Senior Software Engineer, Applied Machine Learning

About the Role current81 is looking for a Senior Software Engineer focused on Applied Machine Learning to join the team in New York, NY. This position centers on building machine learning solutions that support business goals and improve how users interact with our products. What You Will Do Design and implement machine learning models for real-world applications Work with teams across engineering, product, and data to deliver practical ML features Apply advanced algorithms and data analysis to solve business challenges

Point72 is seeking a highly skilled Senior Software Engineer specializing in Machine Learning to join our dynamic team in New York. In this pivotal role, you will leverage your expertise in software development and machine learning to create innovative solutions that drive our business forward. You will collaborate with data scientists and other engineers to develop scalable machine learning models, ensuring seamless integration with our existing systems.Your contributions will directly impact our investment strategies and operational efficiency, making this an exciting opportunity to influence the future of finance through technology.

Dandy is building technology to modernize dental practices, with a focus on delivering tools and support that help clinicians and their teams. Backed by leading venture capital firms, the company aims to create the operating system for dental offices worldwide. In this Senior Software Engineer I, Machine Learning Platform role, the focus is on bridging advanced computer vision research with reliable, production-ready systems. The position centers on designing and scaling infrastructure for large 3D datasets, orchestrating training pipelines, and supporting robust generative model deployments. Role overview Work closely with Machine Learning Engineers to build training pipelines that manage large 3D datasets, support model training, and enable ongoing model improvements. Refine internal ML components to streamline the lifecycle from data labeling and experimentation through deployment, reducing technical debt along the way. Develop and maintain cloud-native systems and tools, particularly using GCP and Kubernetes, to support the company’s 3D dental products with a focus on security, efficiency, and performance. Write clean, maintainable code and tests that align with internal best practices. Collaborate with stakeholders across Engineering to set long-term architectural goals and uphold high standards for quality. Requirements At least 5 years of experience as a Machine Learning Engineer or Software Engineer, ideally in a startup setting. Deep experience building and maintaining ML Platform components such as feature stores, model registries, or distributed training systems. Strong skills in Python-based ML frameworks like PyTorch or TensorFlow; familiarity with 3D geometric computer vision is a plus. Proven ability in large-scale data processing and developing ML data pipelines for complex model training. Strong problem-solving abilities and an interest in building solutions that improve system performance.

Join The New York Times as a Senior Software Engineer specializing in Machine Learning Platform development. In this pivotal role, you will be an integral part of our Machine Learning & AI team, tackling innovative challenges associated with Machine Learning infrastructure that enhances the experience of our 150 million global digital readers. You will contribute to building and maintaining the robust infrastructure that supports real-time ML inference models, collaborating closely with Data Scientists and engineering teams to ensure high-performance, low-latency service levels. This hybrid position is based in New York City and reports directly to the Engineering Manager of the Machine Learning Platform team.

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.

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.

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 The New York Times as a Software Engineer specializing in Machine Learning Platforms to enhance the digital experience for our 150 million readers worldwide. In this hybrid role based in New York City, you'll collaborate with data scientists and engineers to develop and maintain the infrastructure hosting real-time machine learning inference models. Your expertise in MLOps will drive innovative solutions for content recommendations and personalization, contributing to our mission of delivering truth through independent journalism.

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.

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.

Join the cutting-edge team at sola as a Software Engineer focused on our Machine Learning Platform. In this role, you will contribute to the development and optimization of innovative machine learning solutions that drive our business forward. Collaborate with a talented group of engineers and data scientists to deliver high-quality software that supports advanced machine learning models and applications.

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.

Supported by top-tier Silicon Valley investors, Peregrine Technologies is dedicated to assisting public safety organizations, state and local governments, federal agencies, and private-sector institutions in tackling societal challenges with unmatched speed and precision. Our AI-driven platform transforms fragmented data into actionable insights—quickly presenting mission-critical information that empowers informed decisions and enhances outcomes at every level. Currently, we serve hundreds of clients across over 30 states and two countries, impacting more than 125 million individuals, and we are poised to broaden our reach into enterprise sectors and international markets.TeamAt Peregrine, we hold a strong belief that empathy is key to our solutions. Understanding user interactions with our products is crucial, and our engineers work closely with the team on-site to explore the diverse use cases that our platform addresses.We prioritize both accountability and teamwork; you will take full ownership of significant features while collaborating with fellow engineers to ensure their successful completion. We value humility and empathy as vital components in crafting effective solutions—you'll engage directly with our deployment team and users as we refine our offerings to meet their needs. Creativity and perseverance are essential in realizing our vision.RoleAs a key member of our engineering team, you will play a pivotal role in delivering unique value to our clients. Your mission will be to create powerful, intuitive user experiences powered by generative AI, allowing users to engage with our platform in innovative ways. Your contributions will help develop safe, impactful AI-driven features that enable customers to solve real-world challenges more swiftly and effortlessly.Your responsibilities will encompass a variety of complex tasks, including scaling our platform to manage terabytes of data from multiple sources, efficiently querying and notifying users in real-time, and optimizing search algorithms for rapid result delivery.Our technology stack is continuously evolving, built on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend developed with React, Redux, and Mapbox; data storage solutions including PostgreSQL and Elasticsearch; machine learning models hosted on Bedrock and Sagemaker; and supported by AWS, Pulumi, Terraform, and Kubernetes for our infrastructure.About YouA strong desire and initiative to take ownership of large components of our projects.Experience with machine learning frameworks and concepts.Proficient in Python and familiar with web development frameworks.Ability to work collaboratively in a team environment.A passion for developing innovative solutions to complex problems.

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.

At SoundCloud, we are dedicated to fostering connections between artists and fans through the power of music. Established in 2007, SoundCloud is a trailblazing platform designed for artists, offering innovative tools, services, and resources to help them flourish in their careers. With a library of over 400 million tracks from 40 million artists, we are shaping the future of music. We are on the lookout for an exceptional leader in Machine Learning to spearhead the next phase of Musical Intelligence at SoundCloud. As a Senior Principal Engineer, you will leverage your extensive technical expertise and strategic vision to propel the development of advanced recommendation, personalization, and search systems. Your mission is to architect systems that derive high-fidelity insights from user interactions within the world’s largest audio dataset, enhancing the connection between artists and fans. You will set the technical direction for ML across engineering, delivering impactful data-driven products while leading and mentoring a high-performing team of Engineers and Scientists. This pivotal role reports to the Chief Technology Officer and collaborates closely with the Music Intelligence, Content, and Recommendations teams. You will also be instrumental in developing agentic workflows and LLM-assisted systems that will enable us to deploy Musical Intelligence at unprecedented speeds.

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.

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.

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.