule design., • Self-supervised learning., • Geometric deep learning., • Bayesian optimization., • Probabilistic modeling., • Statistical methods., • Public portfolio of computational projects (e.g., GitHub). The hiring range for this position is $70 to $80 hour. The base pay actually offered will take into account internal equity, and may also vary depending on candidate's geographic region, job-related knowledge, skills, and experience amongst other factors Harvest Technical Services is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or any other federal, state, or local protected class. #ZR

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie Interns. The CMC Biologics Drug Substance organization is a team of scientists driving scientific excellence and process development through innovative solutions. They are responsible for all Chemistry, Manufacturing, and Control (CMC) cell line and bioprocess development activities for AbbVie's early-stage and late-stage products. As an intern, you will have the opportunity to learn and work on key aspects of developing fundamental scientific understanding related to AbbVie's projects and processes, including exposure to innovative projects like applying machine learning (ML) techniques to build predictive models for our cell culture processes and improve our process development workflow. Key responsibilities include: • Develop and implement ML methodologies to build a hybrid model for predicting optimal outcomes in our cell culture processes., • Exercise significant independence in selecting modeling approaches, frameworks, and evaluation strategies for establishing a predictive hybrid model., • For the duration of the internship, take co-ownership of the project’s modeling life cycle, from data exploration and feature engineering to model validation and interpretation of the results., • If time permits, collaborate with senior scientists to design and execute cell culture experiments to generate data for model refining and additional model validation., • Present findings and progress to the department, effectively communicating methodologies, results, and potential impacts., • Learn and understand various aspects of cell culture process development, integrating computational approaches to enhance timelines and outcomes. Qualifications Minimum Qualifications • Currently enrolled in university, pursuing PhD in Computer Science, Statistics and Applied Mathematics, Computational Biology, Bioinformatics, Chemical Engineering, Data Science, or other related fields., • Solid understanding of ML methodologies, ML frameworks (e.g., Sci-kit Learn, TensorFlow, PyTorch), and statistical methods., • Demonstrate programming competency for model implementation in Python or an equivalent language., • Expected graduation date between December 2026 – Dec 2027., • Prior experience in developing and implementing ML models for biological data is highly desirable. Applied modeling experience from your own academic research or lab projects that go beyond standard coursework., • Proficiency with data visualization tools such as Matplotlib or Plotly to communicate model findings is a plus., • Effective writer and communicator with ability to interact effectively with interdisciplinary scientists and engineers., • High attention to detail, creativity in problem solving, strong interpersonal skills. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: Benefits and Amenities: * Competitive pay * Relocation support for eligible students * Select wellness benefits and paid holiday / sick time * Break rooms stocked with complimentary coffee, tea, beverages, snacks, and cold breakfast items. * Onsite café and fitness center. * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the timeof this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, andwe may ultimately pay more or less than the posted range. This range may be modified in the future. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus,commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolutediscretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description "All candidates must be directly contracted by ASK Consulting on their payroll and cannot be subcontracted. We are unable to provide sponsorship at this moment". Job Title: AWS Devops Engineer Location: South San Francisco, CA (Hybrid) Duration: 12 Months PR: $80-86/hr on W2 AI Working Model: Hybrid (3 onsite, 2 remote - anchor days Tuesdays and Thursdays) Job Description: Minimum Requirements: • 3+ years of DevOps experience with cloud platforms, specifically AWS (EKS, RDS, EC2)., • Experience with caching and data store technologies like Redis., • Proficiency in scripting languages such as Python, Bash, or Go., • Hands-on experience with containerization (Podman, Docker) and container orchestration (Kubernetes, Helm Charts)., • Experience with CI/CD pipelines and automation tools (GitLab CI, GitHub Actions)., • Proficiency in Infrastructure as Code tools (Terraform, CloudFormation) and GitOps (Argo CD)., • Experience with monitoring and observability tools (Portkey, Prometheus, Grafana, ELK stack)., • Experience with cloud data warehousing / analytics platforms (e.g., Snowflake, BigQuery, Redshift)., • Proficiency in full-stack application development., • Knowledge of system administration, particularly with Linux., • Experience with security best practices and compliance frameworks., • Strong incident management and root cause analysis skills., • Bachelor's degree in Computer Science, Engineering, or a related field. The Position: • The Early Clinical Development (ECD) department is seeking a talented and motivated, • DevOps/Infrastructure Engineer to report to the Software Engineering leader within the, • Clinical Data Insights & Automation (CDI&A) team., • The CDI&A team partners with a wide range of stakeholders including Clinical Science,, • Clinical Operations, Medical Writing, Quality, and Regulatory to create industry-leading, • solutions for highly complex business problems., • We are looking for someone with a, • high degree of ingenuity and creativity to help design and pilot software products while, • keeping a finger on the pulse of the rapidly changing tech and healthcare landscapes., • This role will be primarily responsible for building, deploying, and maintaining the, • infrastructure for cutting-edge software that leverages generative AI models and, • applications., • You'll work closely with data analysts, full-stack developers, and others to, • ensure the reliability, scalability, and security of our innovative solutions., • Your work will directly impact our ability to deliver AI-driven tools that solve complex problems and, • Build our DevOps foundation: Architect and maintain the infrastructure that, • powers our next-generation applications and integrates with large language, • models., • Work with a cutting-edge tech stack: Utilize container orchestration, cloud, • platforms, and ML pipeline automation to build scalable systems., • Collaborate with experts: Work closely with data scientists and machine learning, • engineers to ensure seamless model deployment and optimal performance at, • A seasoned DevOps/Infrastructure Engineer with a passion for automation and a, • deep understanding of CI/CD principles., • A problem-solver who thrives on tackling complex technical challenges related to, • application deployment, service reliability, and system scalability., • Someone with hands-on experience with cloud platforms and containerization, • technologies, skilled in managing large-scale distributed applications Preferred Qualifications: • Experience with microservices architecture and managing distributed systems., • Experience with DevSecOps practices and security scanning tools., • Experience with database administration and management, including, • performance tuning, backups, and disaster recovery., • Experience with cloud cost optimization strategies, performance engineering,, • and application optimization., • This position is required to be on-site 3 days / week in South San Francisco, CA About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Our Team Visa Research is a research organization part of the company's effort on expanding its technology research capabilities globally. We conduct both applied and fundamental research while engaging with the company's technology and product teams, business partners, academics, and governments, to explore and develop technologies that are critical to the payments industry in the future. Artificial Intelligence Our mission at the Artificial Intelligence team is to unlock the hidden value in these massive high-quality financial data and decode the language of transactions to drive innovation in the payment industry and beyond. We conduct applied research in machine learning and related fields to deliver unique insights and capabilities to our partners and clients to help them grow their businesses. Our research areas include deep learning applications in financial data, supervised and unsupervised representation learning, predictive modeling for fraud and risk management, consumer behavior modeling, recommendation systems, payment foundational models, scalable machine learning systems, privacy preserving data analytics, and related fields. Job duties and projects could include: • Design and implement efficient and scalable machine learning/Artificial Intelligence algorithms, • Leveraging large language models in applications, improving them via techniques and find ways to integrate to Visa data, • Improving the workflow of model training and serving, data pipelines and resource management, • Connecting cutting edge academic research with user-facing next generation products, • Integrate data processing and training pipelines with big data infrastructure., • Develop proof-of-concept prototypes with fast iteration and experimentation., • Develop and maintain software design documentation, test cases, and performance evaluation., • Works within an agile software engineering methodology and collaborative team development architecture., • Deliver high-impact intellectual property values through research publications and patents • Collaborate with team members to deliver innovative technologies, insights and products to Visa business units to resolve their significant product pain-points and create new growth opportunities, • Transaction Generation for Merchant Category, • Truthful LLMs via RAG, • Efficient Transformer, • Distributed training architecture for large modelsQualifications Basic Qualifications • Students pursuing a Ph.D. with a graduation date in December 2026 or later, • A track record of strong research results as demonstrated by papers in reputed journals and conference proceedings, patents, and presentations at conferences, • AI/Data Analytics: research experience with Deep Learning, Machine Learning, Scalable GenAI, Large Language Model, Advance AI research, and Fine Tuning LLM, • Strong verbal and written communication skills and an eagerness to collaborate with members of your team as well as other Visa teams., • Hands-on experience with large scale model training including data preparation and model parallelization., • Proficiency with object-oriented programming languages, such as Python, C++, Java or equivalent languages, • Experience with large scale data processing using Hadoop and MapReduce is a plus, • Demonstrated ability to think outside the box and innovate., • The ability to take on challenges and address problems head-on, • Strong ability to collaborate, • Highly driven, resourceful and results oriented, • Good team player and excellent interpersonal skills, • Good analytical and problem-solving skills, • Demonstrated ability to lead and navigate through ambiguity Additional Information U.S. APPLICANTS ONLY: The estimated hourly range for a new hire into this position is $62/hr to $68/hr which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. Work Hours: Varies upon the needs of the department. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description The Biologics CMC Development team at AbbVie has a long and rich history of biologics development. Now located in a new state of the art facility in South San Francisco, the team leverages its comprehensive end-to-end CMC capabilities to work collaboratively through all phases of CMC development with a primary focus on advancing biologic therapies, such as monoclonal antibodies, bi-specifics and novel modalities, to human clinical studies and eventual licensure. This role will be imbedded in a team of highly experienced scientists and managers who have directly enabled the development/IND submissions of 20+ novel oncology drugs and successfully filed two BLAs. The Cell Culture Development Group in South San Francisco, CA is seeking a Senior Scientist I to join a talented and collaborative team to 1) develop and implement machine learning models for predicting optimal cell culture process performance and 2) develop robust, phase-appropriate cell culture processes for drug substance GMP production to enable human clinical studies and eventual licensure cell culture. As a senior scientist, you will be responsible for all aspects of ML model development and CMC cell culture program deliverables and help drive drugs substance cell culture development strategy though program lead assignments in cross-functional CMC teams. This position is an onsite role in a lab-based function. To be successful, candidates must enjoy and thrive in an onsite, highly collaborative lab environment with face-to-face cross-functional interactions between scientists. In this position, you will perform cell culture process modeling, cell culture process development, scale-up, and technology transfer activities in a well-supported and dynamic environment to help advance novel biotherapeutics into human clinical studies. KEY RESPONSIBILITIES: • Develop, implement, refine, and validate machine learning (ML) models for predicting cell culture process performance, • Communicate model findings and suggest experimental strategy and/or workflow improvements to support early- and late-stage development, • Design and execute scalable ambr250, 2L, 50L, 200L and 500L single use bioreactors processes, • Design scalable inoculum expansion and master cell bank generation processes, • Design and execute small scale and pilot scale depth filtration and centrifugation primary recovery processes, • Lead the tech transfer of cell culture and primary recovery processes to GMP manufacturing facilities in other locations, • Provide person-in-plant support at the GMP manufacturing facility, • Represent the cell culture development group in cross-functional meetings and collaborate closely with cell line, purification, analytical and formulation development leads to meet project deliverables and timelines, • Author and review technical reports, GMP campaign summary reports and relevant sections in regulatory filings, • Actively seek out opportunities to optimize our platform or enhance our understanding of cell culture processes, • Publish or present scientific findings in peer-reviewed journals, internal or external conferences or consortia, • Display effective organization, verbal written communication skills, and adherence to good documentation practicesQualifications Basic Qualifications: • Scientific degree in computer science, statistics and applied mathematics, computational biology, bioinformatics, data science, chemical engineering, bioengineering, biotechnology, or a related field, with BS or equivalent education and 10+ years of experience, OR MS or equivalent education and 8+ years of experience, OR PhD and 0+ years of experience, • Must have industry or research experience in developing, implementing, and validating ML models, • Must have a strong understanding of statistical methods, ML methodologies, and ML frameworks (e.g., Sci-kit Learn, TensorFlow, PyTorch), • Must demonstrate programming competency for model implementation in Python or equivalent, • Must have experience in data visualization tools (e.g., Matplotlib, Plotly) to communicate model finding, • Proficient in aseptic technique, • Basic understanding of mammalian cell and molecular biology and cell culture bioprocess engineering concepts, • Experienced in developing and executing mammalian suspension cell culture processes in shake flasks, ambr250, and/or 2L bioreactors, • Strong attention to detail; active and quick learner; able to change course quickly as needed; raises the bar and is never satisfied with the status quo; open to suggestions and embraces the ideas of others; collaborative actively builds relationships with others, • Experienced in authoring peer-reviewed publications, technical reports, regulatory documents, and/or presentations at conferences, • Prior experience in developing and implementing ML models for biological data is highly desirable, • Experience in implementing transfer learning is highly desirable, • Expertise in programming (e.g., Python, Javascript, C++), • Experience in CMC cell culture process development is highly desirable, • Demonstrated scientific aptitude through authorship of peer-reviewed publications, • Strong understanding of design of experiments (DOE) Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. Role: The Corporate Applications Engineer is the key bridge between development engineering and hands-on users in the field. The CAE will [1] lead technical customer support initiatives in collaboration with field application engineers, Business Development, Product, and Engineering teams; and [2] develop supporting applications materials to support the use of Quadric product. This position requires exceptional technical depth, strong coding capabilities, and advanced troubleshooting skills to develop customer demos, benchmarks, and reference implementations using Quadric's SDK. This senior technical role demands expertise in system architecture, algorithm optimization, and the ability to provide technical leadership across global FAE teams. Candidates must demonstrate deep technical mastery of Quadric's product ecosystem including HPC Hardware (IP, Chips, Boards), SDK, and various algorithms (NN, DSP, Vision, Path Planning, etc.). Responsibilities: • Develop reference implementations, demos, and benchmarks using Quadric's SDK to showcase product capabilities and performance, • Provide technical leadership and support to field application engineers worldwide, • Design and implement optimization strategies for customer applications on Quadric's platform, • Work with Business Development to articulate technical value propositions to potential customers, • Analyze complex customer technical requirements and architect optimal solutions leveraging Quadric's technology, • Create detailed technical documentation, application notes, and implementation guides, • Develop and deliver advanced technical training for customers and internal teams, • Collaborate with Product and Engineering teams to influence product roadmap based on customer needs, • Troubleshoot complex system-level issues and develop solutions in collaboration with Engineering, • Stay current with industry trends, competitive technologies, and emerging applications, • Bachelor’s or Master's in computer science and/or Electronics Engineering field., • Minimum 3+ years experience working with customers/business development supporting SDKs., • Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision., • Proficiency in Python., • Experience describing, building, running and deploying Docker containers., • Experience with Linux or Unix based operating systems., • Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite., • Experience quantizing, running and debugging neural networks with PyTorch/ONNX runtime a plus., • Experience supporting parallel C / C++ languages a plus (CUDA, OpenVX, NEON, etc.), • Solid understanding of intermediate git concepts such as branching, rebasing, merge conflict resolution, etc., • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development, • Work From Home, • Free Food & Snacks, • Stock Option Plan

Job Description Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. Role: The Full-Stack Engineer is key to making the Quadric product and toolchain easily accessible and usable via a webplatform (also known as "DevStudio"). The Full-Stack Engineer will [1] implement new features for the webplatform in collaboration with Business Development, Product, and other Engineering teams; and [2] help debug and fix issues in the webplatform and relay toolchain issue to the appropriate Engineering team. This position requires exceptional technical depth, strong coding capabilities, and advanced troubleshooting skills to succesfuly build the webplaform around Quadric's toolchain and Product requirements. Candidates must demonstrate strong technical mastery of advanced concepts for building and operating complex systems including distributed services, failure recovery and proper system telemetry and observability techniques. Responsibilities: • Take product requirements and implement features/systems to satisfy those requirements, • Provide webplatform support to field application engineers worldwide, • Create detailed technical documentation, application notes for new webplatform features, • Collaborate with Product and Engineering teams to influence product roadmap based on customer needs, • Bachelor’s or Master's in computer science or equivalent knowledge, • Minimum 3+ years experience working on full-stack web applications, • Excellent writing and communication skills, • Expertise in Golang, • Proficiency in DBMS (PostgreSQL), • Experience with caching systems (Redis), • Experience describing, building, running and deploying Docker containers, • Experience with Linux or Unix based operating systems, • Experience with building distributed systems, • Experience with maintaining hosting infrastructure, • Basic design ability including knowledge of UI/UX and basic prototype design, • Experience in front-end technologies (JavaScript, CSS3, HTML5) and third-party libraries (ReactJS), • Solid understanding of intermediate git concepts such as branching, rebasing, merge conflict resolution, etc., • Ability to methodically debug problems, relay information to other engineering teams, and test and deploy changes to the webplatform Nice to haves: • Experience with Python, • Experience with Nomad scheduler and orchestrator, • Experience developing desktop/CLI applications, • Experience managing self-hosted bare-metal compute resources, • Provide competitive salaries and meaningful equity, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Work From Home, • Free Food & Snacks Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21. • Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Job Description Who we are At PrognomiQ, we aim to transform healthcare by generating and using systems biology data to develop and commercialize tests for early detection and treatment of cancer and other complex diseases. PrognomiQ leverages leading proteomics technology, including the Proteograph product suite from Seer, as part of a multi-omics platform that provides an unprecedented molecular view of health and disease. We are a team of experienced and accomplished scientists supported by a group of leading investors in healthcare and technology. Would you like to be part of a team that is at the leading edge of molecular data generation and analyses that changes how cancer and other complex diseases are detected and treated? Do you aspire to be on the cutting edge of ‘omics technology and data science development? Are you looking to be part of a world class scientific team striving to bring disruptive solutions to market? Do you thrive in an environment of cross-functional disciplines and innovation? Description of role The data science team at PrognomiQ is seeking aData Scientist to drive and contribute to experimental design, statisticalanalysis, and research in applying machine learning methods to discover and validatedisease-specific signals from a number of different molecular sources forproduct development. You’ll work within a highly interdisciplinary group,uniting both lab and computational scientists with a broad range of expertise(genomics, proteomics, etc.) in order to implement these methods into novelproducts that integrate multiple signals into a unified disease detectionmodel. The successful candidate will have opportunities to participate inmulti-disciplinary teams impacting cancer diagnostic products. PrognomiQ is combining the breakthrough advances in multi-omic profiling of biological samples with cutting edge AI/ML technologies in order to revolutionize non-invasive diagnostics. Highly motivated experts passionate about the life-saving potential of innovative new diagnostic technologies such as yourself will be critical to our success. Duties: This is an on-site or hybrid work position with expectations of being on-site a few times a week. • Research and apply novel methods to extract disease-specific features from high-dimensional data, improving classification performance in cancer diagnostic platforms., • Support experimental design for product development with statistical requirements based on clinical regulatory guidelines., • Drive data analysis with statistical methods and support a high-impact data-driven make-decision., • Work within cloud infrastructure environments, e.g., Amazon Web Services (AWS) to implement code logics and collaborate with software engineers to incorporate codebase to production pipelines as needed., • Document results of analyses and investigations in a reproducible manner and communicate insights to both experts and non-experts., • M.S. degree in computer science, data science, mathematics, statistics, bioinformatics, or related fields, or equivalent practical experience (Ph.D. preferred), • 3+ years of experience in the related field, • Strong programming skills in languages like Python, R, C#, JavaScript for data analysis and modeling, • Experience in working with high-performance computing environments (AWS preferred), • Demonstrated skills in proper experimental design, troubleshooting challenges, and interpreting complex data, • Strong problem-solving skills and ability to work independently and collaboratively across multi-functional teams., • Experience working in a clinical, diagnostics, or biotech environment., • Understanding of statistical methods in regulatory and compliance frameworks such as CLIA, HIPAA, and 21 CFR Part 11. PrognomiQ is an equal opportunity employer that celebrates diversity andinclusion in the workplace. We prohibit discrimination and harassment of anykind based on race, color, sex, religion, sexual orientation, national origin,disability, genetic information, pregnancy, or any other characteristicprotected by law. This policy applies to all employment practices within ourorganization, including hiring, recruiting, promotion, termination, layoff,recall, leave of absence, compensation, benefits, training, and apprenticeship.

Job DescriptionAbout Zipline Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda's national blood delivery network and Ghana's COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain. Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people. About You and The Role At Zipline, we're shaping the future of safe airspace navigation and building the world's largest autonomous delivery system. We're looking for senior machine learning and perception engineers to help define the state of the art in aircraft and obstacle detection and tracking — enabling our drones to safely and autonomously navigate complex, dynamic environments. What You'll Do • Advance the Frontiers of Perception: Design and deploy cutting-edge algorithms to detect, localize, and track aircraft and tall obstacles using monocular and multi-view camera systems — combining deep learning with geometric vision to achieve robust 3D situational awareness at scale., • Engineer Reliable Vision Systems: Develop scalable model training pipelines and build rigorous evaluation frameworks that capture real-world performance across edge cases and long-tail scenarios., • Integrate Across Systems: Collaborate with systems, flight test, and validation teams to design end-to-end test plans that push perception to the edge of capability — and beyond Zipline's strict safety and reliability standards., • Own Operational Performance: Create powerful debugging, visualization, and analysis tools that drive insight from field data, enabling rapid triage and root-cause analysis of perception issues in live deployments., • Learn Fast, Iterate Faster: Leverage simulation and real-world feedback to continuously refine both ML models and classical tracking algorithms — improving accuracy, latency, and robustness in challenging operational conditions., • 8+ years of professional experience crafting and deploying sophisticated perception systems for autonomous robots, aircraft, or vehicles., • Expertise in state-of-the-art deep learning models, specifically focused on object detection and tracking, honed through real-world deployments., • Deep knowledge of geometric computer vision techniques, including stereo vision, depth-from-motion, structure-from-motion, and visual odometry, for precise depth and 3D position estimation., • Innovative mindset and practical problem-solving skills, demonstrated by a proven track record of overcoming performance bottlenecks and resolving operational edge cases., • Hands-on experience supporting commercially operated autonomous systems, including diagnosing issues and enhancing system reliability in live environments. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Job Description Chooch helps build and run the best Computer Vision AI applications that make cameras intelligent, enhancing productivity & revenues, while reducing operational costs. Chooch has been named a leading computer vision platform by IDC. Role Description We are looking for a Customer/Sales Engineer (US-based) to join our team. This is a full-time role that will have a pivotal impact in bridging technical expertise with customer success, enabling sales through impactful presentations, product demonstrations, proof-of-concepts, and hands-on technical guidance. This role involves frequent collaboration with account executives, customers, and technical teams to deliver compelling solutions that align with business needs and drive adoption of our AI technology. The Solutions Engineer must thrive in customer-facing environments, feel comfortable with travel for on-site engagements, and bring strong technical depth combined with excellent communication and presentation skills. This role is ideal for someone who can explain complex technologies simply, while also engaging in detailed technical problem-solving with customer teams. Key Responsibilities • Pre-Sales Support: Lead customer interaction from a technical perspective from pre-sales to implementation. Understand customer requirements, design tailored solutions, and present technical value propositions., • Customer Presentations & Demos: Deliver compelling on-site and virtual presentations, live product demonstrations, and solution workshops that showcase the capabilities of our technology., • Proof-of-Concepts: Lead technical evaluations and pilots, working hands-on with customer teams to validate use cases and accelerate adoption., • Travel & On-Site Engagements: Engage directly with customers on-site (including travel to Fortune 500 client locations) to assess environments, provide technical recommendations, and ensure solution success., • Cross-Functional Collaboration: Work closely with product, engineering, and solutions teams to translate customer needs into technical features and roadmap insights., • Solution Design & Documentation: Create solution architectures, deployment plans, and technical documentation that support sales cycles and customer success., • Relationship Building: Establish trust with customer technical stakeholders, becoming a trusted advisor throughout the sales process and beyond. Requirements • Strong technical background with experience in AI, computer vision, or machine learning solutions., • Experience supporting product teams through technical discovery, demos, and proof-of-concepts., • Excellent presentation, communication, and interpersonal skills with both technical and business audiences., • Familiarity with cloud platforms (Azure, AWS GCP), containerization (Docker, Kubernetes), and modern deployment practices., • Strong problem-solving skills with the ability to tailor solutions to customer needs., • Comfort with travel for customer meetings, site visits, and technical workshops., • Experience creating technical documentation, proposals, and solution architectures., • Ability to work independently while collaborating closely with sales, product, and engineering teams. Chooch offers extensive benefits including health, dental, vision insurance, 401K with 3% match, extensive PTO, and life insurance policies included.

Job Description Our client, a world leader in diagnostics and life sciences, is looking for a "Machine Learning Engineer” based out of South San Francisco, CA (Hybrid). Job Duration: Long term Contract (Possibility Of Further Extension) Pay Rate : $78/hr on W2 DOE Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K We are looking for talented Machine Learning Engineer to join Prescient Design, a division devoted to developing structural and machine learning-based methods for molecular design within client’s Research and Early Development (gRED) organization. The successful candidate will manage projects deploying new techniques for machine learning-based molecular optimization for the analysis and design of small and large molecule drugs within target-driven design campaigns. Special focus will be given to engineering pipelines for probabilistic molecular property prediction and Bayesian acquisition for active learning-based drug discovery. Additional activities may extend to include engineering pipelines for molecular generative modeling. Qualifications: • PhD in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS with 3+ years of industry experience., • Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)., • For this role, we are seeking candidates with significant experience in at least one of the following areas, and ideally some experience in one or more of the others, listed in order of importance: Molecular property prediction, Probabilistic modeling/inference, Bayesian optimization or active learning, Production software engineering or pipeline optimization, Cheminformatics. In addition to these skills, strong software engineering experience is required. If interested, please send us your updated resume at /

Job Description Summary Description: Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented Senior Staff ASIC Design Engineer to take on a critical role with expansive responsibilities to enhance the Hardware Engineering function in a growing organization. As Digital ASIC Design Engineer, you will be a key player in the ASIC R&D team. You are presented with a unique opportunity to be part of the complete digital ASIC design flow, from specification and modelling, implementation and verification, to synthesis and silicon bring-up. Further, you will play an important role in supporting complex failure analyses to ensure smooth ramp-ups and high-volume production. Specific Duties and Responsibilities: • Architect & implement Syntiant’s next-generation Neural Digital Processor (NDP) for low-power edge AI applications., • Work closely with Machine Learning (ML) team to analyze, map & co-optimize state-of-the-art neural network models to Syntiant’s current and next-generation NDP engine., • Create power and performance profiling tool for NDP engine., • Lead PPA (Power/Performance/Area) tradeoff analysis to improve design. Qualifications, Education, and Experience Required: • Minimum Masters degree in electrical engineering, PhD preferred ., • A proven track record of 5+ years in developing low-power signal processing IPs from architecture to implementation., • Hands-on experience developing IPs using SystemC HLS (High-Level Synthesis)., • Good knowledge and experience in architecture/design of NPUs., • Good knowledge in ML network architecture (Dense, CNN, RNN, Transformer, etc)., • RTL implementation of Digital Signal Processing algorithms, using Verilog or System Verilog., • Implementation of test benches and digital verification methods., • Experience in PPA (Power/Performance/Area) optimizations., • Programming/scripting languages (e.g., Python, C/C++, or Perl)., • Task centered, self-driven, persistent, and team oriented. Benefits Summary: • Medical: Several plan options including PPO and HSA-compatible plans from Anthem Blue Cross, most of which are 100% paid by Syntiant Corp. for you and your family., • Dental: Company-paid dental PPO coverage from MetLife, including coverage for Orthodontia., • Vision: Company-paid vision PPO coverage from MetLife / VSP., • Life Insurance / AD&D: Company-paid basic Life / AD&D coverage in the amount of 3x your salary (up to $1,000,000). Additional supplemental life insurance with low group rates is available for yourself and your family., • Disability Coverage: Company-paid Short Term and Long-Term Disability coverage provides up to 60% income replacement protection., • Spending and Savings Accounts: Flexible Spending Account (FSA) benefits for Health Care and Dependent Care. Health Savings Accounts (HSA) for those enrolled in a qualified Medical plan., • 401K Retirement Plan: Administered by Empower, the 401(k) plan allows you to plan for your future by investing a portion of each paycheck. Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting . One element in our total compensation package is base pay. The starting base pay for this role is targeted to be between $165,000 - $185,000, in addition, this role is eligible for our annual incentive plan bonus at 10% of base. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.

Job DescriptionLocation Algorithm EngineerLocation: Belmont, CA (hybrid)Employees: <50Industry: Wireless servicesPosition Reporting To: Principal Engineer Dynamic Bay Area startup is seeking a Wireless Location Algorithm Engineer tasked with designing, optimizing, and implementing advanced signal processing techniques and location estimation algorithms. This work will help determine the real-time positioning of devices in dynamic environments. Most Important Responsibilities: • Develop algorithms to extract highly accurate timing and spatial data from wireless signals in complex environments., • Create both physical and virtual test setups to assess system components and ensure their performance in controlled scenarios., • Acquire in-depth knowledge of operating principles and actively contribute to knowledge sharing within the team., • Continuously analyze and improve existing location estimation methodologies, adapting them to meet the latest industry trends and standards. Required Experience and Skills:, • PhD in Electrical Engineering, or equivalent research experience, specializing in wireless communications., • 3+ years of industry experience in location based wireless engineering., • Comprehensive knowledge of wireless communication systems and protocols, particularly those in the IEEE 802.11 series., • Expertise in wireless channel modeling and the effective use of Channel State Information (CSI)., • Familiarity with key concepts like modulation schemes, coding techniques, spatial stream diversity, cyclic shift diversity, multipath interference, beamforming, and angle of arrival., • In-depth understanding of Time Difference of Arrival (TDoA) and other location-based techniques., • Solid grounding in time synchronization techniques and their practical applications., • Proficiency in Linux-based development environments and command-line tools., • Strong programming skills in Python, with hands-on experience using libraries such as NumPy., • Familiarity with version control, particularly GIT., • Adherence to best practices in software development, including modular design, interface abstraction, unit testing, and managing version compatibility. Preferred Skills:, • Knowledge of RF certification bodies and understanding of relevant regulatory standards., • Practical experience with RF hardware design or system interfacing., • Background in modeling uncertainty in complex systems., • Exposure to machine learning techniques in Python, including GPU optimization., • Experience with adaptive filtering techniques., • Expertise with adaptive filtering techniques., • Expertise in modeling 3D wireless channels using ray tracing or similar advanced methods., • Advanced Python skills, including classes, asynchronous programming, and list comprehensions., • Experience with embedded systems or real-time programming environments., • Proficiency in MATLAB for simulation and modeling purposes. Featured Benefits: Medical, Vision, Dental, Stock OptionsCompensation: $150 – $190K + Stock Options

MS or PhD in Computer Science, Machine Learning or related field.

Expanding data sources: Finding and integrating more novel data to increase model performance on backtests and real-world assessments. Proprietary models and datasets - This helps us avoid the race to the bottom faced by many other AI companies.

Experience in designing and implementing data engines for collecting and managing training data. Must have BS/MS in Computer Science or related field with a strong programming background.

MS or PhD in Computer Science, Machine Learning or related field.

Job Description Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. What We Value: Integrity, Humility, Happiness What We Expect: Initiative, Collaboration, Completion Role: Reporting directly to the VP, Engineering, you will own the entire software team and will be responsible for execution on Quadric's Chimera SDK ( ). Join us in our shared vision of shipping world class model optimization and compilers for AI inference where it matters most—on the factory floor, in the vehicle, across consumer devices and enterprise. Responsibilities • Own end-to-end delivery of the software stack: SDK, graph compiler, kernel libraries, and developer tooling., • Set technical direction and a multi-release roadmap for compiler, kernels, and SDK; align with silicon, architecture., • Own the inference optimization stack (Quantization -> Compile -> Accelerated Performance) on Chimera architecture for Vision Models, LLMs, VLMs etc., • Build and track execution plans, milestones, and KPIs (operator coverage, latency/throughput, accuracy deltas, compile times)., • Manage and mentor an engineering org (managers + ICs), grow the team, and develop leaders., • Be hands-on for critical designs, reviews, and code—especially around IR design, codegen and kernels., • Partner with customers and field teams to unblock POCs, prioritize the roadmap, and drive production wins., • Proven track record shipping a production SDK + compiler stack for an ML accelerator, GPU, or NPU., • 5+ years experience in managing teams building compilers/ML systems, including 10+ years leading multi-disciplinary teams of ~30+ engineers., • Excellent communication and stakeholder management; comfortable with customer escalations and field feedback loops., • Data-driven program leadership: roadmap/OKRs, dependency/risk management, budget/headcount planning, and executive reporting., • Demonstrated success hiring, coaching, and performance-managing managers and senior ICs; culture builder., • Ability to translate product goals into compiler/KPI plans., • Knowledge of graph compilers and kernel development: MLIR/TVM/StableHLO/HLO, LLVM, scheduling, codegen., • Familiarity with quantization techniques: PTQ/QAT, per-tensor/per-channel schemes, symmetric/asymmetric, calibration datasets, accuracy/perf trade-offs., • Strong C++ and Python fundamentals; performance profiling, vectorization, memory hierarchies, and concurrency., • Provide competitive salaries and meaningful equity, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity) Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21. • Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Job Description REDWOOD CITY SCOOL DISTRICT LICENSED VOCATIONAL NURSE RCSD takes pride in our dedicated workforce and strong connection with our students, families, and community. Our highly dedicated and skilled team of professionals provides a safe and supportive, inspirational and rigorous, joyful and inclusive environment for all learners. We are looking to build our workforce with a staff who share this vision and want to instill passion in learning emphasizing student strengths and gifts for all learners: all abilities, all ethnicities and cultural identities, LGBTQ+ youth, and multilingual learners. DESCRIPTION OF POSITION: Under the supervision of the Director of Special Education and the District Nurses, the Licensed Vocational Nurse provides direct clinical care to meet the health needs of students, documents and maintains students’ health information required by federal/state/local agencies, and provides appropriate care for ill, medically fragile, and/or injured students, as required. DUTIES AND RESPONSIBILITIES: • Performs work under the direction of a school nurse carried out in accordance with provisions of the LVN license;, • Administers medication (including necessary injections) to students in accordance with state laws and county policies and procedures;, • Works with school nurse in providing support to school staff concerning health needs of individual students (e.g. students with diabetes, seizures, asthma, severe food allergies, etc.);, • Performs treatment to students as a result of illness, injury, seizure, or medical problems occurring at school;, • Performs a variety of medically-oriented specialized health care duties, including administering medication orally or through a g-tube, administering g-tube feedings, suctioning trachea and/or student nose and mouth, timing, monitoring and maintaining records of student seizures;, • Assists school nurse (e.g. documents medications, weight and height documentation, physical exams) for the purpose of providing hearing and/or vision screening and/or verification of medication;, • Responds to emergency situations involving students when injury or health issues are involved;, • Cleans work areas (e.g. sinks, counters, feeding equipment, suction machine, etc.) for the purpose of maintaining a sanitary environment;, • Provides assistance in toileting for a student who needs such assistance in the health office;, • Performs record keeping and basic clerical functions for the purpose of supporting the school site in maintaining students’ health files;, • Prepares documentation (e.g. immunization certificates, medical emergency cards, accident reports, inventory supplies, orders, etc.) under the supervision of the school nurse;, • May attend IEP meetings with the school nurse;, • Performs related duties as assigned. KNOWLEDGE AND ABILITIES: Knowledge of the following: Standards of Excellent service; methods and practices of performing routine nursing procedures and care of medically fragile students, including administering medications, feeding through g-tubes, performing trachea care and suctioning, and giving injections; facial/body language, and other indicators of physical discomfort and distress in a child who is unable to communicate verbally; laws and regulations applicable to the role for the LVN; universal precautions and control of infectious diseases, including handling blood or bodily fluids; safe work practices and safe procedures for performing physical care for medically fragile students; CPR; child abuse reporting requirements and prevention strategies; basic math, including calculation of fractions, percents and/or ratios; write documents following prescribed formats and/or present information before groups. Ability to: Observe and interpret students’ non-verbal communications, including facial expressions, oral sounds, and body language to identify potential problems before they become serious; maintain detailed and confidential student records and files; communicate clearly and effectively in English, both orally and in writing; maintain an understanding of cultural diversity; deal with sensitive and difficult situations; demonstrate intellectual capabilities in order to exercise sound judgment; establish and maintain effective working relationships with supervisor; utilize a wide variety of job-related equipment; problem solve and analyze issues, create plans of action, reach solutions, and know when to contact the school nurse for assistance, ability to lift up to 50 lbs. EDUCATION AND EXPERIENCE: At least one year of experience working with medically fragile children in an organized setting preferred High School Graduation Completion of all coursework in good standing from an accredited college or university required for that institution’s Licensed Vocational Nursing program LICENSES AND OTHER REQUIREMENTS: Applicant will have a current California Vocational Nurse License in good standing and must show a willingness to learn when working with students with special education needs. Valid First Aid and CPR Certificate issued by an authorized agency Valid California driver’s license An Equal Opportunity Employer The Redwood City School District (RCSD) is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. RCSD makes hiring decisions based solely on qualifications, merit, and business needs at the time. The Redwood City School District seeks to employ individuals who represent the rich diversity of cultures, language groups, and abilities of its surrounding communities.

Job Description About Us The Mobility House (TMH) is shaping the zero emissions future of energy and mobility. Our resilient charging technology makes EV charging reliable and flexible, and provides drivers the freedom of zero emissions, zero cost charging. We integrate flexible charging with energy systems to stabilize the electrical grid and free it from fossil fuels. Across Europe, Asia-Pacific, and North America, The Mobility House currently manages more than 2,000 EV fleet charging facilities, charges hundreds of thousands of electric vehicles, and trades power from more than 100 MWh of energy storage. TMH has over 200 employees across its operations in California, Montreal, Munich, Paris, Zurich, and Singapore. For more information visit our website. About The Role We are looking for a Senior/Lead Software developer to help design and influence the software architecture for Vehicle Grid Integration (VGI) solutions in North America. This includes integration with EVSEs via API and OCPP, energy market interfaces such as integration with utilities via OpenADR, services needed to process and execute Demand Response (DR) events, and integration with the optimizer. You will collaborate with the existing Global Product Team working on our ChargePilot software (charge management for fleets) and EV Aggregation Platform. Responsibilities • Collaborate with product managers and fellow developers to plan and deliver features that align with product needs and long-term technical goals, • Technical design and development of services for handling bidirectional charging, utility communication, and real-time demand response execution, • Integrate dispatch planning logic into control pipelines, ensuring plans respect real-world conditions such as state of charge, charger limits, and grid events, • Drive full-stack development efforts, including backend services (TypeScript, Python) and frontend (TypeScript, React) on AWS, • Own the end-to-end software lifecycle: infrastructure-as-code, continuous integration, deployment pipelines, monitoring, and incident response, • Troubleshoot and resolve software issues across the stack in production and development environments, • 5+ years as a full-stack software engineer including backend experience in Python and Typescript, • Residency in United States or Canada and eligibility to work without sponsorship Bonus Points • Deep protocol fluency in OCPP (esp. 2.0.1), OpenADR, or proprietary EV APIs, • Hands-on knowledge of grid-side operations, such as demand response, load forecasting, ISO/RTO markets, or grid telemetry, • Experience building a large-scale cloud application, • Designed and operated event-driven or time-series architectures, • Competitive compensation – $140,000 to $170,000 USD, 22 days PTO, and health benefits (offer details based on factors including skills, experience, and candidate location)., • Growth opportunity – exposure to cutting-edge projects, international partners, and senior leaders., • Team building – we host a company-wide retreat 2x a year + annual team off-sites., • Open feedback culture – we want to grow as people and help each other to do the same., • Learning opportunities – this is a burgeoning industry, and you’ll gain new knowledge and skills every day., • Diversity – our small, multi-cultural team is passionate about The Mobility House’s mission. If you're passionate about driving the future of emissions-free transportation, apply now to join our team! All qualified candidates will receive consideration for employment without regard to race, creed, color, national origin, gender, sexual orientation, or veteran status.

Job Description Manufacturing Test Engineer – Job Description Location: Fremont & San Bruno, CA | Full-time (or Contract-to-Hire) | Minimum 3 Days Onsite Mission The mission for this Manufacturing Test Engineer position is to ensure robust, reliable, and efficient test processes that support both production and product quality. You will play a key role in sustaining Empo Health’s current generation product as it scales from pilot production to higher-volume builds, while also contributing directly to the development of our next-generation products. This is a hands-on role embedded in a small, agile hardware team, working directly on the production line in Fremont and with our Operations, Engineering, and R&D teams. Outcomes (Next 12 Months) ● Stabilize all manufacturing tests and test debug for current production of our 1.0 device ● Rapidly troubleshoot electrical, mechanical, and software test issues on the production line to maintain throughput in close collaboration with our engineering team, identifying root cause and implementing subsequent line improvements ● Train and support production line operators in executing tests and performing first-level troubleshooting. ● Maintain, repair, and improve current test fixtures and automated test systems. ● Suggest and implement test system improvements to increase robustness, reliability, and efficiency. ● Contribute to production scaling efforts - help enable an order-of-magnitude increase in production capacity ● Execute and document Engineering Change Orders (ECOs) related to test procedures and fixtures. ● Diagnose field returns and feed findings into root cause analysis. ● Collaborate cross-functionally to originate and execute verification and validation test plans, ensuring compliance with quality management systems. ● Implement all manufacturing test and test debug for our 1.1 Device, to be released in 6-9 months. ● Implement traceable logging of test results suitable for low- to mid-volume builds (~1000 units per quarter), enabling trend detection and compliance with medical device requirements. ● Help establish a culture of engineering and quality excellence where testing is an integral part of product development and commercialization cycle. Role-Specific Requirements ● 3–7 years of experience in test engineering, manufacturing engineering, or a related role. ● Strong hands-on troubleshooting skills across electrical and mechanical domains. ● Proficiency in Python software scripting , and deployment/revision management (GIT required). ● Exposure to medical device or other regulated product environments (ISO 13485, FDA QSR, IEC 60601). ● Strong experience developing and improving test fixtures and test protocols ● Experience with measurement equipment, and data logging tools. ● Ability to efficiently diagnose and document issues on the production line. ● Excellent documentation and communication skills. ● Degree in Electrical Engineering, Mechanical Engineering, Mechatronics or similar ● Available to work onsite in Fremont (manufacturer) and San Bruno (Empo Health Office) at least 3 days/week, with occasional travel to additional contract manufacturing sites, some of which may be offshore. Additional Desired Experience ● Experience with test automation frameworks, such as RobotFramework or PyTest. ● Exposure to Design of Experiments (DOE) for hardware or system validation. ● Experience supporting sustaining engineering, ECOs, and field-driven changes. ● Experience designing or specifying benchtop or semi-automated test systems that integrate sensors, actuators, and basic firmware interfaces (e.g., I2C, UART, GPIO). ● Familiarity with electrical safety, mechanical interlocks, and ergonomic considerations for operator-facing test stations. ● Ability to implement lightweight, maintainable data logging solutions (e.g., CSV, SQLite, network share, or cloud sheet-based tools) for traceability in a regulated environment. ● Exposure to scripting and automation beyond Python, ideally including test workflows driven by machine vision (PLC programming, LabVIEW, Arduino/C, etc.). ● Experience collaborating with cross-functional engineering teams in fast-paced environments. ● Ability to support next-generation product development, including breadboarding, early-stage testing, and cable harness fabrication as needed. In this Role, Your Key Responsibilities Will be: ● Own testing at Empo Health and set the tone for how testing is approached across development and production. ● Maintain current factory scripts and write new factory scripts. ● Troubleshoot, repair, and improve test systems supporting production builds. ● Maintain and release test documentation in compliance with engineering and quality standards. ● Work with Operations, NPI, quality, and design engineering teams to ensure smooth production and feedback loops. ● Work with cross-functional team to design, build, or oversee assembly of test fixtures that integrate mechanical, electrical, and embedded system components. ● Establish scalable, traceable test workflows tailored to low-volume regulated manufacturing—balancing agility, compliance, and cost. ● Ensure operator-facing test systems include appropriate safety, usability, and troubleshooting features. ● Originate or support verification and validation test protocols for new and existing products. ● Interface with our contract manufacturer, including onsite support for builds and issue resolution. ● Influence and grow the test engineering function as the company scales. Ensure that testing considerations and touchpoints are understood early in the development cycle. About Empo Health Empo Health is a seed-funded, NSF-supported medical device startup developing in-home monitoring tools that expand access to preventive care. Our first product, the Empo Footprint, is a smart scale that scans the bottom of the feet to detect early signs of diabetic foot ulcers. What We Offer ● A small team where you can make meaningful contributions and affect major portions of development and production. ● Opportunity to influence the culture of a small, growing startup while learning from veterans in the industry. ● Hybrid-friendly working environment (with a 3+ day/week onsite expectation). ● “Take what you need” vacation and sick leave policy. ● Generous coverage for medical, dental, vision, and mental wellness plans. ● 12-week parental leave + part-time transition period at full pay. ● Equity incentive options for early full-time employees. Important Note We value diverse backgrounds and perspectives at Empo Health. Even if you don’t meet every qualification above, we encourage you to apply if you believe you’d be a strong fit for the role. You might bring something we didn’t know we needed.

Job DescriptionTigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph's core technology is the only scalable graph database for the enterprise. Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to accelerate their analytics, AI, and machine learning: • Seven out of the top ten global banks use TigerGraph for real-time fraud detection., • Over 50 million patients receive care path recommendations to assist them on their wellness journey., • 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph.

Job Description Company Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. With a combination of enterprise expertise and deep research in the field of AI, Ikigai Labs helps scale enterprises with AI by solving data engineering and modeling problems for business users and data scientists alike. Our unique ability to unlock value in tabular and time series data through AI-powered data harmonization, forecasting, dynamic learning and planning, is our Ikigai, our purpose in the world of AI. As an AI/ML Engineer at Ikigai Labs, you will be part of a high-performing team responsible for optimizing and deploying ML solutions to maximize performance and scalability. We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: • ML Optimization and Deployment: Develop and deploy machine learning models for optimal performance and scalability., • Productivity Tools Development: Build tools and services to enhance the ML platform, utilizing technologies like Kubernetes, Helm, and EKS., • Model Architecture: Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc.) to solve complex problems., • Research Adaptation: Stay abreast of recent ML and deep learning literature and adapt findings to real-world applications., • Collaborative Development: Work with cross-functional teams to integrate AI and ML solutions that drive business value., • Data Handling: Manage large datasets and build ML pipelines for data processing and training., • ETL/ELT Processes: Design and develop scalable data integration processes., • Predictive Modeling Platform: Develop an on-demand predictive modeling platform using gRPC., • Cloud and Containerization: Utilize Kubernetes for managing Docker containers and various cloud services (AWS, Azure) to solve cloud-native challenges., • Languages: Python3, C++, Rust, SQL, • Frameworks: PyTorch, TensorFlow, Docker, • Databases: Postgres, Elasticsearch, DynamoDB, RDS, • Cloud: Kubernetes, Helm, EKS, Terraform, AWS, • Data Engineering: Apache Arrow, Dremio, Ray, • Bachelor’s degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 1+ years of experience, • Strong understanding of data structures, data modeling, algorithms, and software architecture., • Proficient in probability, statistics, and algorithm development., • Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib)., • (Bonus) Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm)., • Proficiency in Python, AWS services, and ETL/ELT pipelines., • Understanding of key software design principles, design patterns, and testing best practices., • Experience with Kubernetes and/or EKS is a plus., • Ability to learn quickly in a fast-paced, agile environment., • Excellent organizational, time management, and communication skills., • Willingness to engage in pair programming, share knowledge, and provide and receive constructive feedback. Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees, regardless of race, color, sex, gender identity or expression, age, religion, national origin, ancestry, citizenship, disability, military or veteran status, genetic information, sexual orientation, marital status, or any other characteristic protected under applicable law. If you are passionate about machine learning and eager to make an impact, we would love to hear from you. Apply today to join the Ikigai Labs team and help us build the future of AI. Powered by JazzHR 5AyLCIATVs

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa USA Inc., a Visa Inc. company, needs a Senior Consultant (multiple openings) in Foster City, CA to: • Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning (ML), data mining and statistical techniques., • Develop predictive and prescriptive solutions, leveraging artificial intelligence (AI), ML and Statistical Process Control (SPC), to monitor and detect various fraud schemes and abnormal transaction activity., • Lead global team of analytical professionals to write the next chapter of Visa’s fraud detection capabilities., • Get to the root of a problem, defining business objectives and formalizing data requirements, especially in a fast paced, fluid environment., • Leverage Splunk extensively for developing, monitoring, and optimizing risk detection solutions, including real-time alerting, batch processing, and advanced analytics to ensure accurate, timely identification of anomalies and efficient reporting to support proactive risk mitigation efforts., • Analyze complex financial data to uncover patterns, anomalies, and insights that support risk assessment and fraud identification., • Oversee the end-to-end lifecycle of anomaly detection platforms, including their design, development, implementation, monitoring, and continuous optimization, to ensure robust identification and mitigation of risks and irregularities., • Collaborate with Product & Technology partners to enhance fraud detection capabilities for improved insights and pattern detection., • Collaborate with Payment Systems Intelligence and Risk Operations Center (ROC) teams to recognize and implement measures to identify and disrupt new fraud and cybercrime threats to the clients enrolled in the Fraud Services program., • Lead multiple projects with vendors and work closely with consultants to ensure project deliverables meet quality standards, align with organizational goals, and are delivered on time., • Work on multiple projects and initiatives with different/competing timelines and demands., • Provide intelligence and technical analysis support to the Global Risk organization to further protect the payment ecosystem., • Provide guidance in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques., • Mentor and train other team members on key solutions., • Position reports to the Employer’s Foster City, California office and may allow for partial telecommuting.Qualifications Basic Qualifications: • Employer will accept a Bachelor's degree in Computer Science, Electronics Engineering, Analytics or related field, followed by 5 years of progressive, post-baccalaureate experience in the job offered or in a consultant-related occupation., • Alternatively, Employer will accept a Master’s degree in Computer Science, Electronics Engineering, Analytics, or related field, and 3 years of experience in the job offered or in a consultant-related occupation., • Position requires experience in the following skills:, • Hadoop and Hive;, • Python., • Automating tasks in Unix/Linux using Shell Script;, • SQL;, • Building systems that can automatically learn and improve from data to perform tasks like predictions, classifications, pattern recognition and fraud detection (Machine Learning);, • PySpark;, • Splunk;, • Tableau;, • Identifying, assessing, and mitigating financial, operational, and security risks associated with payment transactions; and, • Business Analytics, including analyzing data to drive informed decision making, improve business strategies, optimize processes, and identify trends, patterns, and opportunities to enhance performance and competitiveness. Additional Information Worksite: Foster City, CA This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements: This position does not require travel. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $175,490.00 USD to $229,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionAbout ZiplineDo you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda's national blood delivery network and Ghana's COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.About You and The Role The hardware test environment is a multi-disciplinary team responsible for building and maintaining Zipline's engineering prototype fleet. As an Engineering Test Technician, you will work on the build, assembly, and testing of prototype hardware. This role will have you working closely and learning from our design and development teams to review how designs integrate to each other and brainstorm solutions to resolve hardware risks. If you're a self-starter with a strong background in building and testing prototype hardware, and you want to be a part of a team that is making a real difference in the world, then we want to hear from you.What You'll Do • Build test articles at all stages of design maturity. Contribute manufacturability feedback to the design., • Manage multiple prototype builds through various stages of electrical and mechanical tests to ensure performance of critical hardware. Lead electrical checks of fully assembled prototypes to ensure vehicles are flight worthy after assembly., • Troubleshoot hardware and software failures by working closely with Electrical and Embedded Software Engineers., • Brainstorm and prototype fixtures to resolve assembly or maintenance risks., • Collaborate with Structures, Integration, and Mechanism Engineers to identify component issues and develop solutions that ensure our drones operate at the best reliability and performance.What You'll Bring, • Minimum 2 years of professional experience in a build or test technician role., • Experience in prototyping, assembly, or manufacturing of electro-mechanical components., • Experience writing code with Python, Java, or C++, • Ability to model simple parts using CAD software., • High level of craftsmanship and attention to detail married with the ability to work quickly., • Clear communication skills and the ability to explain technical challenges and solutions., • A combination of: soldering, harnessing, machine-shop skills, technical documentation, data analysis., • Must be eligible to work in the US., • Must be able to work in person at Zipline's South San Francisco Headquarters. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

Job DescriptionAbout Zipline Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About the Droid Autonomy Team The Droid Autonomy team owns the entire autonomy stack behind droid package pickup and delivery. This includes perception (understanding the world), the state machine (executing behaviors), and goal planning (deciding where and how to deliver). It's an extremely cross-functional team that brings together expertise in robotics, machine learning, planning, and systems engineering—working as one to make the droid a safe, reliable, and scalable real-world delivery system. The Role • Work hands-on with an autonomous robot operating in the real world — to help expand its capabilities for safer and more reliable deliveries., • Analyze, validate real-world data to understand system performance and identify failure modes and come up with unique solutions., • Design experiments and models that improve the robot's ability to make reliable decisions in messy, unpredictable environments., • Translate insights from validation into actionable improvements that directly impact how and where the robot can deliver., • Collaborate closely with perception, autonomy, and flight testing teams to see how your work connects across the full robotics stack., • Gain experience with the end-to-end process of deploying autonomy at scale—from data, to model, to validation, to live operations., • Currently pursuing a Master's in CS, EE, Robotics, or a related field with a familiarity with learning-based perception.., • Fluent in Python plus solid software practices (willing to learn new languages and adapt)., • Statistical reasoning & validation mindset: able to design experiments, account for bias/variance, quantify confidence, and interpret results to guide decisions., • Structured problem solver: can break ambiguous, real-world problems into hypotheses and executable plans; comfortable making and testing assumptions. The starting cash range for this internship is $44 - 48/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

Job Description TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph's core technology is the only scalable graph database for the enterprise. Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to accelerate their analytics, AI, and machine learning: • Seven out of the top ten global banks use TigerGraph for real-time fraud detection., • Over 50 million patients receive care path recommendations to assist them on their wellness journey., • 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph. The Solutions Team at TigerGraph strives to continuously develop and improve the world's fastest real-time Graph Analytics platform. One key aspect of this continuous improvement is to push this high-performance engine to its limits. Members of the Solutions Team are tasked with developing cutting-edge data products for real-world applications and customers using the core TigerGraph platform tools. An ideal candidate is a passionate problem solver who fearlessly approaches a customer's "impossible" problems and designs exceptional, high-performance solutions that instantly become the cutting edge in real-time data analytics applications. Responsibilities • Lead architecture initiatives from inception to completion, • Collaborate with business users to create solutions aligned with business needs, • Technical subject matter expert, • Help drive and create reusable assets to improve the efficiency, • Work on mid-range to large projects, • Documentation to aid in the understanding of the solution offerings, • Customer health checks, • Engage with pre-sales PoC/PoV to help achieve the technical win, • Industry experience in software development (C++ and/or big data engineering a plus), • Linux OS and command-line experience, • Talent for algorithm design and problem solving., • Enthusiasm for graph algorithms and graph data structure design, • Ability to work independently, manage deadlines and set priorities, • Innovative entrepreneurial spirit to develop new business opportunities, • Passion for the start-up environment, • Customer service and communication skills, • Experienced with implementing solutions in enterprise production environments

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa’s Internship Program provides an immersive, 12-week journey where you’ll work on impactful projects that drive Visa’s mission forward. As a Visa intern, you’ll build valuable connections across the organization, sharpen your communication and business acumen, and gain hands-on experience in a dynamic, global environment. Throughout the program, you’ll have exclusive access to interactive workshops and learning sessions designed to deepen your expertise, expand your industry knowledge, and elevate your professional skillset. You won’t just be learning, you’ll be contributing, collaborating, and innovating every step of the way. In addition to professional development, you’ll enjoy a variety of intern social events that foster community, connection, and fun throughout the summer The experience culminates in an exciting final presentation, where you’ll showcase your project achievements, share key insights, and present your recommendations to Visa’s leaders and stakeholders. This is your chance to demonstrate your business impact, highlight your personal growth, and align your work with Visa’s vision for the future. Our Team Visa Research is a research organization part of the company's effort on expanding its technology research capabilities globally. We conduct both applied and fundamental research while engaging with the company's technology and product teams, business partners, academics, and governments, to explore and develop technologies that are critical to the payments industry in the future. Artificial Intelligence Our mission at the Artificial Intelligence team is to unlock the hidden value in these massive high-quality financial data and decode the language of transactions to drive innovation in the payment industry and beyond. We conduct applied research in machine learning and related fields to deliver unique insights and capabilities to our partners and clients to help them grow their businesses. Our research areas include deep learning applications in financial data, supervised and unsupervised representation learning, predictive modeling for fraud and risk management, consumer behavior modeling, recommendation systems, payment foundational models, scalable machine learning systems, privacy preserving data analytics, and related fields. Quantum Computing and Information Our mission at the Quantum Computing and Information team is to harness the transformative potential of quantum technologies to drive breakthroughs in computation, security, and data-driven innovation for the payment industry and beyond. We conduct applied research in quantum algorithms, quantum machine learning, quantum optimization, and quantum cryptography to tackle complex challenges in fraud detection, risk modeling, secure transactions, and large-scale financial data analysis. Through this research, we strive to deliver capabilities beyond the reach of classical methods, enabling Visa, our partners, and our clients to lead in efficiency, security, scalability, and innovation across global payments. Qualifications Basic Qualifications • Students pursuing a Ph.D. with a graduation date in December 2026 or later, • A track record of strong research results as demonstrated by papers in reputed journals and conference proceedings, patents, and presentations at conferences, • Quantum computing - Experience in one or more of the following areas: quantum algorithms, quantum information theory, quantum optimization, quantum machine learning, quantum cryptography, quantum error correction, quantum complexity theory, quantum simulation, quantum programming languages and compilers, and quantum-inspired classical algorithms., • AI/Data Analytics: research experience with Deep Learning, Machine Learning, Scalable GenAI, and Large Language Model, • Strong verbal and written communication skills and an eagerness to collaborate with members of your team as well as other Visa teams., • Proficiency with object-oriented programming languages, such as Python, C++, Java or equivalent languages, • Demonstrated ability to think outside the box and innovate., • The ability to take on challenges and address problems head-on, • Strong ability to collaborate, • Highly driven, resourceful and results oriented, • Good team player and excellent interpersonal skills, • Good analytical and problem-solving skills, • Demonstrated ability to lead and navigate through ambiguity Additional Information U.S. APPLICANTS ONLY: The estimated hourly range for a new hire into this position is $62/hr to $68/hr which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. Work Hours: Varies upon the needs of the department. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

Job Description PRIMARY FUNCTION: The responsibility of the teacher is to build a positive, engaging, and rich community of learners and to carry out a program of instruction that enables students to utilize skills taught to discover, problem-solve, predict, apply, and be motivated to learn. The program is based on the Hillsborough City School District Essential Outcomes, School Board goals and objectives, and the State of California Standards. Under the direction of the principal, the teacher is responsible for planning and implementing the educational program for their students, for teaching skills, and for providing the opportunity and guidance needed for intellectual, social, emotional, and physical growth. ESSENTIAL FUNCTIONS: Reflects an understanding of learning theory, curriculum guides, and state and local requirements in planning and instruction. Identifies the learning needs of students (style, modality) Develops/utilizes instructional materials and techniques to meet identified needs. Evaluates and records children’s academic and social growth on a continual basis, including completing report cards. Adjusts teaching based on these results. Establishes and maintains standards of student behavior to facilitate learning in an optimum environment. Conducts formal and informal parent conferences to discuss student progress, describe the school program, and answer questions. Communicates informally with parents in meetings, phone conversations, and through email. Provides for the well-being and safety of all students. Collaborates as an effective school team member and district team member. Provides leadership through work on committees, action teams, and by thoroughly engaging in school and district initiatives. Maintains professional competence through in-service, classes, and dialogue and willingly engages in meaningful professional growth activities. Provides a functional and attractive learning environment. Serves as a guide, resource, model, facilitator, and motivator for student learning. Utilizes and embeds technology in the learning environment to enhance learning, to find and assimilate information, create content, demonstrate learning, practice skills, express ideas, and build solutions. Engages students to create, explore, research, curate, publish, write, present, edit, and film while effectively utilizing a myriad of different tools and exhibiting digital citizenship. Utilizes district resources, infrastructure, training, and support to adapt to new technologies that can contribute to effective learning and teaching. Stays current on new instructional techniques and technologies and their use in the classroom and is willing to learn additional instructional strategies and technologies. Demonstrates excellent attendance and punctuality. DESIRED CHARACTERISTICS: Positive, enthusiastic, and warm personality Strong work ethic, proactive communicator, and collaborator TOOLS/EQUIPMENT: A teacher effectively uses an electronic presentation system that includes, but is not limited to, a computer, interactive whiteboard, document camera, projector, and media player. A teacher utilizes a photocopy machine, fax machine, and other standard office equipment. A teacher effectively utilizes student data systems, hardware, and software utilized by the district. HUMAN RELATIONS CHARACTERISTICS Interactions with others are constant, both in person and on the telephone, so this person must be tactful, courteous, and professional. There are also tasks calling for independent work skills. Decision-making and problem-solving skills are continually engaged. The ability to work with vendors, consultants, and internal/external tech support, as needed.

Job Description Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. If making an impact and having a seat at the table is important to you, this is the opportunity for you. Join our small, rapidly-growing team at Quadric to develop supercomputer technology designed for the Edge. In this position you will be a core member of our hardware team, reporting to the CTO and will have an opportunity to grow in the company of expert technologists who also happen to be good people you’ll want to spend time with. • Architect, and develop from scratch, a novel set of test benches for a new generation of GPNPU processors, • Collaborate with architects, HW & SW designers to document verification test plans, • Implement testbenches using commercial VIPs and/or internal SW utilities, • Develop directed/random drivers, assembly or C++ programs to efficiently test the design, • At least 5 years of experience in design verification for CPU or GPUs., • Deep knowledge of leading verification methodologies for CPU or GPU designs., • Expertise in either UVM or C/C++ based CPU or GPU verification., • Provide competitive salaries and meaningful equity, • Provide catered lunches, commuter benefits & solid choice of healthcare plans, • Provide a politics-free community for the brilliant minds who want to make an immediate impact, • Provide an opportunity for you to build long term career relationships, • Foster an environment that allows for lasting personal relationships alongside professional ones Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21. Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Job Description Quadric has created an innovative software driven AI inference processor. Licensed as IP, the architecture is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other neural engines in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. What We Value: Integrity, Humility, Happiness What We Expect: Initiative, Collaboration, Completion Role: As the Chief Financial Officer, you will work with the CEO to chart out our path from post Series C to IPO. Responsibilities • Provide competitive salaries and meaningful equity, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity) Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21. • Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Job Description InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company's Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, you'll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit Overview of the role: We are looking for an Applied Scientist III to join our algorithmic and research science team. You'll work on mathematically rigorous, research-driven problems at production scale. This role sits at the intersection of theory and application, designing algorithms that combine elegant modeling with measurable business impact. Specifically, our scientists tackle challenges across traffic shaping, fraud detection, ad quality, pricing strategies, and auction theory, along with their practical applications. We leverage the latest deep learning models alongside classical machine learning techniques to build innovative solutions. As the heart of the InMobi Exchange, our team optimizes the company's core business functions and creates the strategic moat that sets us apart in the market. You will not just "use models"—you will formulate them, evaluate their assumptions, tailor them to our problem domain, and bring them to life in production. Many of our challenges have no off-the-shelf solutions; we require scientific creativity to bridge research and reality. If you thrive on solving complex, high-impact problems and want to see your ideas shape the future of a global exchange, this is the place where your work will truly make a difference. The impact you'll make: In this role, you'll operate at the intersection of cutting-edge research and massive-scale production, shaping algorithms that power a global advertising marketplace, making tens of trillions of real-time decisions every day. You'll work in an environment where models are continuously tested, evaluated, and refined — with rapid learning loops measured in hours, not weeks. Collaborating with a team that values algorithmic depth and scientific rigor, you'll have the opportunity to prototype, publish, and deploy work that drives measurable business impact. * Formulate, analyze, and implement algorithms that power real-time auctions, dynamic pricing, bid shaping, pacing, and traffic allocation across a massive-scale ad marketplace. * Design and experiment with methods in online learning, reinforcement learning, multi-armed bandits, forecasting, game theory, and Bayesian modeling—in non-stationary, adversarial environments. * Collaborate with product and engineering teams to deploy your models in production and run real-world experiments with rapid feedback loops (measured in hours, not weeks). * Contribute to the scientific community by publishing high-quality research, conducting internal seminars, and staying abreast of advances in machine learning, algorithms, and applied statistics. * Evaluate the long-term dynamics of deployed algorithms, incorporating feedback, exploitation-exploration trade-offs, and incentives within multi-agent systems. * Identify new areas for innovation by translating business challenges into research questions and proposing novel, high-impact methodologies. * Translate mathematical ideas into practical, high-performance algorithms that operate at scale in production environments. * Explore and close the loop between model predictions and real-world outcomes, refining algorithms based on system behavior. The experience we need: * Ph.D. (preferred) or Master's degree in Computer Science, Statistics, Mathematics, Operations Research, Physics, or a related quantitative discipline. * 5.5–7 years of experience working on algorithmic or applied research problems, ideally with some production deployment experience. * Deep grounding in one or more of: * Statistical learning theory, optimization, probability theory, and information theory * Causal inference, decision theory, game theory * Online learning, bandits, RL, Bayesian methods * Strong publication record (e.g., NeurIPS, ICML, AISTATS, KDD, UAI, WSDM, EC, SODA, COLT) is a strong plus—even if not recent. * Proficient in scientific computing with Python, including packages such as NumPy, SciPy, PyTorch, or TensorFlow. * Comfortable working with big data platforms like Apache Spark, distributed computing, and large-scale datasets. * A researcher's mindset: questions first, implementation later. You are thoughtful about assumptions and rigorous about validation. * End-to-end ownership: you can go from idea to production and thrive in applied settings. * Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but not required. What we build… At InMobi, we're building products that are redefining industries. Our ecosystem spans: • InMobi Advertising – Powering data-driven mobile marketing for the world's leading brands, • Glance – A revolutionary Gen AI-powered lockscreen & TV content platform transforming how millions discover and engage with content. What sets us apart? Not just what we build. How we build it. At InMobi, we balance our hunger for cutting-edge tech with a deep focus on our people - their growth, well-being, and potential. At InMobi, you'll be surrounded by people who… • Think big and act fast: We're entrepreneurial, thrive in ambiguity, and love solving high-impact problems, • Are passionate, fanatically driven, and take immense pride in their work: We care deeply about the impact we create and continuously push our potential, • Own their outcomes: We take responsibility, make bold decisions, and execute with confidence, • Embrace freedom with accountability: We value autonomy and understand that trust comes with responsibility Our compensation philosophy enables us to provide a competitive salary that drives high performance while balancing business needs and pay parity. We determine compensation based on a wide variety of factors, including role, nature of experience, skills, and location. The base salary (fixed) pay range for this role would range from $148,200 USD to $216,600 USD (min to max of base salary pay range). This salary range is applicable for our offices located in California and New York*. *Our ranges may vary based on the final location or region of the roles in accordance with the geographical differentiation in pay scales in the country. In addition to cash compensation, based on the position, an InMobian can receive equity in the form of Restricted Stock Units. We believe that our employees/personnel should have the ability to own a part of the entity they are a part of. Therefore, the entity employing you may elect to provide such stocks to you. Ownership of stock enables us to treat our employer company as our own and base our decisions on the company's best interest at heart. To encourage a spirit of shared ownership, we grant InMobians relevant company stock(s). As you contribute to the growth of your company, certain stocks may be issued to you in recognition of your contribution. A quick snapshot of our U.S. benefits: • Competitive salary and RSU grant (where applicable), • High-quality medical, dental, and vision insurance (including company-matched HSA), • 401(k) company match, • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays, • Substantial maternity and paternity leave benefits and compassionate work environment, • Flexible working hours to suit everyone, • Wellness stipend for a healthier you!, • Free lunch is provided in our offices daily, • Pet-friendly work environment and robust pet insurance policy - because we love our animals!, • LinkedIn Learning on demand for personal and professional development InMobi is an equal opportunity employer InMobi is a place where everyone can grow. Howsoever you identify, and whatever background you bring with you, we invite you to apply if this sounds like a role that would make you excited to work. InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. The InMobi Culture At InMobi, culture isn't a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit to better understand our benefits, values, and more!