Reinforcement Learning Engineer at mlabs | New York

Reinforcement Learning EngineerJoin our innovative team at mlabs, a leading software development firm at the forefront of decentralized finance. We are dedicated to building the infrastructure for the world's largest crypto social networks and digital asset launchpads. Our mission-driven group of builders values speed, technical excellence, and exceptional talent.We are currently looking for a Reinforcement Learning (RL) Engineer who will be responsible for the end-to-end development of an RL-driven trading agent. This role involves managing real capital to enhance trading volume and user engagement within a dynamic memecoin ecosystem. The ideal candidate is an expert capable of integrating advanced modeling techniques with live financial operations. You will play a pivotal role in transitioning existing heuristic-based systems to learning-based methodologies while adhering to strict risk management protocols in a global 24/7 market.Key Responsibilities:Autonomous Agent Development: Lead the design, delivery, and refinement of an RL-driven trading agent to boost ecosystem engagement.Objective Function Design: Create reward functions and policies closely aligned with product objectives while implementing strict downside risk management.Validation Frameworks: Develop comprehensive evaluation and validation frameworks, including simulations and offline analyses, to minimize dependence on live testing.System Transition: Oversee the transition of existing heuristic-based systems to cutting-edge learning-based approaches safely.Technical Leadership: Act as the sole RL expert within a compact, high-performing team, responsible for the entire lifecycle from data modeling and deployment to monitoring and risk management.Interview Process:Recruiter / HR Call: Initial screening to discuss your professional background, risk management philosophy, and cultural fit.Technical Interview: In-depth assessment of RL architecture, simulation frameworks, and experience in live production.Final Interview: Strategic discussion with leadership focusing on alignment with our mission, role expectations, and long-term goals.

Founding EngineerLocation: New York, NYOn-site | Full-timeCompensation: $150K - $350KJoin a dynamic, venture-backed startup on a revolutionary journey to redefine technical interviewing and reshape the expansive $600 billion staffing sector. Our client is pioneering innovative methods that transcend traditional coding challenges, enabling organizations to better identify talent, prevent fraud, and showcase elite candidates to Fortune 500 companies.At this pivotal moment of growth, having achieved product-market fit and now scaling rapidly, the company has secured a $3.1 million seed round from distinguished investors, including GSV Ventures, BoxGroup, and notable angel investors from OpenAI, SpaceX, and Retool. With revenue exceeding seven figures, their clientele includes top enterprise staffing firms, including the world’s largest staffing company.We are looking for a Founding Engineer to become part of a highly skilled team of seven, comprised of talent from prestigious institutions and renowned companies like Stanford, Penn, Waterloo, Retool, and MongoDB. This role is ideal for an innovative builder eager to take ownership of critical systems and set technical standards for an entire industry.Key Responsibilities:Innovation in Evaluation: Develop and establish new benchmarks for technical interviewing, creating systems that replace outdated evaluation techniques and deliver high-fidelity talent assessments.AI Implementation: Leverage AI and machine learning to detect fraudulent activities, identify intricate patterns in candidate performance, and expedite the hiring process.System Architecture: Architect, develop, and maintain essential full-stack systems from scratch, ensuring optimal performance and scalability.End-to-End Ownership: Oversee features and systems throughout their entire lifecycle—from initial concept and architectural design to deployment and monitoring.Strategic Input: As one of the first engineering hires, contribute significantly to shaping the technical roadmap and making critical architectural decisions.Requirements:Technical Proficiency: Minimum of 4 years of experience in modern full-stack development with advanced skills in React, Node.js, and Python (or similar frameworks).Infrastructure Knowledge: Experience managing cloud-native infrastructure within AWS, GCP, or Azure.Startup Mindset: Proven ability to excel in a fast-paced, high-performance startup environment where ambiguity is prevalent.Coding Fundamentals: Highly technical with a deep understanding of coding principles.

We are seeking a talented and driven Full Stack Engineer to join our dynamic team at mlabs in New York. In this role, you will be responsible for developing and maintaining our web applications, ensuring a seamless user experience while collaborating with cross-functional teams to deliver high-quality software solutions.

About UsAt Percepta, our mission is to revolutionize essential institutions through the power of applied AI. We are dedicated to ensuring that critical industries—such as healthcare, manufacturing, and energy—leverage cutting-edge technology. Our approach includes collaborating with industry-leading clients to spearhead AI transformation initiatives. We combine:Expertise in engineering, product development, and research that is deployed directly in the field.Mosaic, our proprietary toolkit for swiftly implementing intelligent workflows.Strategic alliances with renowned organizations like Anthropic, McKinsey, and AWS, among others.Our rapidly expanding team consists of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating the potential of AI into tangible improvements in everyday life. Percepta is a proud partner of General Catalyst, a global firm specializing in transformation and investment.Position OverviewAs a Research Engineer/Scientist specializing in Reinforcement Learning (RL) at Percepta, you will operate at the confluence of RL research and practical application. Your work will push the boundaries of capabilities by researching decision-making processes within critical sectors. You will collaborate closely with our Embedded Product Managers and engineers to ensure that our solutions redefine operational methodologies for businesses.Key ResponsibilitiesIdentify real-world challenges suitable for RL-guided decision-making.Develop RL methodologies for executing complex tasks across various domains such as planning, decision-making, and optimization.Design and sustain the experimental infrastructure that supports our research, including simulation environments, data pipelines, and training frameworks.Conduct large-scale evaluations that deliver significant financial impact.Work in partnership with our applied AI engineers to translate successful research concepts into robust features within our Mosaic platform.Effectively communicate research findings to both technical and non-technical stakeholders, ensuring clarity on the implications and applications of the research.

About BasisBasis is a nonprofit organization dedicated to applied AI research, striving to achieve two interconnected objectives.Firstly, we aim to understand and develop intelligence. This involves establishing the mathematical foundations of reasoning, learning, decision-making, comprehension, and explanation; along with creating software that embodies these principles.Secondly, we seek to enhance society's capacity to address complex challenges. This means broadening the range, scale, and intricacies of the problems we can tackle today, while also accelerating our ability to solve future challenges.To fulfill these missions, we are constructing a novel technological framework inspired by human reasoning, and fostering a collaborative organization that prioritizes human values.About the RoleAs a Research Scientist, you will spearhead Basis's initiatives to deepen our comprehension of the theoretical, mathematical, and computational aspects of intelligence.We seek individuals with exceptional technical skills who are passionate about exploring concepts at their core. Our research scientists and engineers are committed to conducting rigorous, high-quality, and robust scientific inquiry, yet they embrace experimentation, learning from mistakes, and exploring innovative ideas to achieve their goals.Basis thrives on collaboration, both internally and with external partners; thus, we value team players who relish tackling challenges that surpass individual capabilities.Research FocusOur research under the MARA project is dedicated to forging new principles and technologies for modeling, abstraction, and reasoning in AI systems. The primary aim of MARA is to reveal principled methodologies for how intelligence constructs, refines, and applies world models through interactive experimentation.For this position, we specifically seek experts in Reinforcement Learning & Planning who can push the boundaries of model-based RL, exploration strategies, optimal control, and Bayesian optimization. You will develop agents capable of learning efficient policies in intricate, partially observable environments by utilizing structured world models.

Join Our Team as a Staff Backend EngineerLocation: London or New York CityWork Arrangement: Onsite | Full-timeCompensation: CompetitiveAt mlabs, we are a leading technology development firm specializing in the infrastructure that powers the world’s largest digital asset launchpads. With around $1 billion in daily transaction volume, our platform operates at the forefront of the crypto industry, demanding systems engineered for ultra-low latency and exceptional throughput under high concurrency.We are on the lookout for a Staff Backend Engineer to tackle our most challenging technical problems. This role is critical and impactful, set in a dynamic, in-person environment. Our team comprises high-agency builders who prioritize speed, immediate results, and exceptional engineering judgment. This position is tailored for an engineer who excels under pressure and revels in solving complex, cross-disciplinary challenges.Key Responsibilities:System Ownership: Take responsibility for resolving intricate backend issues, improving performance bottlenecks, scaling limits, and ensuring system reliability under intense load.Architectural Leadership: Define the technical strategy for backend systems through thoughtful architectural choices that reconcile swift delivery with long-term viability.Distributed Systems Design: Create, implement, and manage high-impact distributed services that serve a vast global audience daily.Problem Resolution: Anticipate systemic challenges and lead efforts to resolve them, navigating ambiguity and cross-functional complexities.Engineering Excellence: Elevate the backend engineering team's standards through thorough design and code reviews, mentorship, and exemplifying superior engineering judgment.Interview Process:Our selection process is designed to ensure a strong fit for both technical skills and cultural alignment:Recruiter / HR Call: Initial screening and background assessment.Technical Interview I: In-depth evaluation of backend expertise and problem-solving capabilities.Technical Interview II: Advanced exploration of distributed systems and architectural knowledge.Final Interview: Comprehensive discussion focusing on strategic insights and role expectations.

Founding New Business Lead (Join Our Pioneering GTM Team)Location: New York CityOn-site | Full-timeCompensation: $100K - $120KJoin mlabs, a dynamic venture-backed startup that is transforming the $600B+ staffing industry with our innovative technical interviewing platform. We empower recruiting firms to reduce fraud and uncover top talent confidently, establishing ourselves as a vital partner for leading enterprise staffing organizations worldwide.Having achieved seven-figure revenues with a talented team from esteemed institutions like Stanford, Penn, and Waterloo, we seek a Founding New Business Lead. This pivotal Go-To-Market role is ideal for an energetic sales professional eager to transcend traditional sales models. The chosen candidate will spearhead outbound initiatives, influence our GTM strategy, and thrive in a well-funded environment backed by a $3.1M seed round from top-tier investors, including BoxGroup, GSV Ventures, and visionary angels from OpenAI and SpaceX.Key Responsibilities:Outbound Ownership: Manage the complete prospecting cycle for staffing and recruiting firms, from market research to securing high-quality meetings with leadership.GTM Strategy: Collaborate closely with our founding team to explore new communication channels, messaging strategies, and Go-To-Market initiatives.Targeting & Research: Develop and enhance lists of high-value target accounts, pinpointing key decision-makers in leading staffing firms.Personalized Outreach: Design and implement tailored outreach strategies that effectively address challenges in technical hiring and fraud detection.Pipeline Development: Ensure a steady flow of high-quality pipeline while maintaining a focus on activity targets and conversion metrics.

Join Normal Computing for Incredible Opportunities!At Normal Computing, we are passionate about building the software and hardware that drive technological innovation. Our efforts support the semiconductor industry, critical AI infrastructure, and the extensive systems that empower our world. With teams spread across New York, San Francisco, Copenhagen, Seoul, and London, we collaborate as one unified team.Your Role in Our Mission:We are seeking a talented AI Research Engineer to pioneer advancements in agentic LLMs and reinforcement learning for our innovative code generation tool, Nectar. In this role, you will design and conduct experiments, develop agents, curate datasets from intricate technical documents, and establish rigorous evaluation methods. You will write production-level research code and work closely with engineering teams to deliver enhancements to our clients. While leadership experience is not a prerequisite, your research and development impact will be significant.Key Responsibilities:Design and implement multi-agent and reinforcement learning strategies for agentic code generation and tool usage.Develop research prototypes that integrate with Nectar; collaborate to transition successful prototypes into production.Create comprehensive evaluation frameworks, including task specifications, pass/fail criteria, coverage metrics, and dashboards for cost and latency.Gather and curate datasets from a variety of sources, including PDFs, logs, and tables; generate synthetic data where necessary, and maintain data documentation and licensing.Conduct disciplined analyses of experiments through systematic ablations; document findings and decisions.Keep abreast of recent developments in LLM agents, reinforcement learning (both offline and online, including RLHF/RLAIF), constrained decoding, and program synthesis.Qualifications:PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent research experience), with publications preferably in multi-agent reinforcement learning, agentic AI, or reinforcement learning for language and code.Proficient in Python and machine learning frameworks, with a preference for PyTorch; experience with JAX or Hugging Face is a plus.Proven track record of translating research into functional systems; a strong emphasis on reproducibility (tests, seeds, configurations, logging).Experience in designing evaluation harnesses and success metrics for sequential and agentic tasks.Adept at data acquisition and curation from various document types; possess strong instincts regarding data quality and licensing.Bonus Qualifications:Research experience in program synthesis, code generation, constrained decoding, or execution-based rewards.

Senior Staff Backend EngineerLocation: Manhattan, New YorkOnsite | Full-timeJoin our dynamic team at mlabs, the innovative engine behind one of the most visited platforms in the digital asset industry. With a staggering ~$1B in daily volume, our cutting-edge technology stack is designed to manage low-latency, high-throughput, and consistent load at an unprecedented scale.The RoleAs a Senior Staff Backend Engineer, you will be a pivotal technical leader, ensuring the robustness and continuous advancement of our core backend systems. Your role involves a combination of high-level architectural oversight and hands-on execution, focusing on mitigating scaling challenges and designing resilient, fault-tolerant systems that can handle substantial workloads.What You’ll Do:Own & Execute: Take charge of writing and deploying production code for core services, leading the design and implementation of high-scale distributed systems.Architect for Scale: Make informed decisions that harmonize swift iteration with long-term system scalability and maintainability.Drive Initiatives: Spearhead projects that involve multiple services, including storage, compute, APIs, and blockchain infrastructure.Set the Standard: Create benchmarks for observability, reliability, and performance, while enhancing engineering quality through design reviews and RFCs.Technical Leadership: Serve as a technical anchor during critical incidents and mentor peers, sharing your depth of knowledge and clarity of thought.Optimize Velocity: Enhance the internal developer experience by refining tools, CI/CD pipelines, and service abstractions.

Senior Staff React Native EngineerLocation: New York City (Office)On-site | Full-timeCompensation: CompetitiveJoin a leading-edge technology development firm that is at the forefront of creating and sustaining the foundational infrastructure for the world’s most dynamic digital asset launchpads. This organization operates within an ultra-low latency, high throughput environment, characterized by continuous high-concurrency loads. Here, technical precision is critical, and the impact of every deployment is felt instantly.We are on the lookout for a seasoned React Native Engineer to be a crucial part of our mobile engineering team. This role will be instrumental in developing and scaling a high-performance mobile application designed to empower a global audience with the advantages of decentralized finance (DeFi) and SocialFi. You will work across the entire stack to design exceptional mobile experiences, delivering features rapidly, and iterating efficiently in a high-growth ecosystem.Key ResponsibilitiesApplication Development: Create and manage a top-tier mobile application using React Native, focusing on high-performance execution and an intuitive user interface.Performance Optimization: Enhance mobile architecture for speed, efficiency, and scalability, effectively bridging complex blockchain interactions with mobile-first design principles.System Integration: Partner with backend engineers to integrate advanced APIs, real-time data streams, and decentralized technologies.Rapid Iteration: Implement fast-paced shipping cycles, gathering user feedback to refine the mobile experience and foster long-term engagement.Technical Problem Solving: Tackle intricate challenges related to non-custodial crypto wallets, smart contract interactions, and real-time on-chain data updates.Code Excellence: Uphold a clean, modular, and scalable codebase while pushing the boundaries of modern mobile development.Strategic Collaboration: Collaborate with designers, engineers, and product leaders to define the roadmap and future of the mobile platform.Work EnvironmentIn-Person Collaboration: This position requires in-person presence at the client's office.Intensity: Candidates should be comfortable with unconventional hours and a high-velocity pace where expectations are elevated and impact is immediate.Interview ProcessRecruiter / HR Call: Initial screening to discuss professional background and cultural fit....

Join Tagup, a pioneering defense technology company established at MIT, as we revolutionize logistics superiority through advanced AI solutions. Our mission is to deliver innovative technologies that tackle the most pressing challenges in high-stakes environments. This is your chance to contribute to critical national security efforts and support U.S. and allied forces in meaningful ways. Help us shape the future of defense logistics for a safer world.We are on the lookout for a skilled Machine Learning Engineer to bolster our Salt Lake City team, focusing on the development of next-generation AI-driven defense and aviation systems. In this role, you will transcend traditional model building by designing, deploying, and scaling AI solutions that are essential for mission-critical operations.This position offers a unique opportunity to work at the intersection of groundbreaking research and practical application, creating models and infrastructure that enhance reliability, efficiency, and performance.If you are passionate about overcoming complex technical challenges and wish to make a tangible impact on national security and aviation safety, we invite you to apply.

Location: New York, NYStart date: ASAPLanguages: English (required)About the RoleJoin Pragmatike as we partner with a dynamic AI cybersecurity firm, recognized by top-tier investors and visionary AI leaders. This innovative company is dedicated to establishing robust security measures for the AI era, safeguarding enterprises from advanced threats, including deepfakes, smishing, and synthetic voice attacks.Following a successful Series B funding round with industry-leading AI and venture partners, the organization is poised for substantial growth. Trusted by major financial institutions, technology giants, and healthcare providers, they are rapidly scaling to meet the demands of a $200 billion market opportunity.We are seeking a Staff Machine Learning Engineer to architect and enhance the company’s machine learning capabilities from the ground up. This role is pivotal to our product vision and focuses on strategic ownership, infrastructure development, and comprehensive execution of machine learning across the organization.Currently, there is no dedicated machine learning infrastructure or team. You will lay the groundwork: identifying where machine learning can add product value, designing end-to-end production systems, and setting the technical roadmap for the evolution of machine learning within the company.This position is highly impactful and offers significant autonomy, ideal for candidates experienced in building production ML systems and ready to develop a robust ML function from inception to full-scale operation.What You'll DoDefine the company's machine learning strategy: identifying application areas across products, determining necessary infrastructure, and making informed build vs. buy decisions.Design and construct production ML systems from scratch, including data pipelines, model training workflows, evaluation frameworks, and inference serving.Establish a rigorous evaluation methodology to assess model quality, identify regressions, and support iterative improvements based on data.Oversee data strategy: define necessary data, structure labeling, establish feedback loops, and ensure models evolve continuously.Collaborate closely with product and backend engineers to integrate machine learning into customer-facing systems.Contribute production-quality code to the existing codebase and participate in architectural decision-making.In time, assist in recruiting, mentoring, and leading the ML team as the function grows.

Role overview physicsx is seeking a Machine Learning Engineer to join the team in New York. The position centers on designing machine learning models and working with large, complex data. These efforts help drive technology projects and process improvements throughout the company. What you will do Build and refine machine learning models for practical use cases Examine and interpret challenging datasets to extract insights Collaborate with colleagues from a range of disciplines to identify opportunities for machine learning solutions Contribute to technology initiatives and process optimization projects across the organization Location This role is based in New York, United States.

About UsPhysicsX is an innovative deep-tech firm rooted in numerical physics and Formula One, committed to propelling hardware advancements at software pace.We are developing an AI-driven simulation software suite for engineering and manufacturing across cutting-edge industries. Our technology facilitates high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, unlocking unprecedented levels of optimization and automation in design, manufacturing, and operations. This empowers engineers to expand the limits of what’s possible. Our clientele includes top pioneers in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Note: We are actively hiring for various roles; please apply only for the position that aligns best with your expertise and career aspirations.Who We’re Looking ForAs a Senior Machine Learning Engineer in Delivery, you are a seasoned problem solver and technical leader focused on generating impactful solutions. You possess the ability to grasp complex engineering concepts across diverse industries, spearhead technical initiatives, and work directly with clients—often collaborating on-site—to integrate cutting-edge AI models into practical tools.You have successfully delivered ML systems end-to-end and at scale: designing, building, and testing reliable, scalable ML data pipelines; you are adept at exploring and manipulating 3D point-cloud and mesh data to facilitate geometry-aware modeling; you select optimal libraries, frameworks, and tools, making practical product decisions that pave the way for Delivery's success. Operating at the intersection of data science and software engineering, you transform R&D and project outputs into reusable libraries, tools, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial, non-research environment, you are prepared to not only execute but also lead and mentor others. You are passionate about taking ownership of intricate work streams and guiding teams towards success, while continuously enhancing the systems and solutions you engage with to meet the evolving needs of our clients.This RoleAs a Senior Machine Learning Engineer, you will collaborate closely with our Data Scientists, Simulation Engineers, and clients to comprehend and define the engineering and physics challenges we are addressing. You will engage with clients and leverage your influence to guide decisions around reliable deployment with tangible outcomes.You will:Own the deployment of...

About Treeswift:Facing challenges from severe storms, wildfires, and the demand for affordable energy solutions, Treeswift is dedicated to helping energy companies transform their field operations to tackle unprecedented growth and challenges. Our innovative sensors are deployed in the field, collecting extensive LiDAR and imagery data, which is then analyzed by our advanced AI models to provide actionable insights through our web platform. To date, our technology has empowered utilities to mitigate wildfire risks, streamline regulatory compliance, and accelerate recovery from severe weather events.Since launching our services to utilities in June 2024, we have partnered with three of the five largest utilities in the United States and are rapidly expanding our customer base. We are building a team of passionate experts with extensive backgrounds in robotics from prestigious institutions like Penn, Caltech, and CMU, along with experience in enterprise software development from companies such as Palantir, Stripe, and Oracle. Our mission is supported by leading investors, including Penny Pritzker’s Inspired Capital.Headquartered in lower Manhattan, Treeswift also maintains an office in Philadelphia, with team members located closer to customer sites in the Bay Area.About the Role:We are seeking a talented and driven Machine Learning Engineer to join our dynamic team. In this pivotal role, you will develop and implement cutting-edge machine learning solutions to advance our mission. The ideal candidate will have a strong background in training and deploying models within commercial environments. If you are an enthusiastic engineer with a desire to shape the future of distributed infrastructure management, we encourage you to apply.This position is full-time and offers a hybrid work arrangement, requiring in-person attendance two days a week at our NYC office.Key Responsibilities:Drive the development of innovative machine learning models. Your work will focus on enhancing the efficiency and accuracy of energy infrastructure fieldwork, specifically through the development of LiDAR point cloud models for landscape and infrastructure classification, as well as image models for assessing vegetation attributes such as species and health.

Join Virtu’s Research Technology team as an accomplished Machine Learning Engineer. You'll be part of a dynamic group of specialists focused on creating the robust infrastructure that fuels our quantitative researchers. This is a rare chance to engage at the crossroads of machine learning and systematic trading, developing tools that directly influence the efficiency and speed of our research capabilities. In this pivotal role, you will spearhead the development of our machine learning research platform. Your responsibilities will include managing data and computational resources, tracking experiments, and empowering researchers to transition from concept to result with maximum efficiency. Collaborating closely with quantitative analysts and engineers, you will significantly impact the implementation of machine learning practices as we enhance our operational capabilities. Our tech stack primarily includes Python, C++, and Java, complemented by various open-source tools and proprietary technologies.

About FinchAt Finch, we envision a world where every American household has access to legal counsel during significant life events. We are transforming the legal landscape by creating innovative infrastructure that enhances justice accessibility. Our modern consumer law framework automates administrative tasks, prioritizing client needs, starting with personal injury cases.Since our launch in April, we have experienced exponential growth, expanding our reach tenfold and supporting pre-litigation processes for leading law firms nationwide. We seamlessly blend expert operations with cutting-edge AI technology to manage intake, claim initiation, medical records, police reports, lien management, demands, and every detail in between.Backed by distinguished investors including Sequoia and Redpoint, along with founders and CEOs of transformative companies like DoorDash, Ironclad, and Digits, we are fundamentally reshaping how legal services are delivered to everyday Americans. We are in search of exceptional talent to help us scale this mission across the country.This RoleLegal processes often involve navigating unstructured documents, repetitive tasks, and data that current systems struggle to manage. As a Machine Learning Engineer at Finch, you will take ownership of the entire AI system lifecycle—from prototyping to deployment—addressing challenges where a single innovation can significantly enhance law firm operations.What You'll DoIn this hands-on applied AI position, you will develop and deploy production-ready systems rather than just conducting experiments. Your responsibilities will evolve alongside our product and team.Create voice agents, browser agents, OCR pipelines, and LLM-driven workflows that consistently perform well in production.Establish robust evaluation frameworks and feedback mechanisms to enhance model accuracy and dependability.Manage the complete ML lifecycle, including model selection, fine-tuning, prompt engineering, deployment, and monitoring.Collaborate closely with product teams, operations, and legal experts to ensure the AI solutions address the right challenges.Monitor emerging research and tools, making informed decisions on their integration into our technology stack.Who We Have in MindWe seek engineers who prioritize results over algorithms and are equally proficient in production environments and analytical settings. Below are the key qualifications we are looking for.Must-HavesOver 3 years of experience in building and deploying production ML systems.Proficient in Python, with experience across the full ML stack.

Why Join DoppelAt Doppel, we are determined to combat one of the most significant challenges posed by AI: mass-manufactured social engineering. With the rise of scams, deepfakes, and various social engineering attacks infiltrating every digital channel—from websites and social media to ads and encrypted messaging apps—our mission is both simple and audacious: to create a safer internet by outsmarting the fastest-evolving digital threats.Supported by renowned investors such as a16z and Bessemer, and trusted by leading brands including OpenAI, United Airlines, and Coinbase, Doppel is experiencing rapid growth. If you are passionate about tackling real-world problems with innovative technology, we would love to connect with you.What We Are BuildingWe are developing an AI-native social engineering defense platform. This entails creating scalable systems that monitor billions of domains, social media accounts, applications, dark web forums, and more, utilizing AI agents to identify and neutralize digital threats.Your RoleWe are seeking a talented Machine Learning Engineer to contribute to the development and scaling of the models and systems that drive Doppel’s detection capabilities. In this position, you will:Design, train, and deploy models for both batch and real-time inference to identify malicious or infringing content across a variety of data sources.Collaborate closely with the Detection and Infrastructure teams to ensure our ML systems can scale with the increasing volume of web data we process.Tackle challenges that span from Natural Language Processing (NLP) and embeddings to similarity search, classification, and anomaly detection.Engage directly with customers and internal stakeholders to translate real-world threats into practical ML solutions.

Join SeatGeek: Where Live Events Come to Life!At SeatGeek, we believe that live events are transformative experiences that bring people together. Our innovative technology and fan-centric approach are revolutionizing the ticketing industry.As a pioneering technology company, SeatGeek is on a mission to disrupt the $300 billion ticketing landscape. We have the vision, products, and team to enhance the experience for performers, venues, and fans while establishing a lasting consumer brand. Now, we’re looking for passionate individuals like you to join our journey.We’re seeking a Senior Machine Learning Engineer to join our R&D team, bringing your expertise to our dynamic projects.

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.