Software Engineer I - Streamer Monetization Experience

Join our innovative team at Twitch as a Software Engineer I specializing in Monetization Machine Learning. In this role, you will be integral in developing and implementing machine learning models that enhance our monetization strategies, ensuring a better experience for creators and viewers alike. You will work alongside talented engineers and data scientists to build scalable solutions that drive growth and improve our platform.

Role overview Quizlet is looking for a Machine Learning Engineer to join the Monetization and Decision Systems team. The focus is on building models that help drive user engagement and support revenue growth using data-driven approaches. What you will do Design and implement machine learning models that contribute to monetization strategies and decision-making systems. Collaborate with engineering, product, and design teams to deliver solutions that scale. Apply machine learning skills to develop products used by millions of learners. Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

Be a Force for Good with Axon.At Axon, our mission is to protect life by addressing society's most pressing safety and justice challenges through a suite of innovative devices and cloud software. We thrive on collaboration, valuing diverse perspectives from our customers, communities, and one another.Life at Axon is dynamic, challenging, and impactful. You will be empowered to take ownership and instigate meaningful change. Experience personal growth while dedicating your efforts to a mission that matters at a company where you are valued.Your ImpactAs a Senior Machine Learning Engineer specializing in Sensor Fusion & Tracking, you will engage in the research, design, and validation of sophisticated estimation and probabilistic models that drive Dedrone's real-time airspace awareness systems. Your contributions will underpin the mathematical principles that facilitate multi-sensor fusion, multi-target tracking, and uncertainty modeling in intricate environments. This role presents the unique chance to apply advanced theoretical concepts to operational systems that bolster critical safety initiatives globally.

At Lyft, we are dedicated to fostering connections and serving our community. Our mission is realized by creating an inclusive workplace where every team member has the chance to excel. With over 500 million rides completed, Lyft is tackling complex challenges on a grand scale, utilizing Artificial Intelligence (AI) and Machine Learning (ML) to enhance our customer service. 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 developing AI Platform components that support essential AI applications across Lyft. This position requires expertise in Generative AI and platform development. In this role, you will help build a platform that facilitates real-time, online, and offline execution, development, and iteration of AI and ML models. Collaborating with a team of driven Machine Learning and Software Engineers, you will tackle challenging issues and create solutions that have a direct impact on our systems company-wide. If you are enthusiastic about constructing an AI Platform at scale, with applications that span every aspect of our organization, we want to hear from you. We are seeking individuals who are innovative and analytical thinkers, experienced in AI and machine learning systems, and passionate about leveraging data to address business challenges in a dynamic, creative, and collaborative environment.

Join Hive as a Senior Machine Learning EngineerAt Hive, we are at the forefront of cloud-based AI innovation, providing solutions that empower organizations to understand, search, and generate content seamlessly. Our advanced AI models are trusted by leading global enterprises, processing billions of API requests monthly. We also deliver ready-to-use software applications that leverage our proprietary AI models and datasets, driving transformative applications in content moderation, brand protection, sponsorship measurement, context-based ad targeting, and much more.With over $120M raised from top-tier investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive boasts a diverse team of over 250 professionals across our San Francisco, Seattle, and Delhi offices. If you are passionate about shaping the future of AI, we want to hear from you!Your Role as a Machine Learning EngineerTo achieve our ambitious vision, we are expanding our team of elite machine learning engineers. We seek developers who are not only enthusiastic about deep learning but also eager to prototype cutting-edge neural network models and deploy them to production. The ideal candidate thrives on tackling terabyte-scale datasets, embraces continuous learning across the entire machine learning stack, and demonstrates a proactive approach to project ownership. A successful applicant will have a track record of building machine learning-powered projects from inception, contributing innovative ideas, and designing scalable, maintainable data pipelines.

Join Signifyd, a leader in eCommerce fraud protection, as a Senior Machine Learning Engineer I / II. In this role, you will leverage advanced machine learning techniques to enhance our fraud detection systems. You will work collaboratively with a team of talented engineers and data scientists to develop innovative solutions that protect businesses from fraud.

Join Hive as a Senior Machine Learning Engineer and be part of a pioneering team that is shaping the future of AI. We are seeking innovative developers who are passionate about deep learning and eager to design and deploy cutting-edge neural network models. In this role, you will work with large-scale datasets and contribute to the development of scalable, maintainable data pipelines. Your expertise will help us enhance our AI solutions, enabling transformative applications across various industries.

Join Hive, a pioneering force in cloud-based AI solutions, as a Senior Machine Learning Engineer. In this role, you will be instrumental in advancing our mission by designing, prototyping, and deploying cutting-edge neural network models. You will work with large-scale datasets, embrace innovative technologies across the machine learning spectrum, and take pride in delivering high-quality, scalable data pipelines. We seek individuals who are passionate about the latest advancements in deep learning and thrive in a fast-paced environment where ownership and creativity are valued.

At PitchBook, a subsidiary of Morningstar, we are committed to forward-thinking innovation. Our culture is rooted in collaboration, energy, and a shared enthusiasm that permeates our work environment. We offer comprehensive learning programs and mentorship opportunities that nurture a culture of curiosity, motivating us to discover new solutions and improve our processes continuously. The dynamic nature of our industry, combined with our ambitious goals, presents challenges; however, we thrive on overcoming them through innovation, risk-taking, and a relentless pursuit of excellence.If you bring a positive attitude and a willingness to take initiative, PitchBook is the perfect place for you.About the Role:As a vital member of the Product and Engineering team at PitchBook, you will join a group of visionary thinkers and innovators dedicated to enhancing our impact on clients and the company. We prioritize curiosity and strive for continuous improvement, with customer empathy at the core of our product development efforts.Recognizing that success is built on teamwork and diverse perspectives, we collaborate closely with global partners. Our team fosters a culture of respect, constructive dialogue, and integrity, investing in our personnel who are eager to learn and grow. Join us and advance your career!As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will be instrumental in delivering AI-driven features that yield valuable insights from PitchBook’s extensive data resources.

Join Axon and be a Force for Good.At Axon, we’re dedicated to our mission of Protecting Life. As pioneers in the safety and justice fields, we leverage an ecosystem of devices and cloud software to tackle society's most pressing issues. Our collaborative approach thrives on open communication and a commitment to diverse perspectives, allowing us to connect meaningfully with our customers and communities.Life at Axon is dynamic, challenging, and impactful. Here, you will take the lead in driving transformative changes and grow continually while contributing to a mission that truly matters in a company where your contributions are valued.Your ImpactIf you have a passion for artificial intelligence and enjoy engineering innovative solutions that accelerate cutting-edge scientific advancements, we want you!As a Principal Machine Learning Engineer at Dedrone, you will play a pivotal role in architecting and implementing the platform utilized by Dedrone scientists to deliver safe, secure, and reliable AI features in the counter-UAS domain. By collaborating closely with both scientists and software engineers, you will facilitate the introduction of new AI capabilities across Dedrone products. Being part of a multidisciplinary team will expose you to various domains and applications, from Multi-modal Sensor Fusion to Real-Time Systems with distributed edge computing.The ideal candidate will boast a proven track record of optimizing models for edge deployment and deploying AI solutions on devices with limited memory and connectivity, catering to users worldwide. You will have a deep understanding of the AI lifecycle, providing end-to-end support for scientists in developing new machine learning models and AI functionalities, fostering better and more responsible AI applications. We seek bold individuals who are ready to champion drone safety measures across Public Safety, Enterprise, and Defense sectors.

Join Amperity as a Lead Machine Learning Engineer, where you'll spearhead innovative projects that leverage machine learning technologies. You will be responsible for developing and deploying robust machine learning models that drive significant business outcomes. Collaborate with cross-functional teams to integrate advanced analytics into products and services, optimizing customer experiences and operational efficiency.

Join Our Team as a Senior Machine Learning EngineerAbout AZXAt AZX, we are on a mission to drive positive change in key industries through innovative AI solutions. We focus on physics-informed machine learning and enterprise AI applications that tackle pressing climate and sustainability issues.Rapidly expanding, we collaborate with leading organizations in various sectors including real estate (CBRE), energy (LevelTen Energy), logistics (Flexe), and utilities (Puget Sound Energy).Established in 2024 as a public benefit corporation, AZX has been profitable since inception, fueled by our consulting endeavors.Our work encompasses challenges in clean energy, decarbonization, climate risk, energy systems, and global economics. We are committed to fostering a workplace that inspires those passionate about AI and making a meaningful impact.About the RoleWe are looking for an experienced Machine Learning Software Engineer to enhance our client deliverables and develop our platform. As one of our initial full-time ML engineers, your contributions will significantly shape our initiatives.You'll be joining a team of seasoned professionals from the climate and AI sectors, with expertise from Microsoft, AI2, ARM, and significant utility companies, including PhDs and published ML researchers.Initially, this role will focus 70% on client delivery and 30% on platform development, transitioning to a balanced 50/50 split within the first year.Your journey will involve both enterprise-style projects and rapid innovation cycles, with increasing investment in our platform to enhance client value.Your ResponsibilitiesTransform complex client challenges into executable code.Lead projects from initial discovery to final deployment.Collaborate effectively with both client and internal project teams.Develop clean and scalable code to meet varying quality standards.Design, integrate, and productionize ML solutions, including predictive models and GenAI systems.Work with domain experts in energy, real estate, and climate to convert business requirements into ML solutions.

Join the 3D Simulation team at Zoox, where we are at the forefront of merging cutting-edge research in 3D vision with practical applications. We are seeking passionate Machine Learning Engineers to help enhance diversity in 3D environments and create a seamless blend between simulation and reality. You will leverage unparalleled sensor data and a robust infrastructure to test and validate your innovative algorithms. Our team is dedicated to generating intricate and diverse 3D environments, encompassing realistic human interactions and varied environmental conditions. Your contributions will be pivotal to our mission of advancing the field of simulation technology.

Role overview Metropolis is hiring a Senior Manager of Machine Learning Engineering in Seattle, Washington. This position leads a team dedicated to building and deploying machine learning solutions that support data-informed decisions and enhance product features. The focus is on practical applications of machine learning to address real business needs. What you will do Manage and mentor a group of machine learning engineers Supervise the design and rollout of machine learning models for production environments Encourage data-driven approaches within engineering and product teams Set the direction for machine learning projects that align with company objectives Impact This leadership role shapes the future of Metropolis’s machine learning strategy. Decisions and guidance from this position will play a key part in advancing the company’s technology and maintaining its position in a quickly evolving field.

Vilya is a pioneering computational biotechnology firm dedicated to developing innovative medicines that precisely target disease biology. We are convinced that computational methodologies are not only critical but foundational for the advancement of drug discovery and development. Our platform leverages groundbreaking research in advanced computational techniques, exploring uncharted chemical landscapes to create novel molecular structures not found in nature.We are harnessing the potential of our platform to pursue previously unattainable targets across a diverse range of medical conditions. Vilya’s mission is to address some of the most pressing unmet medical challenges of our time.Our Vision: To leverage a technological and biological revolution to enhance human health.Our Mission: To establish a leading independent biotech company focused on intelligent drug design to cure the incurable.We think from atoms to bits – and everywhere in between. We are looking for an enthusiastic, innovative, and knowledgeable Machine Learning Engineer to aid in the construction of a highly scalable computational drug discovery platform.Vilya fosters a team-centered culture and believes that onsite collaboration is vital for effective teamwork, agility, and a robust company culture. This is an onsite role at our Seattle office. Join us in making a meaningful impact for patients!RESPONSIBILITIES:Design and maintain the infrastructure that supports machine learning workflows for large-scale drug discovery.Develop and optimize algorithms for data processing, model training, and deployment.Collaborate with and assist Vilya's computational scientists in building an exceptional computational macrocycle drug discovery pipeline.

Join Axon and Be a Force for Good.At Axon, we are dedicated to the mission of protecting life. As innovators, we tackle society's most pressing safety and justice challenges through our array of devices and cloud-based software. Just like our products, we believe in collaboration—connecting with transparency and empathy, while valuing diverse perspectives from our customers, communities, and one another.Life at Axon is dynamic, challenging, and impactful. Here, you will have the opportunity to take ownership and effect real change. Continuously grow as you work hard for a mission that truly matters at a company where you are valued.Your ImpactAre you driven by a passion for AI? Do you thrive on engineering solutions that push the boundaries of science? Are you eager to play a vital role in creating products that have a positive impact on the world?As a Machine Learning Engineer at Axon, you will be instrumental in designing and implementing the platform utilized by Axon scientists to integrate secure, reliable AI features into our devices. You will collaborate closely with scientists and device engineers to enable new AI capabilities for Axon products, including Fleet, Axon Body, Axon Air, and more. Working within a multidisciplinary team, you will explore a wide range of domains and applications, from Automatic License Plate Recognition to Object Tracking and Automatic Speech Recognition.The ideal candidate will possess a proven track record of optimizing models for edge deployment, including on-device implementations with limited memory and connectivity, ensuring users around the globe are served effectively. You will have a strong understanding of the AI lifecycle, supporting scientists throughout the end-to-end development of new machine learning models and AI capabilities, leading to better and more responsible AI solutions. You will be encouraged to take bold steps in supporting your team to enable features that transform the lives of officers and drive positive impacts in public safety.

We are seeking an innovative and dedicated Engineering Manager to lead our Machine Learning Operations team at PitchBook Data. In this role, you will be responsible for overseeing the development and implementation of machine learning models, ensuring they are effectively integrated into our data products. You will manage a skilled team of engineers and data scientists, fostering an environment of collaboration and continuous learning. Your expertise will help drive our machine learning initiatives and enhance our product offerings.

At PitchBook, part of the Morningstar family, we are committed to innovation and continuous improvement. Our culture fosters collaboration, energy, and creativity, making our workplace a vibrant environment for all our team members.We offer extensive learning programs and mentorship opportunities, promoting a culture of curiosity that drives us to discover new solutions and enhance our processes. Amidst the dynamic nature of our industry, we embrace challenges and take calculated risks, learning from failures to achieve excellence.If you possess a proactive attitude and a readiness to tackle challenges, PitchBook is the ideal place for you to thrive.About the Role:As a vital member of the Product and Engineering team, you will collaborate with innovative thinkers and problem solvers who focus on enhancing the impact we make on our clients and our organization. We prioritize curiosity and empathy, striving to deliver outstanding customer experiences through product innovation.We believe in the power of collaboration and diverse perspectives, working closely with global partners. Our team culture encourages positive intent, constructive dialogue, and a respectful environment grounded in integrity and growth. We are dedicated to investing in our people, fostering an environment where continuous learning and improvement are valued. Join us and progress in your career!

Join the forefront of AI technology at Extreme Networks as a Principal Machine Learning Engineer. In this pivotal role, you will lead the design and implementation of machine learning algorithms that drive our AI initiatives. Collaborate with cross-functional teams to innovate and optimize our network solutions, delivering exceptional performance and reliability.Your expertise in machine learning and data analysis will contribute to developing cutting-edge solutions that enhance user experiences and operational efficiencies. If you are passionate about leveraging AI to transform networking technologies, we want to hear from you!