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Experience Level
Experience
Qualifications
Proficient in programming languages such as Python or Scala. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). Strong understanding of data structures, algorithms, and statistical analysis. Ability to collaborate with cross-functional teams and communicate complex ideas effectively. Experience with cloud services (AWS, Google Cloud) is a plus.
About the job
Spotify is hiring a Machine Learning Engineer focused on Personalization in New York, NY. This role centers on developing and applying machine learning algorithms to improve how users discover and enjoy music and podcasts. The work directly shapes the personalized experiences that keep listeners engaged and coming back.
What You Will Do
Design and implement machine learning models that tailor content recommendations to individual users
Analyze user behavior and preferences to inform algorithm improvements
Collaborate with product and engineering teams to integrate personalization features into the Spotify platform
About Spotify Technology S.A.
Spotify is a leading audio streaming service with millions of users worldwide. Our mission is to unlock the potential of human creativity by enabling a million artists to live off their art and billions of fans to enjoy and be inspired by it. Join us in shaping the future of music.
Spotify is hiring a Director of Machine Learning Engineering for the Surfaces Foundation team in New York, NY. This leadership role centers on guiding a team dedicated to building advanced machine learning solutions that improve user experiences across the Spotify platform. Role overview The Director will oversee machine learning initiatives, collaborating c…
Location: New York, NYStart date: ASAPLanguages: English (required)About the RolePragmatike is partnering with a rapidly expanding AI cybersecurity firm, supported by premier investors and leading AI experts. This innovative company is constructing the security framework for the AI age, safeguarding organizations against AI-driven threats like deepfakes, smishing, and synthetic voice attacks.After securing significant Series B funding from top-tier AI and venture capital partners, the firm is poised for an essential growth stage. With trust from major banking institutions, tech companies, and healthcare entities, they are accelerating their scaling efforts to fulfill enterprise demand in a market exceeding $200 billion.We seek a Director of Machine Learning to architect and develop the company’s machine learning capabilities from inception. This role is pivotal to our product vision, emphasizing strategic ownership, infrastructure establishment, and the execution of machine learning throughout the organization.Currently, there is no dedicated ML infrastructure or team in place. You will lay the groundwork: identifying where ML creates product value, designing comprehensive production systems, and guiding the technical evolution of ML across the company.This is a high-impact, autonomous position ideal for someone experienced in building ML systems in operational environments and ready to scale an ML function from the ground up.What You Will DoDefine the ML strategy for the company: determining application areas for ML across products, required infrastructure, and the approach for build versus buy decisions.Design and develop end-to-end production ML systems, including data pipelines, model training workflows, assessment frameworks, and inference serving.Establish a robust evaluation methodology to assess model quality, identify regressions, and facilitate data-driven improvements.Oversee the data strategy: identifying necessary data, establishing labeling processes, structuring feedback loops, and ensuring continuous model enhancement.Collaborate closely with product and backend engineering teams to seamlessly integrate ML into customer-facing systems.Produce high-quality code within the existing codebase and contribute to architectural decisions.As the function expands, support recruitment, mentorship, and leadership of the ML team.
Join Spotify as a Machine Learning Engineering Manager for our Surfaces Music team, where you will lead innovative projects that enhance user experience through advanced machine learning techniques. You will be responsible for overseeing the development of cutting-edge algorithms and models that power music recommendations and personalized features. Collaborate with cross-functional teams to drive strategic initiatives, mentor engineers, and ensure the delivery of high-quality machine learning solutions.
Role overview Distributed Spectrum is seeking a Machine Learning Research Specialist to advance research on RF Foundation Models. The focus of this position is on developing new machine learning methods that support radio frequency communications. What you will do Lead research into machine learning techniques tailored for RF communications. Create and evaluate new data-driven models to enhance connectivity. Work closely with colleagues who combine expertise in machine learning and radio frequency technology. The team Distributed Spectrum’s team investigates innovative approaches to connectivity and communication. Their projects push the boundaries of what is possible in machine learning and RF signal processing. Location This position is located in New York City.
Full-time|$185K/yr - $247.5K/yr|On-site|New York, NY
Why Choose Charlie Health?Across the nation, countless individuals are facing mental health challenges, substance use disorders, and eating disorders. Unfortunately, many encounter obstacles to obtaining the care they need, such as limited local options and lengthy wait times. Behavioral healthcare often fails to provide the personalized support that individuals require, leaving them feeling overlooked and unsupported.At Charlie Health, our mission is to transform this landscape. We strive to connect individuals to crucial behavioral health treatment through personalized, virtual care that fosters connections between clients and clinicians, care teams, loved ones, and their supporting communities. By prioritizing those with complex needs, we are enhancing access to significant care and achieving improved outcomes—all from the comfort of home.As a rapidly expanding organization, we are reaching more communities daily, and we are assembling a team dedicated to redefining behavioral health treatment. If you are eager to leverage your skills to create meaningful change and help individuals access the care they deserve, we invite you to join us.About the RoleCharlie Health is a leader in high-acuity virtual behavioral care, having provided life-saving treatment to over 100,000 clients across the nation. Our Matching and Outcomes team is responsible for developing products that assess and enhance clinical outcomes, including systems for provider recommendations and clinical decision support tools, ensuring effective treatment. You will design predictive models and workflows to connect patients with the most suitable therapists and peers, enabling clinicians to customize care to meet each client's unique needs. The systems you develop will empower clinicians to condense and synthesize insights from our clients and providers into actionable guidance at every step. If you are passionate about utilizing data-driven insights to enhance outcomes, this team is for you.
Full-time|On-site|New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States
Join headway as a Senior Machine Learning Engineer and make a significant impact in the field of machine learning and artificial intelligence. In this role, you will leverage your expertise to develop innovative solutions, improve existing algorithms, and collaborate with cross-functional teams to drive forward our mission of transforming the healthcare experience.
Full-time|$250K/yr - $325K/yr|Remote|New York - Remote
At Angi®, our mission for over three decades has been simple yet powerful: to ensure that jobs are done effectively. We achieve this by connecting homeowners with trustworthy professionals who possess the necessary skills, while also linking professionals with homeowners seeking the work they desire.Overview of Angi:Homeowners have relied on Angi for over 300 million projects.We cover more than 1,000 home service tasks.Our global team comprises 2,800 employees.Why Choose Angi:Angi® is shaping the future of the home services sector, fostering an ecosystem where homeowners, professionals, and employees all benefit from a higher volume of successfully completed jobs. Our platform offers homeowners a reliable means of finding skilled professionals, while we serve as an invaluable partner for professionals to discover the work they want at their convenience. We pride ourselves on being a fantastic workplace for our employees and look forward to welcoming you aboard.Role Overview:Angi is on the lookout for an outstanding Director of Artificial Intelligence & Machine Learning who will be pivotal in driving our transformation efforts. In this leadership position, you will guide our Artificial Intelligence team in addressing challenges such as integrating Angi’s search capabilities with leading LLM providers, including OpenAI GPT and Google Gemini. You will lead a dedicated team of machine learning engineers, developing ML prototypes and overseeing their deployment to production. In addition to leadership, we seek an individual who is not afraid to roll up their sleeves and tackle some of Angi’s most significant technical challenges.Your Responsibilities:Leadership: Inspire and cultivate a team of talented machine learning engineers, offering guidance, mentorship, and support to promote their professional development. For our most complex challenges, you will engage in hands-on problem-solving alongside your team.LLM Deployment and Optimization: Manage the fine-tuning and deployment of LLMs, including Retrieval-Augmented Generation (RAG) within an agentic framework, with an emphasis on optimizing model performance and scalability to enhance user experience and drive business outcomes.Integration with Third-Party AI APIs: Supervise the integration and management of AI tools and third-party solutions, including OpenAI GPT, Google Gemini, Meta AI, and Salesforce AI, to improve user experiences and business performance.Collaboration with Engineering & Product Teams: Partner with engineering, product, and design teams to develop robust and scalable real-time APIs.
Who is Nexxen?Nexxen is revolutionizing the advertising landscape with a data-driven approach that empowers advertisers, agencies, publishers, and broadcasters globally. Our innovative technology framework unifies a demand-side platform (DSP) and supply-side platform (SSP), anchored by the Nexxen Data Platform, to deliver meaningful advertising solutions.Why become a part of the Nexxen team?Join us in our mission to transform advertising through our flexible and creative solutions. At Nexxen, we value a culture that emphasizes the 3Cs - Customer Centricity, a Curious Mindset, and Collaboration without Ego. Become part of a dynamic team that thrives on commitment and ingenuity.Your Safety is Our PriorityAt Nexxen, we prioritize the safety and well-being of our employees. We are vigilant against online scams and fraudulent job postings. Please note that we will never ask for payment as a condition of employment or promote dubious financial schemes. If you encounter any suspicious communications, contact us at infosec@nexxen.com. Your trust is paramount; stay safe and informed.Position OverviewAs a Senior Machine Learning Engineer, you will join our Applied Data Science group within the Nexxen DSP Software Development team. This hands-on role involves collaborating closely with data scientists to develop cutting-edge data science infrastructure aimed at real-time performance optimization and machine learning applications. The ideal candidate will possess extensive experience in implementing machine learning technologies or data-driven algorithms, and should display a proactive and innovative mindset.We operate in a hybrid model, with team members working three days a week at our New York office and remotely for the remainder of the week.Key Responsibilities:Design and develop high-performance, large-scale services for Nexxen DSP programmatic integrations and platform products.Drive innovative solutions and implement machine learning algorithms for enhanced performance.
Full-time|$270K/yr - $310K/yr|Hybrid|New York City, New York
At Garner Health, we are dedicated to revolutionizing the healthcare economy by making high-quality and affordable care accessible to all.We are fundamentally reimagining the healthcare landscape in the U.S. by collaborating with employers to redesign healthcare benefits using transparent incentives and powerful, data-driven insights. Our innovative approach directs employees toward higher-quality, lower-cost care, fostering a healthcare system that benefits everyone. This means improved health outcomes for patients, more effective spending of healthcare dollars for employers, and rewarding physicians for providing exceptional care rather than performing unnecessary procedures.Garner is recognized as one of the fastest-growing healthcare technology companies nationally. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are eager to make a significant impact on healthcare at scale.About the Role:We are on the lookout for an outstanding Staff Machine Learning Engineer to join our dynamic team. At Garner, our Engineering team addresses complex technical challenges that have a meaningful impact on our mission. Our systems analyze billions of medical records to evaluate healthcare providers nationwide. We operate on AWS with Kubernetes and consistently integrate new technologies as our system load grows exponentially each year. We encourage our engineers to advocate for cutting-edge industry practices as we wholeheartedly incorporate AI into every aspect of our operations and standards. We value teammates who take pride in delivering exceptional work and nurturing a robust team culture.Where You Will Work:This position is based in our New York City office located in the Financial District. Candidates must be available to work in the office three days a week: Tuesday, Wednesday, and Thursday.What You Will Do:Lead technical strategy and execution at the team level over multi-quarter time frames.Utilize AI to build, optimize, and maintain machine learning, data, and software systems.Elevate the technical capabilities of engineers throughout the organization.Collaborate across disciplines to deepen domain understanding and iterate on projects.Ensure user privacy and security through adherence to best practices.
Join Spotify as a Machine Learning Engineer and be at the forefront of innovation in music streaming. In this role, you will leverage cutting-edge machine learning algorithms and data-driven insights to enhance user experiences and drive business decisions. Collaborate with cross-functional teams to develop scalable solutions that improve our recommendation systems and user engagement.
Join our innovative team at Sunset Technologies as a Machine Learning Engineer. We are dedicated to pushing the boundaries of artificial intelligence and machine learning to deliver advanced solutions that enhance our products and services. You will be involved in designing, implementing, and optimizing machine learning models to analyze large datasets, develop predictive algorithms, and contribute to the overall growth of our technology stack.
Role Overview root-access is hiring a Machine Learning Engineer in New York City. This role works closely with the tech team to design and build machine learning algorithms that support and improve our products. The position involves hands-on development, data analysis, and delivering solutions that scale as our business grows. What You Will Do Develop machine learning models tailored to product needs Analyze complex data sets to extract insights and guide model improvements Create solutions that can scale to meet increasing demand Collaborate with engineers and product teams to integrate AI-driven features Who We’re Looking For Experience building and deploying machine learning algorithms Strong interest in artificial intelligence and its practical applications Ability to work with large, complex data sets Comfort working in a collaborative, evolving tech environment
Join Spotify's innovative team as a Machine Learning Engineer, where you'll be at the forefront of developing cutting-edge algorithms that enhance user experiences. In this role, you will leverage your expertise in machine learning to create scalable solutions and drive impactful projects that shape the future of music streaming.
About the RoleAt Zencastr, we are dedicated to creating innovative end-to-end AI systems and core microservices that revolutionize the podcasting landscape. By harnessing the latest technologies, we aim to enhance the user experience for millions of podcast creators and listeners every day.We invite an exceptional Senior Machine Learning Engineer to become a vital member of our dynamic team. In this role, you will engage in large-scale machine learning projects aimed at enriching the podcast creation journey for Zencastr users.You will collaborate with a group of dedicated engineers who are enthusiastic about understanding the factors that influence long-term user satisfaction with Zencastr. Your contributions will help shape our recommendations and content strategies. As a key player in the team, you will work alongside research scientists and data professionals to prototype and implement cutting-edge machine learning solutions that intertwine speech processing with user satisfaction.Key ResponsibilitiesDesign, research, and develop pioneering machine learning applications and algorithms to enhance the experiences of podcasters and their audiences globally.Collaborate with cross-functional teams to create new product features that enhance Zencastr's machine learning services.Advance audio and text capabilities within the machine learning team.Engage with leading experts in signal processing.Ideal Candidate ProfileA Master's degree or higher in Machine Learning, Mathematics, Computer Science, or a related quantitative discipline.A minimum of 5 years of experience in Python programming.At least 3 years of experience in machine learning research, particularly with a focus on speech processing.3+ years of experience in training and deploying neural networks.Extensive experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn.Proficiency in building and maintaining production-ready machine learning systems.Ability to lead the design and implementation of significant software components and features.A passion for rapidly building model prototypes.Familiarity with cloud platforms such as Google Cloud, AWS, or Modal.A proactive mindset with the ability to spearhead projects and foster positive collaborations with partners and colleagues.
About the Role Altronix Corporation is looking for a Surface Mount Technology Machine Operator I to support its manufacturing team in Brooklyn. This entry-level position is central to the electronics production process. What You Will Do Operate and maintain surface mount technology (SMT) machines on the production line Monitor equipment performance and address minor issues as they arise Help maintain quality and efficiency standards throughout the manufacturing process Growth and Opportunity This role offers a path to learn and advance within the electronics industry. Altronix supports development for those interested in building a career in manufacturing and technology.
Full-time|Hybrid|New York, NY, San Francisco, CA or Los Angeles, CA
Join our innovative Match Team as a Senior Machine Learning Engineer at Enigmaio, where you will play a pivotal role in developing advanced algorithms and models that enhance our matching capabilities. You will collaborate with cross-functional teams to design, implement, and optimize machine learning solutions that drive business outcomes.
Role Overview Spotify is hiring a Machine Learning Engineer focused on Personalization in New York, NY. This role centers on developing and applying machine learning algorithms to improve how users discover and enjoy music and podcasts. The work directly shapes the personalized experiences that keep listeners engaged and coming back. What You Will Do Design and implement machine learning models that tailor content recommendations to individual users Analyze user behavior and preferences to inform algorithm improvements Collaborate with product and engineering teams to integrate personalization features into the Spotify platform
About TennrAt Tennr, we are transforming the way healthcare referrals are managed. When patients are referred to specialists, they often face frustrating delays. Our innovative platform, powered by RaeLM™, ensures that every referral is processed swiftly and accurately, allowing healthcare providers to capture more referrals and reduce denials. Join us in revolutionizing the healthcare experience.About the RoleAs the pioneering ML Ops Engineer at Tennr, you will be instrumental in developing and refining our Machine Learning and AI infrastructure. You will be responsible for creating and optimizing machine learning training and inference pipelines that can manage escalating traffic demands and an expanding range of products. Your expertise will ensure that our AI-driven healthcare platform operates on robust, scalable, and efficiently deployed models.Our Machine Learning team is at the forefront of innovation, developing proprietary VLMs, LLMs, and other specialized models tailored to address critical healthcare challenges. This is not just a position of maintaining existing systems; it is an opportunity to lead groundbreaking experimentation and the introduction of new capabilities. Your contributions will significantly impact our ML and data systems, enhancing Tennr's ability to solve vital issues for patients and healthcare providers.Key ResponsibilitiesDesign, architect, and implement scalable ML software systems for model deployment and management.Maintain infrastructure that supports efficient ML operations, including data pipelines, model evaluations, and large-scale training.Work collaboratively with ML engineers, software developers, and cross-functional teams to integrate models seamlessly with data pipelines and products.Identify and resolve production issues while continuously enhancing system performance and efficiency.Develop tools for online and offline evaluation of ML and LLM systems.
Hello! I’m Aidan, the founder of Maple.At Maple, we are on a mission to revolutionize local businesses by creating intelligent AI agents. Our agents efficiently manage tasks such as answering calls, taking orders, and booking appointments, providing seamless interactions through natural voice communication.Our deeper mission: We are developing automated ontologies that accurately reflect the operational realities of businesses — capturing their services, workflows, constraints, and unique language — allowing our agents to adapt instantly to diverse business needs. We strive to meet businesses where they are, rather than imposing a rigid software framework.With a growing customer base, strong revenue growth, a secure financial runway, and support from esteemed investors, we are positioned for exciting advancements. More details will be shared during our conversation.Role OverviewAs a Machine Learning Research Engineer at Maple, you will be integral to our core product team, transforming innovative research into production-ready voice agents that facilitate millions of customer interactions for small businesses. You will collaborate with experts from prestigious institutions such as Google Brain, Two Sigma, Stanford, MIT, Columbia, and IBM to swiftly deploy sophisticated models and systems that have a direct impact on small enterprises.Our team operates in person, five days a week in our vibrant NYC office. Our collaborative environment is characterized by rapid-paced, dynamic interactions filled with trust and transparency. We embrace a culture of speed and adaptability, tackling challenges head-on.Key ResponsibilitiesEnhance automatic speech recognition (ASR), large language models (LLMs), and text-to-speech (TTS) systems for practical applications, ensuring high accuracy in diverse and noisy environments.Fine-tune LLMs utilizing retrieval-augmented generation (RAG), reinforcement learning (RL), and prompt engineering for engaging, contextually aware dialogues.Integrate AI components into autonomous agents capable of executing complex tasks such as scheduling, order management, and problem resolution.Design human-in-the-loop and automated systems for monitoring performance, identifying anomalies, and iteratively improving models based on real-world feedback.Develop pipelines for building knowledge graphs from business data, enhancing dynamic AI interactions.Collaborate with infrastructure teams to scale models effectively, ensuring robust performance and reliability.
Full-time|$170K/yr - $240K/yr|On-site|New York, NY; San Mateo, CA
About Us:At Fireworks AI, we are pioneering the future of generative AI infrastructure. Our platform is recognized for delivering the highest-quality models with the fastest and most scalable inference capabilities in the industry. Proudly benchmarked as a leader in LLM inference speed, we are at the forefront of innovation with projects like function calling and multimodal models. As a Series C company valued at $4 billion, we are supported by prestigious investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our team comprises ambitious builders, many of whom hail from Meta PyTorch and Google Vertex AI.The Role:As an Applied Machine Learning Engineer, you will play a crucial role in bridging the gap between advanced AI research and practical applications. Your responsibilities will include developing, fine-tuning, and operationalizing machine learning models that deliver significant business value and enhance user experiences. This hands-on engineering position demands a blend of deep technical expertise and a strong customer-centric approach to create scalable AI solutions.Key Responsibilities:Customer Success: Collaborate with the Go-To-Market (GTM) team, including Account Executives and Solutions Architects, to ensure seamless integration and successful deployment of machine learning solutions.Demo / Proof of Concept (PoC): Develop and present engaging PoCs that showcase the capabilities of our AI technology.Application Build: Design, develop, and deploy end-to-end AI-powered applications customized to meet customer needs.Platform Features / Bug Fixes: Contribute to the internal machine learning platform by adding features and resolving issues.New Model Enablements: Integrate and enable new machine learning models within the existing platform or client environments.Performance Optimizations: Enhance the performance, efficiency, and scalability of deployed models and applications.Partnership Enablement: Collaborate closely with partners to facilitate joint AI solutions and ensure effective collaboration.
