Senior Machine Learning Engineer - AI Automation

Join Our TeamAt Unity, we are pioneering a cutting-edge ad-tech ecosystem that connects billions of users with the games and experiences they cherish. The Advertiser Growth team is integral to this vision, managing the online ads delivery stack, including auction, pacing, and bidding systems. As a Senior Machine Learning Engineer, you will play a crucial role in modernizing our core infrastructure and developing the backend systems for next-generation AI agents that transform the campaign experience. This position provides the opportunity to tackle intricate system challenges at a massive scale while directly impacting Unity's revenue growth.

About SandbarSandbar is a pioneering technology company based in New York City, dedicated to enhancing human capabilities in an agentic world. Our mission is to empower individuals to think, act, and move with freedom. Our innovative team has developed software, machine learning, and hardware solutions that have been instrumental in the success of leading companies such as Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.Our flagship product, Stream, represents a groundbreaking human-agent interface—a private voice ring and conversational computer. Stream has garnered attention in prestigious publications like the Wall Street Journal, Bloomberg, and Wired, with shipments set to commence in Summer '26.We invite you to join us in shaping a new paradigm for self-augmentation.

Confido is revolutionizing the AI infrastructure that empowers Consumer Packaged Goods (CPG) brands by streamlining critical processes from deduction to production planning. Our integrated platform unifies cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics. This integration results in significant time savings, enhanced decision-making, and accelerated scaling capabilities.With over 200 trusted brands managing more than $20 billion in revenue—including notable names like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana—Confido has demonstrated exceptional growth. Recently, we secured a $15 million Series A funding round led by Footwork Ventures and Y Combinator to further drive our expansion.As a Senior Machine Learning / AI Engineer, you will play a pivotal role in developing the AI systems that form the backbone of the Confido platform. Your responsibilities will span from LLM-powered document understanding to creating predictive models that assist brands in making informed decisions.You will collaborate closely with engineering and product teams to transition AI capabilities from research into practical applications.

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.

About MercivMerciv is an innovative AI and data analytics startup committed to redefining how businesses leverage strategic intelligence. Our mission is to revolutionize the way organizations utilize data, derive insights, and make informed strategic decisions through state-of-the-art AI pipelines and dynamic forecasting tools.We envision a future where every business decision is backed by timely and relevant data, merging AI capabilities with human intuition. Our technology:Integrates various data sources into a unified intelligence layerEnhances human decision-making through autonomous AI analyticsReveals insights and opportunities often overlooked by traditional toolsPredicts outcomes and assists teams in navigating uncertainty with clarityEmpowers organizations to shape their markets proactively instead of merely reactingWe are developing robust, scalable, and genuinely intuitive solutions that empower teams across all levels of an organization, not just the data team. Having successfully raised $14M in seed funding, we have cultivated a strong engineering culture and are poised to launch publicly after nearly two years in stealth mode.About the TeamOur team is dedicated to building an agentic AI platform that transforms how enterprises engage with data. Merciv connects an organization’s entire data landscape with external sources—such as social media trends, industry reports, and consumer behavior signals—enabling swift insights and automating workflows that previously took analysts weeks.We prioritize simplicity in powerful tools. Every feature is designed to be intuitive, and every component is interactive. We want users to feel empowered and capable of achieving more with Merciv than ever before.Our agile, lean team thrives on innovation and the autonomy to make impactful decisions. We operate under a DRI (Directly Responsible Individual) model, where you will take ownership of major product features from conception to launch—not merely contributing to them. You will wear multiple hats, and this is by design.Our work environment fosters creativity and cutting-edge technology, ideal for those eager to influence the future of human-AI collaboration. If you are excited to be part of a fast-paced, innovative startup culture and make a significant impact on client businesses, Merciv is the perfect place for you. Join us as we broaden the horizons of retail intelligence and deliver unparalleled value to our clients.

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.

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.

At Confido, we are revolutionizing the AI infrastructure for consumer packaged goods (CPG) brands, streamlining everything from deductions to production planning. Our platform integrates cash applications, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics into a cohesive system. The outcome is significant time savings, enhanced decision-making capabilities, and accelerated growth potential.We proudly serve over 200 brands, managing more than $20 billion in revenue, with clients like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana.With our recent successful $15 million Series A funding round led by Footwork Ventures and Y Combinator, we are poised for rapid expansion.As a Staff AI / ML Engineer, you will play a crucial role in developing and implementing the core AI systems that power our platform, including LLM-driven document understanding and predictive models that assist brands in making informed decisions.This foundational position will involve direct collaboration with our CEO and CTO to define our long-term AI strategy and architecture.

Join SoundCloud, a leading platform that enables artists and fans to connect and share their passion for music. Established in 2007, our artist-first approach empowers creators to develop their careers with innovative tools, services, and resources. With a catalog featuring over 400 million tracks from 40 million artists, the future of music is unfolding at SoundCloud. We are seeking a Senior Machine Learning Engineer to become an integral member of our Reco-Core team. This role presents an exciting opportunity to influence and steer the machine learning initiatives for one of SoundCloud's most essential product areas. You will collaborate closely with machine learning, data, and backend engineers to design, implement, and deploy models that facilitate music discovery for millions of users across our extensive audio catalog.Key Responsibilities:Create and deploy comprehensive machine learning solutions for recommendation systems, focusing on candidate generation, personalization, user and item modeling, and ranking algorithms.Oversee the entire machine learning lifecycle, from prototyping and evaluation to deploying scalable models and monitoring performance in production.Enhance and expand the foundation for ML engineering and MLOps within the Reco-Core team, establishing best practices and developing tools for rapid iteration.Collaborate with analysts and data scientists to convert research findings into production-ready systems.Work alongside fellow ML engineers to utilize shared infrastructure and collective expertise.

Join Hinge – The Dating App Designed to Be DeletedIn an era where forging genuine connections is increasingly challenging, Hinge is committed to fostering meaningful relationships and reducing loneliness. Our obsession lies in understanding user behavior to facilitate love, with our success measured by a straightforward yet vital metric – helping users set up great dates. With millions of users worldwide, we've established ourselves as the most reliable platform for finding relationships.About the OpportunityAs a key member of Hinge’s AI Platform Core team, you will play a pivotal role in shaping and enhancing our evolving Machine Learning platform. This position focuses on accelerating the development, deployment, and operation of AI-driven features within Hinge. If you are passionate about tackling challenges such as optimizing our training and serving frameworks for real-time predictions, implementing automatic model performance monitoring systems, and architecting generative AI solutions, we invite you to explore this opportunity!Our mission is to democratize AI at Hinge, ensuring it remains accessible, robust, scalable, cost-effective, and trustworthy. You will collaborate closely with product and platform teams and engage with external stakeholders, including data scientists and backend engineers. By understanding the needs of our internal customers, you will deliver incremental value aligned with their challenges. In a small, impactful team, you’ll have a broad scope of responsibilities and the chance to significantly influence the future of Machine Learning at Hinge.

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.

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the core of our operations, supported by a world-renowned newsroom that reports from nearly 160 countries. We prioritize the reader's experience across various platforms, from print to digital, with a commitment to delivering exceptional journalism that resonates with our audience.About the Role:The Machine Learning (ML) team at The New York Times is dedicated to enhancing the experience of our 150 million global digital readers and expanding our subscriber base through intelligent content recommendations and personalization.As an MLOps Engineer, you will work alongside product managers, data scientists, and ML platform engineers to build and sustain the infrastructure that drives the machine learning lifecycle. Your expertise will be essential in automating and refining the processes for the training, deployment, monitoring, and management of ML models.This position reports directly to the Senior Engineering Manager of Data Management Infrastructure.

Join Hinge: The Dating App Designed for Lasting ConnectionsIn an increasingly digital landscape, fostering authentic relationships can be challenging. At Hinge, we are committed to nurturing intimate connections and creating a world where loneliness is a thing of the past. Our passion lies in analyzing user behaviors to facilitate meaningful matches, and our success is measured by one key outcome – facilitating incredible dates. As a globally recognized platform with millions of users, we pride ourselves on being the most reliable choice for finding genuine relationships.Position Overview: The Dating Outcomes team plays a pivotal role in ensuring users discover their most compatible matches, enhancing their profiles for better visibility, and initiating significant conversations upon matching. In essence, we empower users to embark on extraordinary dates!We are seeking experienced Senior Machine Learning Engineers to pioneer an AI-driven dating experience by utilizing cutting-edge technologies and Hinge’s rich historical preference data. You will be responsible for developing end-to-end recommendation systems, experimenting with large language models (LLMs), and employing photo and mixed input embedding techniques. Additionally, you will design and implement real-time predictive models that have a direct impact on the experiences of millions of users. This is a rapidly evolving team where you will have the chance to shape the strategy, vision, and roadmap for advancing machine learning at Hinge.

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.

Trunk Tools seeks a Senior Machine Learning Engineer to join its team onsite in New York City. This role centers on creating and deploying models that drive the company’s main objectives. Working alongside colleagues from various backgrounds is a key part of the job. Responsibilities Design and build machine learning models for practical use cases Collaborate with cross-functional teams to gather requirements and deliver effective solutions Deploy models into production environments and monitor their scalability Work Location This position is based at the Trunk Tools headquarters in New York City. Regular onsite presence is required.

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.

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.

About UsZeroMark is at the forefront of developing cutting-edge, AI-driven counter-drone systems designed for real-world combat scenarios. We prioritize practical solutions over theoretical discussions, delivering technology that has been rigorously tested and proven in the field.With a remarkable growth trajectory, having doubled our revenue year over year for two consecutive years, we continue to secure contracts that highlight our commitment to innovation that truly works. Our systems are transforming conventional weapons into AI-enhanced platforms capable of detecting, tracking, and neutralizing drone threats effectively and efficiently.What sets us apart? Our operators engage directly with the technology in the field, validating systems from Blackhawk helicopters and training alongside elite Tier-1 units. Our testing grounds range from the expansive fields of White Sands to the dramatic cliffs of Hawaii. We embody the spirit of hands-on innovation and practical solutions. If you have a sense of humor and a thick skin, you might just fit in with our team.If you're ready to make a tangible impact while enjoying a few unforgettable afternoons in the field, we encourage you to reach out. We are dedicated to deploying effective, field-tested technology rather than just talking about it.

Role overview Peloton Interactive, Inc. seeks a Senior Machine Learning Engineer based in New York. This position centers on building and improving machine learning algorithms that drive the evolution of Peloton’s fitness technology. The team’s efforts support new AI-powered features and enhance the way users engage with Peloton’s products. What you will do Design, develop, and deploy machine learning models for Peloton’s platform Optimize algorithms to improve user experience and increase engagement Work closely with engineers and product teams to deliver AI-driven features Impact This role plays a part in making fitness more accessible and enjoyable for Peloton’s community. The work directly influences how members experience workouts and interact with content on the platform.

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.