Environmental Control Analyst Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Sitting within the broader Safety & Customer Care team, Lyft's Customer Care Operations organization manages over 1.7 million monthly customer interactions and serves as the company's primary direct touchpoint with riders, drivers, and businesses — spanning frontline support across multiple customer segments, a global BPO workforce, and the central functions that enable them to operate at scale. The Director of Business Planning & Central Operations is a newly created role at the center of how Customer Care runs and grows. This leader will ensure the org is resourced and positioned for the future, and will own the functions that keep Customer Care financially disciplined and execution-ready. Reporting to the Senior Director of Customer Care Operations, they will lead five functions: Planning & Forecasting, Workforce Management, Readiness & Integration, Vendor Management, and Support Excellence. What You'll Do Business Planning & Strategy Partner with the Senior Director to drive H1 and H2 planning — translating annual objectives into operational plans, investment decisions, and resource models. Lead the investment brief process: sizing opportunities, articulating trade-offs, and building the business cases that secure resourcing for strategic priorities. Drive capacity planning, scenario modeling, and long-range forecasting to ensure the internal and external workforce scales efficiently alongside platform growth and AI adoption. Define and operationalize OKRs across the portfolio, then build the rhythms and infrastructure — scorecards, business reviews, and performance dashboards — that hold teams accountable and give leadership clear visibility into progress and outcomes. Growth & Integrations Lead operational readiness for major product launches, external partnerships, and

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end. Our technology stack ranges from basic machine learning models to large language models and running them at scale on millions of images. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing proble

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions. This role is ideal for someone who is technically versatile, energized by variety, and wants to see th

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking to hire a motivated Specialist to join our Finance Transformation Team. As a key member of the Office of Finance Transformation, you will partner closely with finance SMEs to analyze and document how things work today and then standardize, redesign, and optimize cross-functional finance processes for tomorrow. You’ll apply your finance and accounting experience—and your strong instincts for how processes should work—to drive efficiency and performance through automation, smarter tools and technology, and better workflows, while ensuring that our processes are measurable and scalable. This is a hands-on role where you’ll be expected to dig in, build things, and make a real impact in shaping our Finance org for the future. This role offers exceptional opportunities for professional growth . You’ll gain exposure to a wide range of finance processes, systems, and cross-functional stakeholders. We’re committed to cross-training on tools and technical skills to support your long-term development. This is a high-visibility, high-learning role where you’ll make a meaningful impact on how finance operates at scale. This role is right for you if you are Someone who gets things done—you don’t just document a problem, you build the solution Comfortable rolling up your sleeves: equally at home in a process walkthrough and building a working solution in a spreadsheet, BI tool, or automation platform Forward-thinking and tech-curious, with a mindset of continuous improvement Able to bridge business needs with technical solutions Naturally collaborative, with a strong sense of ownership and follow-through Excited by the opportunity to reimagine finance in a digital-first world Responsibilities: We’re looking for someone who brings curiosity, initiative, and a bias toward action. In this role, you’ll

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Customer Care team makes sure that every time Lyft enters a new market, launches a new mode, or works with a new partner, riders and drivers get the support experience they expect from day one. Some of Lyft's biggest growth bets run straight through this work: expanding into new countries, putting riders into autonomous vehicles with partners like Waymo and May Mobility, and standing up entirely new lines of business. This role owns customer care across these initiatives: shaping the support experience for each, and building the platform, playbooks, and standards that let us launch the next one faster than the last. You'll work hand in hand with the internal & external teams leading each initiative, bringing a strong, independent point of view on what great customer care takes. It's high-visibility work tied directly to where Lyft is growing next. Responsibilities: Own the customer care and support experience for Lyft's highest-priority growth initiatives—spanning international expansion, autonomous vehicles, and new lines of business Partner closely with the internal teams leading each initiative, folding customer care into the broader launch and bringing a strong, independent point of view on what great support requires

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Regional Threat Assessment Manager to join the Protective Intelligence program within Coinbase's Security organization. This team protects Coinbase employees, executives, facilities, and operations by identifying, assessing, and mitigating threats through intelligence-led case management and structured behavioral assessment. You'll serve as the regional lead and subject matter expert for Threat Assessment and Management, owning complex and sensitive threat cases end-to-end while partnering with GSOC, Executive Protection, Legal, HR/ER, Insider Threat, and other stakeholders to drive coordinated response and help mature the program's regional capabilities. What you'll do: Own end-to-end threat case management for your region, from intake, triage, and behavioral assessment through mitigation planning, documentation, and closure for threats impacting employees, executives, facilities, and other Coinbase assets. Lead structured behavioral threat assessments using Coinbase methodologies and accepted frameworks (e.g., JACA, WAVR-21, CTAP-25) to evaluate motivation, capability, escalation indicators, and stabilizers, then translate findings into clear operational recommendations. Drive intelligence-led incident response by serving as the intelligence lead during active incidents, coordinating with GSOC, ensuring timely escalation, and delivering decision supp

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Regional Threat Assessment Manager to join the Protective Intelligence program within Coinbase's Security organization. This team protects Coinbase employees, executives, facilities, and operations by identifying, assessing, and mitigating threats through intelligence-led case management and structured behavioral assessment. You'll serve as the regional lead and subject matter expert for Threat Assessment and Management, owning complex and sensitive threat cases end-to-end while partnering with GSOC, Executive Protection, Legal, HR/ER, Insider Threat, and other stakeholders to drive coordinated response and help mature the program's regional capabilities. What you'll do: Own end-to-end threat case management for your region, from intake, triage, and behavioral assessment through mitigation planning, documentation, and closure for threats impacting employees, executives, facilities, and other Coinbase assets. Lead structured behavioral threat assessments using Coinbase methodologies and accepted frameworks (e.g., JACA, WAVR-21, CTAP-25) to evaluate motivation, capability, escalation indicators, and stabilizers, then translate findings into clear operational recommendations. Drive intelligence-led incident response by serving as the intelligence lead during active incidents, coordinating with GSOC, ensuring timely escalation, and delivering decision supp

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for a Design Systems Manager to join Design Foundations, the infrastructure layer of Lyft's design organization. Design Systems at Lyft is an integral part of the overall user experience. Our design system spans product surfaces, marketing, and brand, officially known as the Lyft Product Language (LPL) and shipped directly to code. You'll own the craft and execution of that system, partner closely with design, engineering, and marketing, and lead Design systems work through a period of active global growth and capability expansion. This role reports to the Director of Design Foundations and works alongside a dedicated DPM and Engineering managers, and a tight-knit team of design systems practitioners. Responsibilities: Strategy & Vision Set the strategy and roadmap for Lyft Product Language (LPL) across product, marketing, and brand surfaces, in partnership with the Director of Design Foundations and engineering leadership and the Design Systems team Lead the AI transformation of the system: integrate AI into LPL tooling, adoption workflows, and the day-to-day designer experience at Lyft Represent Design Systems in reviews and other senior leadership forums People & Craft Manage and develop a team of design systems designers and illustrators working across iOS, Android, web, and brand Hold the quality bar for system-wide design: cross-platform coherence, accessibility (WCAG), road safety, localization, and brand consistency. Coach the team on making educated tradeoffs between flexibility, coherency, usability, and efficiency Execution & Partnership Partner closely with the Design Systems DPM and engineering managers to maintain system health, sequence work, and unblock teams Own the LPL component contribution and review process end-to-end, from intake through release Commu

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As an Engineering Manager on the Core Rider team, you will act as a critical technical leader in a highly visible area of the Rider Organization. Taking holistic ownership of our foundational systems and core rider functionality, you will be directly responsible for moving top-line business metrics and delivering a seamless rideshare experience. You will partner with multiple product managers, data scientists, and cross-functional teams to develop complex systems, define strategic roadmaps, scale the product and infrastructure that powers how millions of riders request and experience their rides every day. Responsibilities: Drive team execution, proactively resolve bottlenecks and make decisive trade-offs. Partner with cross-functional teams (Product, Design, Marketing, Science, and Analytics) to define the team's strategic direction. Translate high-level business goals into actionable projects. Own a team roadmap from conception to delivery, managing cross-team dependencies and mitigating risks. Maintain operational excellence through contributing to best practices for observability, reliability, and on-call processes. Ensure technical excellence through architecture reviews, tech debt management, and engineering guidance. Maintain team health by creating and refining team processes, fostering a supportive team culture, and managing resourcing. Develop team member careers by matching them with opportunities, setting clear expectations, and providing timely feedback. Build relationships across engineering teams to share learnings, align on standards, and identify collaboration opportunities. Serve as a dependable, high-bar interviewer and active participant in Lyft’s broader community. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or a related field, or equivalent practic

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are looking for an Executive Business Partner to support our four Senior Directors on the Policy Leadership team. This vital new role will manage scheduling and coordinate events, org wide initiatives, and meetings for the broader team. This role is for you if you enjoy working in an energetic environment, managing multiple competing priorities, and streamlining hectic days. The role requires someone who is incredibly organized, attentive to detail, and a true team-player able to build strong relationships. This role is expected to be based in the Washington, DC Lyft office on a hybrid schedule. Responsibilities: Proactively and strategically manage complex calendars and meeting coordination, travel, and other administrative tasks; Work closely with the Chief of Staff (CoS) to keep them informed of agendas, presentations, and decisions needed prior to meetings Prepare presentation materials and briefs for team meetings in partnership with CoS Project-manage initiatives and work streams; keeping track of progress, identifying areas for efficiencies, and ensuring timely completion of projects Manage clear communication between stakeholders, identify gaps in visibility and propose solutions Independently and proactively provide solutions to issues and escalate if necessary Stay abreast of the leaders’ priorities and major projects, serving as a resource for other stakeholders when needed Help plan offsites and team events Develop peer relationships with other Executive Business Partners in the org&a

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As the Engineering Manager for the Lakehouse Foundation team, you will lead a group of engineers responsible for the foundational data layer that all of Lyft's data systems and emerging AI workloads are built on. The team owns catalog and metadata management, table formats and storage, and the access patterns and gateways through which other engineering teams interact with Lyft's data. As Lyft converges on a unified lakehouse architecture, this team builds and operates the single source of truth that powers analytics, machine learning, experimentation, and every business decision made from data. You will play a key role in shaping the team's technical direction, partnering with peer Data Platform teams on a multi-year platform evolution, and developing engineers who operate with autonomy on systems of significant scale and complexity. Lyft's Infrastructure teams build the foundational systems that the rest of engineering depends on to move fast, ship reliably, and scale efficiently. These are high-leverage roles where the work you and your team do has a multiplicative effect across the company. We're looking for experienced leaders who can balance the discipline of operating critical infrastructure with the curiosity to keep evolving how Lyft builds. Engineering at Lyft is a place where managers and engineers operate with high ownership and strong technical judgment. Our engineers expect their managers to be honest, available, and focused on the work that matters: developing their teams, removing obstacles, and giving people the support they need to do their best work. We build teams that are inclusive, technically rigorous, and have a strong sense of ownership for what they build. Responsibilities: Lead a team responsible for Lyft's foundational data layer, including catalog and metadata management,

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world class team of engineers, product managers, analysts and other data scientists to help create best in class pay platforms, stop fraudulent actors from harming our riders & drivers fraud and build user trust on the Lyft platform. You will run experiments (A/B tests) and develop data driven solutions to launch new features and remove the bad actors from the Lyft platform while maintaining a positive experience for genuine users. We’re looking for an intellectually curious individual who has extraordinary attention to detail, a track record of analytical problem-solving and skilled communication. Prior experience in the fintech, fraud or identity space is preferred. Responsibilities: Design and analyze experiments in collaboration with other scientists, product & engineering; communicate findings to stakeholders and facilitate launch decisions Leverage advanced statistical techniques to generate quantitative insights and develop machine learning models Analyze the wide variety of signals available to identify patterns in large datasets and uncover root causes Partner with product managers, engineers, and operators to translate analytical insights into decisions and action Build data pipelines and develop analytical frameworks to monitor business and product performance Set business metrics that measure the health of our products, as well as passenger and driver experience Collaborate with product and engineering and communicate findings to stakeholders in a clear and concise manner Experience: Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 4-6+ years of industry experi

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Scientist working on Causal Inference in SCC, you'll partner with a strong team of engineers, product managers, designers, and operations leaders to deliver a personalized and exceptional experience for Lyft customers, using rigorous causal inference to guide the highest-stakes decisions we make. We're looking for a motivated and talented Data Scientist with deep causal inference expertise to join the SCC Data Science team. You'll partner closely with the area's tech lead on high-impact work spanning AI-powered support products, differentiated service, and operations optimization. The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity in complex problem spaces. You'll work on projects like: Design rigorous experiments and quasi-experiments to measure the causal impact of SCC product and AI-agent launches, and drive data-informed launch decisions. Build causal ML models to optimize concession budget allocation, targeting the right support credit, to the right rider or driver, at the right moment to maximize trust and business impact. Quantify the long-term effects of support-experience changes on rider and driver retention, and uncover heterogeneous treatment effects across our community. Deliver strategic insights on quality–cost tradeoffs, empowering leadership to balance service quality, coverage,