Machine Learning Software Engineer - Research

About AnthropicAt Anthropic, we are dedicated to pioneering safe, interpretable, and controllable AI systems. Our goal is to ensure that AI technologies are beneficial for users and society at large. We have assembled a rapidly expanding team of passionate researchers, engineers, policy specialists, and business leaders working collaboratively to create adva…

Join Anthropic as a Research Engineer within our ML Performance and Scaling team, where you will play a pivotal role in shaping the future of AI. In this dynamic position, you will ensure the reliability, efficiency, and scalability of our cutting-edge pretrained models. Your expertise will bridge the gap between research and engineering as you optimize performance, debug hardware issues, design impactful experiments, and collaborate closely with teams across multiple locations. This is an opportunity to contribute to high-impact work that aligns with our mission to create safe and beneficial AI systems.

About the RoleJoin Woozle Research as an Associate Director in our dynamic London or Glasgow office. This pivotal leadership role is designed for seasoned professionals eager to influence high-caliber primary research utilized by leading hedge funds, private equity firms, and consultancies worldwide.Your key responsibilities include leading a team of Analysts and Associates, ensuring our deliverables consistently surpass client expectations, and nurturing lasting partnerships with investors and decision-makers.If you are passionate about guiding teams, enhancing client relationships, and delivering impactful market insights, we want to hear from you!

aisi seeks a Research Engineer or Research Scientist to focus on Model Transparency in London, UK. The position involves research aimed at making AI models more understandable and accountable. The goal is to clarify complex behaviors within these systems and help build trust in their outcomes. Key responsibilities Research new ways to improve the interpretability of AI models Create methods and tools that help explain how models make decisions Tackle challenges in understanding and communicating model behavior Contribute to initiatives that support greater accountability in AI Location This role is based in London, UK.

About Lightning AIFounded in 2019, Lightning AI is the driving force behind PyTorch Lightning. We create a comprehensive platform for the development, training, and deployment of AI systems, streamlining the journey from innovative research to impactful production.Our merger with Voltage Park, a neocloud and AI factory, enhances our offerings by integrating developer-centric software with efficient, large-scale computing resources. We provide teams with essential tools for experimentation, training, and production inference, ensuring security, observability, and control are integral to our solutions.We cater to individual researchers, startups, and established enterprises, with a global presence including offices in New York City, San Francisco, Seattle, and London. Lightning AI is supported by esteemed investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.Our ValuesMove Fast: We prioritize speed and precision, deconstructing complex challenges into manageable tasks.Focus: We tackle one objective at a time with care, working collaboratively to deliver features accurately.Balance: We believe in maintaining a healthy work-life balance, promoting sustained performance through rest and recovery.Craftsmanship: We strive for excellence and take pride in the details that contribute to our innovation.Minimal: We embrace simplicity in our innovations, focusing on what truly matters.Role OverviewWe are looking for an accomplished Research Engineer to enhance the optimization of training and inference workloads using compute accelerators and clusters, particularly through the Lightning Thunder compiler and the broader PyTorch Lightning ecosystem. This role exists at the intersection of deep learning research, compiler development, and large-scale system optimization. You will be instrumental in advancing technology that enhances model performance and efficiency, establishing essential software that will influence the entire machine learning landscape.As part of the Engineering Team, you will report to our Tech Lead. This hybrid role is based in our offices located in New York City, San Francisco, or London.

Join Hudson River Trading (HRT), a leader in quantitative trading, where innovation meets technology. We design and implement state-of-the-art systems in one of the most sophisticated computing environments in the world, driving our global trading operations. In our collaborative and non-siloed coding culture, talented engineers can make meaningful contributions and witness their impact on a daily basis. At HRT, you will tackle complex trading challenges alongside some of the brightest minds in the industry.We are on the lookout for highly motivated and skilled Research Engineers to collaborate closely with our Algorithm Development (Quant Research) teams. This role demands exceptional programming skills, a strong user-centric approach, and the ability to adapt in a dynamic environment with ever-changing requirements. You will engage in multitasking and context switching, gaining insights into the conception and execution of some of the most advanced trading strategies globally.As a Research Engineer, you will contribute to diverse projects, including:Creating tailored quantitative systems that empower Algo Developers to easily articulate and backtest innovative predictive signals.Developing top-tier research tools to accelerate Algo Developers’ research cycles.Supporting the development and deployment of expansive deep learning models for HRT’s live trading operations.Enhancing HRT’s monetization systems that translate our predictions into profitable trades.Assessing simulation versus live performance discrepancies to refine the accuracy of our simulations.Designing systems for monitoring and managing live trading environments.Focusing on specific time horizons, ranging from high-frequency trading to mid-to-low frequency hedge fund strategies.Engaging with a wide array of asset classes across global markets, including equities, fixed income, and options.

Application Deadline: We are actively conducting interviews and aim to onboard the right candidate promptly.ABOUT THE ROLEAt Apollo Research, we are embarking on an ambitious journey to establish a groundbreaking field known as the “Science of Scheming.” We are seeking passionate Research Scientists and Engineers eager to contribute to the creation of a new hard science from the ground up.YOUR RESPONSIBILITIES- Collaborate with leading AI innovators. Our partnerships with various labs provide access to an extensive range of models that no single AI lab can offer. Your contributions will significantly influence the development and deployment of advanced AI systems.- Conduct in-depth studies of reinforcement learning dynamics that drive the emergence of reward-seeking behaviors, evaluation awareness, and misaligned preferences. Design and train model organisms, scaling insights to cutting-edge systems.- Explore the “Scaling Laws of Scheming.” Establish empirical foundations to forecast how scheming risks evolve as models increase in capability.- Innovate evaluation techniques that can potentially scale to highly evaluation-aware models.- Investigate AI cognition. Uncover unique patterns in the reasoning processes of advanced AI systems that have yet to be documented.Note: This position does not focus on interpretability roles.KEY REQUIREMENTSWe seek a diverse set of skills to advance our research agenda. We do not expect any single candidate to meet all the criteria listed below. However, a successful candidate will likely excel in one or several of the following areas:- Fast-paced empirical research: Ability to design and execute experiments with a focus on accelerating iteration cycles.

We are seeking a skilled and motivated Quantitative Research Engineer to enhance our data and research platforms. In this pivotal role, you will work closely with our quantitative researchers, employing your engineering and data science expertise to create innovative tools and methodologies that boost research productivity. Your contributions will help optimize the research process, refine data analysis capabilities, and drive overall efficiencies in research efforts. This position demands a robust technical foundation, exceptional problem-solving abilities, and a collaborative spirit to work effectively with cross-functional teams. Key Responsibilities:Partner with quantitative researchers to identify workflow challenges and develop technical solutions that enhance research productivity.Design, develop, and maintain software tools and frameworks that improve the efficiency of research tasks, including data collection, preprocessing, and analysis.Implement advanced data processing algorithms and statistical methods to streamline research workflows and enhance analytical capabilities.Utilize your expertise in software engineering and machine learning to construct scalable systems for large-scale data analysis and experimentation.Conduct code reviews and mentor junior research engineers, ensuring high code quality and adherence to best practices.Collaborate with diverse teams to integrate research tools into existing infrastructures.Evaluate and implement third-party tools and libraries to optimize the research process.Engage in research discussions, providing technical insights to improve methodologies and strategies.Assist in creating documentation, user guides, and training materials for research tools and processes.

About AnthropicAt Anthropic, we are dedicated to developing reliable, interpretable, and controllable AI systems. Our goal is to ensure that AI technology is safe and beneficial for both users and society. Our rapidly expanding team consists of passionate researchers, engineers, policy experts, and business leaders collaborating to create advantageous AI systems.About the TeamsThe Reinforcement Learning teams at Anthropic spearhead our research and development in reinforcement learning, playing an essential role in enhancing our AI systems. We have made significant contributions to all Claude models, particularly impacting the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work encompasses several critical areas:Creating systems that empower models to utilize computers effectively.Enhancing code generation through reinforcement learning techniques.Conducting pioneering RL research for large language models.Establishing scalable RL infrastructure and training methodologies.Improving model reasoning capabilities.We work closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and secure. Additionally, we collaborate with the applied production training team to seamlessly integrate research advancements into deployed models, demonstrating our commitment to implementing research at scale. Our Reinforcement Learning teams operate at the intersection of cutting-edge research and engineering excellence, dedicated to building high-quality, scalable systems that expand the possibilities of AI.About the RoleAs a Research Engineer in the Reinforcement Learning domain, you will partner with a diverse group of researchers and engineers to enhance the capabilities and safety of large language models. This position merges research and engineering responsibilities, requiring you to implement innovative approaches while contributing to the research strategy. You will engage in fundamental research in reinforcement learning, developing 'agentic' models capable of tool use for open-ended tasks such as computer usage and autonomous software generation, improving reasoning skills in disciplines like mathematics, and creating prototypes for internal applications, productivity, and evaluation.Representative Projects:Design and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters, scaling our systems to manage increasingly complex research workflows.Invent, implement, and evaluate novel training environments, evaluations, and methodologies for reinforcement learning.

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to harnessing the power of artificial intelligence to revolutionize drug discovery and development. We are at the forefront of creating generative AI models aimed at designing protein and antibody therapeutics, facilitating the development of treatments for historically challenging molecular targets. Our innovative approach also includes the development of foundational models for biological processes and diseases, enhancing target identification and patient stratification. Through these groundbreaking technologies, we strive to unlock novel therapies and improve drug development success rates. With headquarters in the San Francisco Bay Area, Seattle, and London, we are positioned to make a significant impact in the biotech field.Position OverviewWe are on the lookout for passionate and driven individuals to join our team as AI Research Engineers. We embrace candidates from diverse backgrounds and experiences, believing that varied perspectives strengthen our ability to solve complex challenges. Our London office, located near Old Street, fosters a highly collaborative environment where teamwork is essential to our success. We promote a hybrid work culture built on trust, with team members typically working in the office three days a week.Key ResponsibilitiesDemonstrate industry experience as a research engineer within an AI-focused organization.Exhibit enthusiasm for collaboration, learning, and teaching while tackling complex problems as part of a team.Desirable QualificationsWe value diverse experiences and recognize that each individual’s journey is unique. While the following qualifications are ideal, they are not mandatory:Master’s degree or PhD in an AI-related discipline.Contributions to public codebases or GitHub repositories.Experience in building and training neural networks.Familiarity with distributed training and inference.Expertise in profiling and optimizing large-scale AI models.Knowledge in BioAI or related fields.If you possess a strong drive to utilize AI in advancing drug discovery and enhancing human health, we invite you to apply and join us in our mission to create a positive impact in the world.

Join Anthropic as a Research Engineer specializing in the Science of Scaling, where you will play a pivotal role in advancing cutting-edge AI technologies. Collaborate with a dynamic team to explore innovative solutions that enhance our understanding of scalability in artificial intelligence systems.

About UsXapien is revolutionizing the way businesses understand their connections, whether it’s with suppliers, investors, partners, or third parties. We harness the power of advanced AI to provide organizations with unmatched speed, scale, and accuracy in their due diligence processes.Since our inception in 2018, we've transformed from a deep-tech startup into a global leader in AI-driven risk intelligence and due diligence solutions. In 2024, we celebrated a milestone achievement by securing $10M in Series A funding, receiving accolades in the Chartis RiskTech100® and Everest Group’s Leading 50™, and broadening our product offerings, markets, and customer base.2025 has brought even greater opportunities: With increasing compliance demands, emerging regulations, and heightened reputation risks, organizations worldwide are seeking innovative and efficient solutions, placing their trust in Xapien. From renowned law firms and financial institutions to educational and non-profit organizations, our clients rely on us to transform cumbersome manual research into actionable insights delivered within moments.Our growth trajectory:As we expand our reach beyond the UK, we are witnessing a surge in demand across continents, particularly in the Middle East, Asia, and Oceania, with significant growth in sectors such as wealth management, financial services, and supply chain onboarding.Why Join Us Now?This role presents a unique chance to influence the future of the due diligence industry with our leading-edge product, trusted by organizations globally. Regardless of your background—whether in marketing, sales, finance, or communications—you’ll be pivotal in driving growth, establishing credibility, and connecting our product to a dynamic market landscape.We are rapidly scaling, facing new regulatory challenges, and responding to heightened customer expectations. At Xapien, due diligence now embodies real-time insights delivered efficiently and effectively. You will not just execute tasks; you will influence strategies, optimize procedures, and contribute to a brand that is redefining standards for trust and transparency.If you are passionate about learning, innovating, and making a meaningful impact, now is the perfect time to join Xapien.The RoleWe are on the lookout for a detail-oriented Applied Research Engineer to assist in the development of the next generation of algorithms at the core of our systems. With our product experiencing rapid growth, your contributions will be crucial in shaping our solutions.

Join our cutting-edge AI team at hyperexponential as a Research Engineer. In this role, you will be at the forefront of developing innovative AI solutions that drive efficiency and transformation across various sectors.As a Research Engineer, you will collaborate closely with data scientists, software engineers, and domain experts to design, implement, and optimize AI algorithms. Your insights will directly contribute to advancing our product offerings and enhancing client experiences.If you are passionate about harnessing AI technology to solve real-world problems, we want to hear from you!

About CircuitHubCircuitHub is revolutionizing the electronics manufacturing industry with The Grid, an advanced robotics platform engineered to enhance the efficiency of small-batch, high-mix electronics assembly. Imagine achieving semiconductor-fab levels of precision within the dynamic environment of prototyping and low-volume production. The outcome? A remarkable 10x increase in throughput within one of the most vital sectors globally.With $20M raised from prestigious investors such as Y Combinator and Google Ventures, CircuitHub is already profitable. Our clientele includes industry giants like Tesla, Meta, and Zipline.The Grid is not just a concept; it's operational, rapidly scaling, and generating real revenue. We are in the process of establishing a robust engineering team to further accelerate this growth.What We're SeekingWe are in search of a talented engineer to lead our Operations Research team. In this pivotal role, you will solve complex scheduling and pricing optimization challenges, driving the most efficient electronics factory in the world. This position offers significant impact, directly contributing to a projected 3x revenue increase within the next year.Ideal CandidateThis opportunity is tailored for individuals with direct experience in addressing operations research challenges.Key ResponsibilitiesDetermine optimal production schedules for our factoryInnovate novel quoting algorithmsForecast future revenue based on production capacityWork LocationThis position allows for remote work or the option to work from one of our labs located in the UK (London, Cambridge) or the USA (Boston).Significance of This RoleThe contributions of the operations research team will be vital in establishing the economic viability of electronics manufacturing in the USA and Europe. This is a career-defining opportunity for a driven engineer who excels in ownership and is passionate about tackling real-world problems through advanced research methodologies.Essential Tools & TechnologiesPythonGoogle OR-ToolsGurobi

Application Deadline: We are actively conducting interviews and are eager to fill this role as soon as we find the right candidate.ABOUT THE OPPORTUNITYWe are in search of talented Backend Software Engineers who are passionate about developing tools that enhance frontier AGI safety research. This includes creating and maintaining evaluation libraries and tools that enable monitoring and control of our LLM traffic.REPRESENTATIVE PROJECTSAs part of your role, you may work on the following projects within your first six months:Internal tools for efficient running and analysis of evaluations, such as a system that investigates thousands of agentic evaluation runs in parallel and automatically surfaces insights.Automated evaluation pipelines designed to streamline the process from accessing a new model for pre-deployment testing to analyzing key results and disseminating them.Orchestration tools enabling researchers to execute thousands of agentic evaluations in parallel on secure remote machines.LLM proxy services that allow real-time monitoring of our coding agent traffic, supporting automatic identification of undesired behaviors.Development of LLM agents and MCP tools that automate internal software engineering and research tasks, with safeguards to prevent significant failures.Continuous Integration (CI) pipeline optimizations to enhance execution speed and eliminate unreliable tests.Telemetry API and enhanced instrumentation of existing tools to monitor usage and improve reliability.A data warehousing pipeline to store thousands of evaluation transcripts for research and dataset building.Improvements to the Inspect framework and ecosystem, including support for modern agentic scaffolds.

Anthropic seeks a Research Engineer specializing in Machine Learning, with a focus on Reinforcement Learning (RL Velocity), for its London office. This role supports ongoing AI research and contributes to building advanced machine learning systems. Key responsibilities Work alongside researchers and engineers to solve complex reinforcement learning problems Participate in designing and developing new machine learning models and systems Shape solutions that directly influence Anthropic’s research objectives Collaboration and team environment Join a team of skilled colleagues dedicated to AI advancement. Team members regularly exchange ideas, review each other's work, and support one another to create effective solutions.

physicsx is seeking a Staff Machine Learning Software Engineer to join its Research team in London. This position centers on building advanced algorithms and machine learning solutions to drive forward ambitious research initiatives. Role overview The main focus is on designing and implementing machine learning models that push the boundaries of current technology. Projects will involve exploring new methods and supporting research efforts that aim to solve complex problems. Location This role is based in London, United Kingdom. What you will do Develop and refine machine learning algorithms for research applications Collaborate with researchers to support innovative projects Work on solutions intended to advance the capabilities of existing technology

About UsEstablished in the United States in 2022 and now operating from London, UK, Recraft is an innovative AI platform tailored for designers, illustrators, and marketers, setting a new benchmark in image generation excellence.Our cutting-edge tool empowers creators to swiftly generate and refine original images, vector art, illustrations, icons, and 3D graphics using advanced AI technology. With over 3 million users in 200 countries, our community has produced hundreds of millions of images with Recraft, and we are just beginning our journey.Become part of a world filled with professional opportunities, contribute to large-scale projects, and be a pioneer in the creative industry’s future. We are dedicated to making Recraft a vital tool for every designer, striving to set the industry standard. Our mission focuses on ensuring that creators maintain complete control over their creative processes with AI, offering them innovative tools to transform their ideas into reality.If you have a passion for pushing the limits of AI technology, we would love to have you join our team!

Join Lila Sciences as a Staff or Principal Engineer specializing in Technical Mitigations Research. This role offers an exciting opportunity to leverage your engineering expertise to develop innovative solutions in the field of technical mitigations.