Machine Learning Engineer - Lyft Business

Lyft’s Business team is hiring a Machine Learning Engineer to develop algorithms and models that improve operations and customer experience. This position plays a key part in shaping how Lyft’s services perform by turning data into actionable insights. What you will do Design and build machine learning models to support Lyft Business operations Develop algorithms that enhance service quality and efficiency Work with data to uncover insights that inform business decisions Location This role is based in New York, NY or San Francisco, CA.

At Lyft, we are driven by our mission to connect and serve our communities. We strive to foster a workplace where every team member feels valued and has the opportunity to excel. With over half a billion rides and counting, Lyft is tackling complex challenges on a grand scale, utilizing cutting-edge AI and Machine Learning technologies to enhance customer experiences. The Artificial Intelligence, Machine Learning, and Operations Research Platforms team (AIMLOR) is on the lookout for a Senior Machine Learning Engineer who will play a pivotal role in constructing AI Platform components that empower essential AI applications across Lyft. Mastery in Generative AI and platform development is crucial for this position. You will contribute to our platform that facilitates real-time, online, and offline AI and ML model execution, development, and iteration. Collaborating with a team of talented Machine Learning and Software Engineers, you will work on intricate problems and define solutions that make a direct impact on our systems throughout the organization. If you are enthusiastic about building an AI Platform at scale with applications spanning every aspect of our company, we want to hear from you. If you are a creative thinker with a strong background in AI and machine learning systems and are passionate about leveraging data to solve business challenges in a dynamic, innovative, and collaborative environment, we invite you to apply.

About the Role Lyft Ads is looking for a Data Science Manager with a focus on Machine Learning. This position is based in San Francisco, CA. What You Will Do Lead a team of data scientists working on advertising solutions Guide the development and optimization of machine learning algorithms Improve user targeting methods to increase advertising effectiveness Analyze large datasets to support strategic decisions across Lyft Ads Shape advertising performance and influence user engagement through data-driven insights What We’re Looking For Experience managing data science teams Strong background in machine learning and algorithm development Ability to work with large-scale datasets Skilled at translating analysis into actionable business strategies

At Lyft, our mission is to connect and serve communities by fostering an inclusive work environment where every team member feels valued and empowered to excel.With over half a billion rides completed, Lyft is tackling complex challenges in a fast-evolving landscape filled with extensive data and innovative solutions across various domains including Marketplace, Mapping, Fraud Prevention, Trust & Safety, and Growth. As we redefine transportation with our next-generation platform, we utilize advanced machine learning techniques that process peta-byte scale data to create low-cost, ultra-immersive transportation solutions that enhance lives. Our dedicated Machine Learning Engineers are at the forefront of these efforts, crafting solutions that significantly influence our core business operations.If you are a critical thinker with a robust background in machine learning workflows, passionate about leveraging data to solve business challenges, and thrive in a dynamic, collaborative setting, we want to hear from you!As a Senior Machine Learning Engineer, you will design and implement algorithms that drive the core services and influential products of our platform. The range of challenges we tackle is remarkably diverse, spanning transportation, economics, forecasting, mapping, safety, personalization, and adaptive control. We are eager to welcome motivated experts in these fields who are excited about developing reliable ML systems and solving problems through data in an innovative and fast-paced environment.

Join Lyft as a Data Scientist specializing in Machine Learning, Pricing, and Rider Engagement. In this role, you will leverage your expertise in data analysis to improve pricing strategies and enhance rider experiences. Collaborate with cross-functional teams to design, implement, and optimize machine learning models that drive decision-making and business growth.

Join Lyft Business as a Senior Software Engineer and play a pivotal role in shaping the future of transportation. You will be responsible for designing and implementing innovative software solutions that enhance our platform's efficiency and effectiveness. Collaborate with cross-functional teams to deliver high-quality products that meet the needs of our users and businesses.

Join Lyft Business as a Senior Product Manager, where you'll play a pivotal role in shaping our product strategy and enhancing the user experience for businesses using our platform. You will collaborate with cross-functional teams, engage with stakeholders, and drive product innovation to meet the evolving needs of our corporate clients.

As an Executive Business Partner at Lyft, you will play a pivotal role in driving strategic initiatives and supporting executive leaders to ensure alignment with company goals. Your expertise will be instrumental in enhancing operational efficiency and fostering collaboration across departments.

Lyft Urban Solutions seeks a Firmware Engineer based in San Francisco, CA. This position centers on creating reliable firmware for urban transportation systems, supporting technology that helps cities operate more efficiently and safely. Responsibilities Design and maintain firmware for Lyft Urban Solutions products Collaborate with engineers and product teams to introduce new features and refine existing ones Take part in projects aimed at improving urban mobility and driving transportation innovation Team Environment The team values collaboration and practical problem-solving. Engineers here share a commitment to enhancing city transportation for everyone, working together to deliver solutions that have a real impact.

At Lyft, we are driven by our mission to connect people and foster community. We strive to create an inclusive work environment where every team member feels valued and has the opportunity to excel.Lyft Ads, one of our most dynamic and rapidly expanding divisions, is dedicated to developing the world’s premier transportation media network. Our goal is to enable brands to engage with riders at pivotal moments throughout their journey—before, during, and after their rides—by delivering impactful, contextually relevant advertising experiences. We operate at the forefront of mobility data, real-time decision-making systems, and AI-driven personalization, empowering advertisers to execute high-impact campaigns with measurable success.We are currently in search of an Algorithms Scientist to spearhead the development of next-generation algorithms focused on ad relevance, targeting, optimization, and measurement that underpin the Lyft Ads platform. In this pivotal role, you will navigate large-scale datasets and intricate real-time systems to design, prototype, and deploy robust machine learning models. Your collaboration with cross-functional teams, including Engineering, Product, Data Science, and Sales, will be instrumental in translating complex business and advertiser needs into effective algorithmic solutions that enhance ad performance, optimize marketplace efficiency, and drive significant revenue growth.This is a high-impact, technically demanding position within a rapidly scaling business unit. The ideal candidate will possess a strong intuition for applied machine learning, extensive hands-on modeling experience, and the capability to write clean, efficient production code. You will play a crucial role in transforming how advertisers connect with Lyft riders, pushing the envelope on personalization, measurement, and real-time optimization in a fast-paced marketplace.

Join Orchard as a Machine Learning Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage your expertise in machine learning algorithms and data analysis to develop innovative solutions that enhance our products and services.We are looking for a proactive team player who thrives in a fast-paced environment and possesses strong problem-solving skills. You will collaborate with cross-functional teams, engage with large datasets, and contribute to the design and implementation of machine learning models.

Join Our Innovative Team at HiveHive is at the forefront of cloud-based AI solutions, revolutionizing how organizations understand, search for, and generate content. Trusted by many of the world's largest and most groundbreaking companies, we empower developers with premier pre-trained AI models that handle billions of API requests monthly. Our turnkey software applications leverage proprietary AI models and datasets, driving transformative advancements in content moderation, brand protection, sponsorship measurement, and context-based ad targeting.With over $120M in funding from prominent investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive is rapidly expanding. Our dynamic team of over 250 employees operates from our San Francisco, Seattle, and Delhi offices. If you are passionate about shaping the future of AI, we invite you to explore opportunities with us!About the Machine Learning Engineer RoleAs we strive to achieve our ambitious vision, we seek exceptional machine learning engineers to join our team. We are looking for enthusiastic developers who are eager to remain at the cutting edge of deep learning technology, designing and deploying state-of-the-art neural network models into production. Our ideal candidates thrive in working with large-scale datasets and demonstrate a keen interest in mastering new technologies across the machine learning spectrum. We value individuals who are proactive and take ownership of their projects, contributing innovative ideas and practical implementations. Experience in building machine learning applications from the ground up and designing scalable, maintainable data pipelines is essential.

Join Handshake as a Machine Learning Engineer I, where you will have the opportunity to work on cutting-edge machine learning projects that drive our innovative solutions. Collaborate with a talented team to develop algorithms and models that enhance our product offerings and improve user experiences.

Join our dynamic Personalization team at Boomtrain as a Machine Learning Engineer. We are in search of a skilled engineer who will play a pivotal role in developing and enhancing our recommendation systems that cater to a variety of customers.In this role, you will collaborate with a talented team dedicated to designing and implementing innovative models and systems that deliver personalized recommendations. You will have the opportunity to work on complex engineering challenges and contribute to generating hundreds of millions of recommendations daily.This position offers a unique chance to engage in end-to-end project work and make a significant impact on our personalization initiatives.Key Responsibilities:Research and propose advanced recommendation and optimization models to enhance our personalization systems.Develop and maintain offline model generation pipelines.Design and maintain online recommendation serving systems.

OverviewPulse is revolutionizing data infrastructure by addressing the critical challenge of extracting accurate, structured information from complex documents on a large scale. Our innovative approach to document understanding integrates intelligent schema mapping with advanced extraction models, outperforming traditional OCR and parsing methods.As a dynamic and rapidly growing team of engineers based in San Francisco, we empower Fortune 100 companies, Y Combinator startups, public investment firms, and growth-oriented businesses. With the backing of top-tier investors, we are on an exciting growth trajectory.What sets our technology apart is our cutting-edge multi-stage architecture:Layout comprehension with specialized component detection modelsLow-latency OCR models designed for targeted data extractionAdvanced algorithms for determining reading order in complex formatsProprietary table structure recognition and parsing capabilitiesFine-tuned vision-language models for interpreting charts, tables, and figuresIf you are passionate about the convergence of computer vision, natural language processing, and data infrastructure, your contributions at Pulse will directly influence our customers and shape the future of document intelligence.

Join Handshake as an Associate Machine Learning Engineer and embark on an exciting journey in the world of artificial intelligence and machine learning. In this role, you will collaborate with a talented team to develop innovative solutions that leverage cutting-edge technologies. You'll have the opportunity to contribute to real-world projects, enhancing your skills while driving impactful results.

Charter:Join us as a pivotal member of a groundbreaking team dedicated to revolutionizing the field of toxicology by developing advanced AI systems that will replace traditional lab and animal experiments.What We Seek:We are on the lookout for exceptional individuals who can inspire those around them and drive the team towards greatness. Our ideal candidate is someone with high agency—able to identify priorities and take action. We value unique passions and hobbies that may seem niche but reveal a deep commitment and curiosity when explored. Candidates should approach challenges with both intentionality and a sense of wonder, embodying the spirit of exploration akin to an immigrant in a new land or a self-taught coder. A strong desire to learn and grow, coupled with technical excellence and a commitment to mastering one’s craft, is essential. We want those who are willing to tackle daunting challenges and derive satisfaction from the journey as much as the outcome.Your Responsibilities:Establish the foundational end-to-end ML/AI system, including wetlab data generation, data cleaning/processing, model architecture, training, inference, and deployment strategies.Lead innovative research and development initiatives focused on elucidating the interplay between chemistry and biology.Design and scale large models that are pretrained on paired chemistry and biological imagery.Conduct applied research aimed at optimizing, aggregating, and pooling embeddings.Become a thought leader in emerging and underexplored domains, such as molecular graph representations and generative diffusion for biological applications.Develop entrepreneurial skills alongside engineering expertise by creating impactful solutions that deliver substantial value for scientists.Deliver outstanding technology and products that redefine industry standards.Preferred Attributes:...

Position: Machine Learning EngineerAbout Us:At UnitX, we are pioneering the development of cutting-edge physical AI systems designed to automate repetitive visual tasks within manufacturing environments. Our dynamic startup thrives on a diverse team of experts from renowned institutions such as Stanford, MIT, and Google. To date, we have successfully implemented over 1,000 mission-critical AI systems across more than 190 of the world's top manufacturing production lines. Annually, our AI inspection systems oversee the quality of products valued at $15 billion.Join us for a unique opportunity to contribute to groundbreaking computer vision technologies that are transforming global manufacturing efficiency.Your Responsibilities:Design and implement innovative algorithms to analyze raw sensor data for defect detection, focusing on pixel-level precision in high-resolution image and 3D data segmentation.Develop robust software solutions that operate continuously on production lines, executing our algorithms in real-time with decision-making latency under 20ms.Create metrics and tools for comprehensive model performance evaluation, enhancing system visibility and interpretability.Research and explore novel methodologies, pushing the boundaries of AI technology, including Stable Diffusion and SAM, to deliver critical applications in manufacturing.Who You Are:Bachelor's degree in Computer Science, Mathematics, Physics, or a related technical discipline, or equivalent experience showcasing solid mathematical foundations.A minimum of 2 years of experience developing machine learning models focused on computer vision applications in production settings.Deep understanding of Deep Learning theories and practical applications, with proficiency in frameworks such as PyTorch or TensorFlow. Strong Python programming skills for creating efficient, maintainable solutions within extensive codebases.Excellent communication and decision-making abilities, able to articulate experimental rationale and judiciously navigate between exploration and exploitation strategies.Demonstrated resilience and adaptability in complex, uncertain environments.Preferred Qualifications:Experience with large-scale data processing and algorithm optimization.Familiarity with tools for machine learning and data visualization.

Lyft seeks a Senior Accountant based in San Francisco, CA. This position manages the company’s financial records and prepares detailed reports to support decision-making. Role overview The Senior Accountant ensures compliance with accounting standards and works closely with teams throughout Lyft. This collaboration helps maintain accurate financial data and supports the company’s ongoing growth plans. Key responsibilities Maintain and manage financial records Prepare detailed financial reports Ensure compliance with accounting standards Work with cross-functional teams to support Lyft’s financial performance

Join Hive as a Senior Machine Learning Engineer and help shape the future of AI! We are seeking passionate individuals who excel at developing and deploying cutting-edge deep learning models. In this role, you will work with large-scale datasets to create innovative machine learning solutions, collaborating closely with a talented team of engineers to push the boundaries of artificial intelligence. Ideal candidates will have a proven track record of building and scaling machine learning projects from conception to production, along with a strong commitment to continuous learning and personal ownership in their work.