Gradient AI jobs

Data Engineering Manager Remote Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes-tens of millions of policies and claims-to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast-and it's an exciting time to join the team. About the Role: If you want to work on cutting edge technology with friendly, intelligent people in a highly collaborative environment, then Gradient AI is the right place for you . We are looking for a data engineering manager to lead a team of software and data engineers who are building AI/ML models for the insurance industry . This is a fully remote opportunity. How you will make an impact: - Grow, build, and lead a world-class engineering team - Participate in high-level design decisions and execute them - Work closely with data engineering, software engineering, and data science team members to create integrated automated processes that support a robust ML Ops workflow - Be a technical interface for our client implementation team and partners to implement clients Skills needed to succeed: - 7+ years of experience with data engineering & software architecture in an enterprise commercial setting - 5+ years managing developers, helping grow their careers and improve

Senior Sales Executive Remote This is a fully remote opportunity. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes-tens of millions of policies and claims-to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast-and it's an exciting time to join the team. About the Role: We are searching for a hands-on consultative Senior Sales Executive, Health to join our team and sell our SaaS underwriting and analytics solutions to the health insurance industry. This individual will understand the customer's business objectives, the technical components of our solutions, and utilize a deliberate sales methodology in achieving sales objectives. The successful candidate will demonstrate software sales expertise, desire to hunt and build your own pipeline, and have experience selling into the health insurance space. They will come with their own strategies, approaches, and have very strong self-motivation. How you will make an impact: - Build your own book of business from the ground up with a strong pipeline of prospective customers through direct prospecting, relationships, and referrals - Lead all aspects of the consultative sales process including new business development, client research, objection handling, demoing, closing, and follow up - Draft statements of work and pricing proposals

Senior Solutions Consultant - Health Remote This is a fully remote opportunity. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes-tens of millions of policies and claims-to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast-and it's an exciting time to join the team. About the Role: We are looking for a Senior Solutions Consultant to work with our sales and customer service team to drive effective implementations of our predictive analytics AI/ML solutions for underwriting and claims health clients. With a background in Health Insurance & Medical Stop Loss, this person will draw on deep domain experience to ensure we ask the right questions, use the best tools, articulate the best value propositions and provide the appropriate context; as well as to ensure the solutions we provide are on-point, value-add, and actionable. How you will make an impact: - Support the Health sales team by leading the creation, development, and ongoing maintenance of sales demo environments and presentation materials. - Arm the sales team with client success stories, KPI analyses, and reports that quantify client ROI - Participate on sales calls, providing demonstrations of our solutions and technical support for explanations of our products

Enterprise Sales Director - Health Remote This is a fully remote opportunity. Gradient AI: Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes-tens of millions of policies and claims-to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast-and it's an exciting time to join the team. About the Role: We are searching for a results-driven Enterprise Sales Director - Health to join our growing team and lead enterprise sales efforts across the health insurance ecosystem. This individual will own the full sales cycle, selling our AI-powered SaaS underwriting and analytics solutions to health insurance and benefits organizations. This role requires someone who understands the nuances the health insurance landscape and can credibly speak the language of underwriting, actuarial, and clinical leadership. The ideal candidate brings deep relationships across the health insurance ecosystem and a proven track record of closing complex, multi-stakeholder enterprise deals. They are equally comfortable presenting to a Chief Actuary and negotiating with key leadership across large enterprise organizations, and they thrive in a high-growth startup environment where they can build something meaningful. How you will make an impact: - Own and grow a pipeline of enterprise opportunities across the group health ecosystem through strategic

Senior Mechanical Engineer - Gradient Coils Florence SC USA posted: Posted 30+ Days Ago

Senior Data Scientist Remote You're the kind of data scientist who gets equally energized by training a gradient boosted classifier and designing an LLM-powered agentic workflow. You understand that picking the right tool - whether that's a decision tree, a language model, or a carefully chosen heuristic - matters more than chasing the latest trend. And you're just as comfortable explaining your approach to a non-technical stakeholder as you are digging deep into a messy dataset. Does this sound like you? Great! We're looking for a Senior Data Scientist to work across Expel, using both traditional machine learning and generative AI to solve meaningful problems. You'll help teams develop the right metrics to measure what matters, build models that surface threats in our customers' environments, and design AI-powered tools that make our analysts faster and smarter. Some of the most interesting work sits right at the intersection of GenAI and classical ML - and you'll help us figure out where each approach wins. Our team values collaboration, curiosity, and a “how can I help?” attitude. If you care about making data science accessible to everyone - and find mentorship rewarding - let's talk. What Expel Can Do For You - Provide opportunities where your decisions have a direct impact on our company and our customers - Give you real, hard problems at the frontier of both GenAI and traditional ML in a security context - Empower you to scale yourself by teaching others what responsible, non-hyped AI looks like in

Aerodynamics Design Engineer Lausanne, Canton de Vaud, Switzerland About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. Role Harmattan is seeking a highly skilled Aerodynamic Design Engineer to join our team in designing the next generation of unmanned aerial vehicles (UAVs). You will be the technical anchor for our flight physics, transforming mission profiles into optimised airframe configurations. You will bridge the gap between theoretical concepts and flight-ready hardware, working at the intersection of the Mechanical and Guidance, Navigation, and Control (GNC) teams to ensure our platforms are high-performing, stable, and manufacturable. Responsibilities - Conceptual Design & Architecture: Lead the aerodynamic layout for fixed-wing, multicopter, and eVTOL configurations. Translate mission requirements (range, speed, payload) into technical specifications. - Multi-fidelity analysis: Develop and utilize a full spectrum of numerical methods for analysis, ranging from rapid analytical/empirical methods to high-fidelity CFD, including potential and/or panel methods. - End-to-End CFD Workflow: Execute the full simulation pipeline: geometry cleanup, meshing, solver execution, and post-processing. - Optimization: Apply gradient-based or adjoint methods to refine surfaces for drag reduction and maximum

Research Engineer - Training Platform Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Research Engineer to build and maintain the training platform that powers our model development - experiment orchestration, job management, observability, and the tooling that lets researchers move from idea to result as fast as possible. What You'll Do - Build and maintain training orchestration systems for large-scale distributed model training across GPU clusters - Develop experiment management tooling: job configuration, tracking, reproducibility, and artifact management - Build observability infrastructure for training runs: loss curves, compute utilization, gradient statistics, and anomaly detection - Optimize and automate the research iteration loop from experiment launch to results analysis - Manage job scheduling and cluster utilization for efficient use of GPU compute - Build internal tooling and interfaces that help researchers move faster - Collaborate with training systems, data infrastructure, and research teams to support their platform needs What We're Looking For - Strong software engineering skills with experience

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Frontend Software Engineer II Bellevue | Hybrid | Remote Frontend Engineer II Cascade AI Bellevue, WA About Cascade AI Cascade AI helps HR organizations transform how they operate with AI agents that automate critical HR functions, including support, open enrollment, onboarding, leave of absence, compensation, and more. Our agents do far more than provide answers. They execute processes and workflows, streamline HR operations, and deliver employees the help they need instantly and conversationally. By combining Large Language Models (LLMs) with an organization's existing HR technology stack, Cascade agents streamline operations, improve employee experience, and unlock significant cost savings. Cascade is deployed globally, with users on every continent, and supports multi-lingual workforces. We are proudly backed by Gradient Ventures, Google's AI fund, and trusted by Fortune 100 companies and leading enterprises, many of whom sign multi-year contracts. Founded by two former Microsoft engineers through the MIT Sandbox Innovation program, Cascade is now one of the fastest-growing AI companies in HR technology. We have an exceptional advising team, including industry leaders such as the former VP of People Ops at Google and former CHRO of Airbnb. If you like to work at the intersection of AI and cloud, collaborate across the organization, and thrive in a fast-paced startup environment, this role could be a great fit. Everyone joining at this stage will wear multiple hats and work across the product surface. Role: Frontend Engineer II As a Frontend Engineer II at Cascade, you will design and build the user interfaces that power

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Controller Redwood City, CA Controller Redwood City, CA About Quilt Quilt's mission is to move humanity off of fossil fuel heating. 20% of US global warming emissions come from homes - that's more than cars. Started by a team of industry veterans from Google, Apple, Nest, and Tesla, Quilt is a technology company focused on improving the energy systems, health, and comfort of buildings. Along the way, we're building the first new major HVAC manufacturer in over 100 years. Our systems combine the most efficient heat pumps on the market with modern artificial intelligence to deliver a home climate experience that's not just sustainable, but 10x better than what it replaces. We've raised over $63M from Energy Impact Partners, Galvanize Climate Solutions, Lowercarbon Capital, Gradient Ventures, and other top-tier investors. The Role Quilt has proven its product and its market. We're scaling across North America, and the financial infrastructure behind the business must keep pace. This is a key leadership role as we build the financial infrastructure to support our growth. As Head of Accounting, you will lead the accounting function end-to-end. You will report directly to the CFO and serve as the company's senior accounting leader. In the near term, you'll be deeply hands-on - building the processes and controls to support a high-growth hardware and software business and preparing the organization for its first financial audit. As the company scales, you'll build and lead the accounting team alongside it What You'll Own - The Close & Financials: Own

Senior Platform Infrastructure Engineer Remote (US/Canada) What is Spade? Financial institutions process billions of transactions every day across cards, ACH, wires, and third party aggregators. But most of that data is difficult to use. Descriptions are inconsistent, merchant names don't match, and categories vary by payment type. Spade is a data and AI platform that turns messy transaction strings into structured, verified records - and gives teams the tools to act on it across authorization, attribution, analytics, and AI initiatives. Spade leads the market in terms of merchant coverage, matching accuracy, geolocation data, and speed of transaction enrichment. Customers such as FIS, Bilt, Mercury, Stripe, alongside many other leaders in fintech and financial services, trust Spade's data to enable personalized rewards programs, accurate applied spending rules, precise analytics requests, and innovative AI-powered features. Spade is a fast growing, Series B company backed by industry experts and top tier investors (including Oak HC/FT, a16z, Flourish Ventures, Y-Combinator, and Gradient Ventures). We're a lean and execution-oriented hybrid team, passionate about building exceptional products for our growing customer base. We care deeply about diversity of background, experience, and opinion. We value empathy, curiosity, and passion, and strive to create an environment where individuals have autonomy and the ability to take ownership over their work. What will you be doing? As a Senior Platform Infrastructure Engineer, you'll own the systems that keep Spade's core platform fast, reliable, and scalable. You'll work across the full infrastructure stack - from the cloud services and data pipelines

Masterand Glinde Tenneco ist eines der weltweit führenden Unternehmen in der Entwicklung, Herstellung und Vermarktung von Produkten für die Automobil- und Schienenfahrzeugbranche. Im Geschäftsbereich Tenneco Braking wird eines der breitesten Portfolios an Reibmaterialien für Pkw, Nutzfahrzeuge, Schienengüter- und -personenverkehr, Industrie- sowie Motorsport angeboten. Die Produkte unterstützen Tier-1-Zulieferer und OEMs dabei, aktuelle und zukünftige Umweltanforderungen zu erfüllen. Für den Standort Glinde (Schleswig-Holstein) wird ein/e Masterand (m/w/d) im Bereich Data, AI & Analytic gesucht. Der Beschäftiungsumfang umfasst 2 Monate Praktikum mit anschließender Masterarbeit über 6 Monate. Aufgaben: Analyse und Strukturierung von Versuchs- und Materialdaten (Rezepturen, Prozessparameter, Performancekennwerte) Aufbau und Validierung von Regressionsmodellen (z. B. neuronale Netze, Random Forest, Gradient Boosting) zur Vorhersage von Reibwertverhalten. Feature Engineering auf Basis von Materialzusammensetzung und Prozessparametern Untersuchung von Generalisierungsfähigkeit und Extrapolation auf neue Rezepturen Vergleich unterschiedlicher Modellansätze hinsichtlich Vorhersagegenauigkeit, Robustheit und Interpretierbarkeit Identifikation relevanter Einflussgrößen mittels Feature Importance / Sensitivitätsanalysen Dokumentation und Präsentation der Ergebnisse Enge Abstimmung mit R&D-Ingenieuren zur Sicherstellung physikalischer Plausibilität Qualifikation: Masterstudium in Data Science, Mathemati

Engineering Careers at HP {"themeOptions": {"name": "PCS Default", "customTheme": {"varTheme": {"pcsx-theme-linear-gradient-start": "#000000", "pcsx-theme-linear-gradient-end": "var(--primary-color-50)", "pcsx-secondary-background-color": "var(--primary-color-10)", "primary-color": "#343C4C", "primary-color-100": "#05070A", "primary-color-90": "#1A212E", "primary-color-80": "#343C4C", "primary-color-70": "#4F5666", "primary-color-60": "#69717F", "primary-color-50": "#858B98", "primary-color-40": "#A1A6B1", "primary-color-30": "#BDC1C9", "primary-color-20": "#D9DCE1", "primary-color-10": "#F6F7F8", "border-radius-xl": "4px", "pcsx-hero-image-height": "auto", "accent-color": "#343C4C", "accent-color-10": "#F6F7F8", "accent-color-20": "#D9DCE1", "accent-color-30": "#BDC1C9", "accent-color-40": "#A1A6B1", "accent-color-50": "#858B98", "accent-color-60": "#69717F", "accent-color-70": "#4F5666", "accent-color-80": "#343C4C", "accent-color-90": "#1A212E", "accent-color-100": "#05070A", "button-default-text-color": "var(--primary-color)", "button-default-background-color": "#ffffff", "button-default-border-color": "var(--primary-color)", "button-default-hover-text-color": "var(--primary-color)", "button-default-hover-background-color": "#ffffff", "button-default-hover-border-color": "var(--primary-color)", "button-default-active-text-color": "var(--primary-color)", "button-default-active-background-color": "#ffffff", "button-default-active-border-color": "var(--primary-color)", "button-primary-text-color": "#ffffff", "button-primary-background-color": "#000000", "button-primary-hover-text-color": "#ffffff", "button-primary-hover-background-color": "#ff5050", "button-secondary-text-color": "var(--primary-color)", "button-secondary-border-color": "var(--primary-color)", "button-secondary-hover-background-color": "#FF5050", "tab-pill-active-background": "var(--primary-color)", "tab-pill-active-label": "var(--text-inverse-color)", "label": "Gray", "pcsx-theme-linear-gradient": "#024AD8", "card-background-color": "#ffffff", "card-text-color": "#000000", "button-secondary-hover-text-color": "#fbfbfb", "font-family": "forma-djr-micro", "pcsx-jobcard-title-text-color": "#000000", "pcsx-jobcard-flag-text-color": "#000000", "pcsx-hero-image-aspect-ratio": "1667/417"}, "customFonts": [{"src": "url(\"https://static.vscdn.net/images/careers/demo/hp/1757440681::FormaDJRUI+(2).woff2\") format(\"woff2\")", "fontFamily": "forma-djr-micro"}], "textColor": "#000000"}}, "domain": "hp.com", "configPath": "PCS>", "updatePath": "PCS>"} {"navbarData": {"desktop": {"nav_left_items": [{"type": "BRANDING", "id": "branding", "product_homepage_url": "http://www.hp.com", "company_name": "HP", "company_logo_url": "https://static.vscdn.net/images/careers/demo/hp/1757451600::logo_HP_Electric_Blue_keyline.png"}], "nav_right_items": [{"type": "NAVLINK", "id": "jtn_link", "primary_text": "Join Talent Network", "url": "/careers/join?domain=hp.com", "target": "_blank"}, {"type": "LANGUAGE_SWITCHER", "id": "language_switcher", "languages": [{"value": "en", "title": "English"}, {"value": "zh-CN", "title": "\u4e2d\u6587 (\u7b80\u4f53)"}, {"value": "zh-TW", "title": "\u4e2d\u6587 (\u7e41\u9ad4)"}, {"value": "fr", "title": "Fran\u00e7ais"}, {"value": "de", "title": "Deutsch"}, {"value": "it", "title": "Italiano"}, {"value": "ja", "title": "\u65e5\u672c\u8a9e"}, {"value": "ko", "title": "\ud55c\uad6d\uc5b4"}, {"value": "ms", "title": "Bahasa melayu"}, {"value": "es", "title": "Espa\u00f1ol"}, {"value": "th", "title": "\u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22"}, {"value": "nl", "title": "Nederlands"}, {"value": "pl", "title": "Polski"}, {"value": "hu", "title": "Magyar"}, {"value": "cs", "title": "\u010de\u0161tina"}, {"value": "tr", "title": "T\u00fcrk\u00e7e"}, {"value": "ru", "title": "P\u0443\u0441\u0441\u043a\u0438\u0439"}, {"value": "pt", "title": "Portugu\u00eas"}, {"value": "fr-CA", "title": "Fran\u00e7ais (Canada)"}]}, {"type": "CANDIDATE_NOTIFICATION_CENTER", "id": "candidate_notification_center"}]}, "mobile": {"nav_left_items": [{"type":

Applied Scientist II Any location, Canada About us Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks. Opportunities to make an impact with bold thinking are real-and happening daily at Coalition. About the role We are hiring an Applied Scientist II to build and improve the machine learning and GenAI models that power our underwriting decisions. You will take ownership of high-impact modeling problems end-to-end. This includes framing and data exploration through model design, evaluation, deployment, and monitoring, directly influencing how we assess and price cyber risk. You'll work closely with underwriters, product managers, and engineers to design robust pipelines, experiment with state-of-the-art ML/GenAI techniques, and ship models that meaningfully move business metrics. Your work will turn complex insurance and security signals into reliable decisioning systems, helping Coalition write better business at scale while pushing the frontier of AI in underwriting. Responsibilities - Build and advance our most sensitive and business-critical ML and GenAI models that power underwriting decisions and risk selection. - Drive and execute ML projects end-to-end: problem framing, data exploration, feature engineering, model design, prototyping, offline/online evaluation, deployment, and monitoring. - Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid and reproducible experimentation. - Apply state-of-the-art ML and GenAI workflows (e.g., gradient-boosted trees, deep learning, LLMs, prompt engineering, transfer

Data Scientist San Francisco, California, United States About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. What you'll do In your first year you'll ship analyses and experiments that move core product metrics, match quality, time-to-hire, candidate experience, and revenue. You'll: - Define north-star and feature-level metrics for our ranking, interview analytics, and payouts systems. - Design/run A/B tests and quasi-experiments; turn results into product decisions the same week. - Build source-of-truth dashboards and lightweight data models so teams can self-serve answers. - Instrument events with engineers; improve data quality and latency from ingestion to insight. - Prototype quick models (from baselines to gradient boosting) to improve matching and scoring. - Help evaluate LLM-powered agents: design rubrics,

Software Machine Learning Engineer North Reading, MA Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and interpretable AI. You will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. Design and implement pipelines for training, evaluation, and deployment of ML models. Apply graph ML methods to model relationships in structured and unstructured data. Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks. Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems. Collabor

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