Staff Machine Learning Engineer, Listings and Host Tools Data and AI

About Carvana “We believe CVNA is in the early stages of becoming the next U.S. retail category killer.”  – Stephens Investment Bank, Analyst Report, Sept. 2024 “Growing a capital and labor intensive, industrial type asset at a 40% clip is unchartered territory…” – JP Morgan Chase, Analyst Report, Jan 2026 Building leading-edge technology has been at the core of Carvana's strategy since our founding, driving us to become the 3rd fastest company in history to organically reach the Fortune 500, following only Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as both the fastest-growing and most profitable automotive retailer in the US, thanks to our deep vertical integration across retail, lending, vehicle transportation, wholesale auctions, and more. Our technology teams build: * End-to-end ecommerce for buying and selling cars, including everything you see on Carvana.com and in our mobile apps. * AI-driven customer support across chat, email, SMS, and voice, as well as a proprietary CRM platform built for efficiency and quality at scale. * 360° vehicle photography and interactive merchandising using cutting-edge computer vision and AI. * The most sophisticated self-service automotive lending platform in the world; a full fintech stack. * Systems and tools behind a nationwide logistics network that has delivered and picked up over 3 million cars via our fully owned and operated fleet, reaching 90% of US driveways. * Enterprise-grade systems for operating the largest vehicle reconditioning facilities in the US, with workflow automation covering everything mechanical, electrical, and cosmetic. * Early adoption and customization of AI tools to optimize developer efficiency and experience. And much, much more… About the team and position Our Product team is at the center of that growth, and we are hiring. We are an AI-first technology organization that moves fast, operates with high ownership, and builds things that matter at scale. If you want to grow not just as a Product Manager but as a leader and business-builder, Carvana is the place for you. We are hiring Product Managers across several teams in Los Angeles and Phoenix, spanning mid-level and senior roles. While each team has its own focus area, we look for the same foundational qualities across all of them: strong product instincts, a data-driven mindset, an AI-first approach to work, and the drive to own outcomes end to end. The Teams Depending on your background and interests, you may be considered for one or more of the following teams: * Nurture: Lead nurture communications on an AI-first team, guiding customers from early interest through purchase using machine learning, personalization, and experimentation across email, SMS, and push. * Engineering Horizontals - Identity, Experimentation & Data Platform: Own the foundational platforms that power customer trust, product innovation, and regulatory compliance, including authentication, consent management, data privacy APIs, and experimentation infrastructure, as well as the strategic shift in how Carvana consumes and governs data through enterprise adoption of Sigma, migration of legacy SQL Server assets to Snowflake, and ownership of the unit economics of the data platform. * Inventory Workforce and Vehicle Management: Support the design and development of a new collection of AI and Machine Learning vehicle routing and advanced manufacturing solutions. The goal, automate the entire reconditioning process while optimizing for speed, cost and quality. What you’ll be doing While responsibilities vary by team, all roles share a common set of expectations: * Drive the product roadmap and lead end-to-end product development informed by customer research, analytics, and business needs. * Partner cross-functionally with Engineering, Design, Data Science, Analytics, and business stakeholders to scope, prioritize, and ship high-impact initiatives. * Own experimentation and measurement, actively interpreting results and translating insights into continuous product improvements. * Apply AI tools as a core part of how you work, accelerating research, synthesis, prototyping, and day-to-day execution. * Write clear requirements, project briefs, and documentation to align stakeholders and enable effective engineering execution. * Use data to size opportunities, evaluate tradeoffs, and make decisions. * Take full ownership of your product area and be accountable for the long-term trajectory of key business outcomes such as sales, gross profit, customer satisfaction, and cost per unit sold. What you should have/know * A bachelor's degree in STEM, Economics, Finance, Business, Design, or equivalent experience. * Two or more years of product, product analytics, or related experience for mid-level consideration; four or more years for senior-level consideration. * Outcome-oriented and data-driven decision making, backed by expertise in metrics, analytics, and tools such as SQL, Tableau, Looker, or Sigma. * An AI-first approach to product work, with hands-on experience using AI tools for research, analysis, prototyping, and day-to-day productivity. * Excellent written and verbal communication, organizational, and project management skills with strong attention to detail. * Ability to learn and absorb technical concepts and communicate them effectively to non-technical audiences. * Deep product experience at one or more highly successful and ideally high-growth companies. * Strong opinions about consumer products and a developed sense of product taste. * Experience with experiment design and interpretation. * A willingness to roll up your sleeves and do whatever it takes for the sake of the team and our customers. * Self-motivated with a sense of humor and the ability to thrive in a fast-paced, ambitious environment. It would be great if you also have * A genuine passion for AI and its potential to transform product experiences, not just familiarity with the tools but a curiosity about where the technology is headed and how to apply it creatively. * Hands-on experience building or iterating on AI-driven products, including features powered by machine learning, LLMs, RAG, tool-calling, or agent frameworks. * Knowledge of data science best practices and the ability to collaborate closely with data scientists and ML engineers to shape model-informed product decisions. * Strong UX instincts and the ability to anticipate user needs and pain points, especially in AI-assisted or conversational experiences. * Experience with agile methodology and product strategy and roadmapping. * Familiarity with Snowflake, Sigma, Looker, or Tableau for independent data exploration. * Background in automotive, e-commerce, marketplaces, retail, or similarly complex operating environments. What we’ll offer in return * Full-Time position with a competitive salary and Carvana stock compensation. * Medical, Dental, and Vision benefits. * 401K with company match. * A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more. * A great wellness program to keep you healthy and happy both physically and mentally. * Access to opportunities to expand your skill set and share your knowledge with others across the organization. * A company culture focused on high performance and bar-raising, with vast opportunity to learn and grow. Other requirements To be able to do your job at Carvana, there are some basic requirements we want to share with you. * Must be able to read, write, speak and understand English. Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs.  Legal stuff Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship. Carvana is an equal employment opportunity employer.  All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law.  Carvana also prohibits harassment of applicants or employees based on any of these protected categories. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant, AI/BI Genie, and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others. As our GenAI products continue to evolve, we are seeking multiple  GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale. Key Responsibilities * Shape the direction of our applied AI areas and intelligence features in our products. Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie). * Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains. * Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration. * Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction. * Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance. What We’re Looking For * 2-8 years of machine learning engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification. * Strong track record of working with language modeling technologies. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks. * Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures. * Ability to drive end-to-end model development, from research and prototyping to deployment and monitoring. * Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences. * Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment. * Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) is a bonus. Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts. If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!   Please note we are open to employees working from our Mountain View, CA office for this position.    Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $190,000—$285,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.