Nousresearch

Machine Learning Engineer (Reinforcement Learning)

Machine Learning Engineer (Data & Evaluation Infrastructure)

Machine Learning Engineer (Training Infrastructure)

Research Scientist

General Counsel

We are seeking a Machine Learning Engineer to develop and scale distributed reinforcement learning systems for model training. This role involves deploying elastic environment microservices, designing effective reward systems, and optimizing multi-node and multi-datacenter training pipelines to enhance performance and efficiency.

We’re looking for an MLE to build and scale distributed reinforcement learning systems for model training. You’ll deploy elastic environment microservices, design reward systems and optimize multi-node and multi-datacenter training pipelines.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Responsibilities:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Designing and implementing RL pipelines from reward modeling to policy optimization</li><li class="leading-relaxed">Optimizing RL training stability and sample efficiency for large models</li><li class="leading-relaxed">Verifying numerical correctness across inference and training</li><li class="leading-relaxed">Performance engineering on trainer-inference communication</li><li class="leading-relaxed">Validating methods from recent publications</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Qualifications:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Hands-on experience with reinforcement learning in production systems</li><li class="leading-relaxed">Deep understanding of policy-space methods (GRPO, PPO, etc.)</li><li class="leading-relaxed">Experience profiling distributed systems</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Preferred:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">History of OSS contributions</li><li class="leading-relaxed">Knowledge of TorchTitan and SGLang or vLLM</li></ul>

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- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! 📋 &nbsp;- This assessment gives us an idea of your problem solving skills using DSA - Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Programming Patterns! 📋- This assessment gives us an idea of your code architecture skills - Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your OOPs skills! 📋- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills - Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Unity Skills 📋 - This assessment gives us an idea of your Unity fundamentals - Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc. - 9 questions: 9 Multiple Choice - Minimum score needed to qualify: 80% - Average time to complete: 5 to 10 minutes

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This Editorial Assistant role is part of the Books Editorial Projects Management (BePM) team, providing operational project management support for titles and books through the publication process. The successful candidate will support Research Publishing editorial teams in Humanities and Social Sciences (HSS), ensuring high-quality service for authors and adherence to publication standards. The role involves managing content development from signing to publication, liaising with authors/editors, and collaborating with internal teams to meet deadlines and maintain efficient workflows.

We are an ambitious and dynamic organisation, and home to some of the best-known names in research, educational and professional publishing. Working at the heart of a changing industry, we are always looking for great people who care about delivering quality to our customers and the communities we work alongside. In return, you will find that we open the doors to discovery for all our employees – offering opportunities to learn from some of the best in the business, with a culture that encourages curiosity and empowers people to find solutions and act on their instincts.

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<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About the Role</h2>This role is part of the Books Editorial Projects Management (BePM) that provides operational project management support to manage our titles and books portfolio through the publication process. We’re looking to recruit an energetic and highly organized graduate as an Editorial Assistant to support our Research Publishing editorial teams in Humanities and Social Sciences (HSS).The Editorial Assistant provides a vital role in supporting the Editorial team by ensuring that our authors receive a high quality of service, that our books are published to the highest standards, driving our authors satisfaction and reputation as a market and thought leader while we operate on highly efficient workflows.As well as providing core support to the Editorial teams, the role involves building excellent working relationships with internal teams such as production, and day-to-day administration.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Responsibilities</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Database and systems management</li><li class="leading-relaxed">Handle one or more series independently</li><li class="leading-relaxed">Handle a wide range of editorial tasks including contracting, peer review process, manuscript development and handover to production, and post-publication tasks</li><li class="leading-relaxed">Liaise with authors/editors to manage the content development from signing to publication</li><li class="leading-relaxed">Advice authors/editors on procedures, house style, and manuscript preparation</li><li class="leading-relaxed">Liaise with production and vendors in ensuring that the titles are published as per agreed deadlines</li><li class="leading-relaxed">Liaise with colleagues in different Centers of Excellence, Open Access, Editorial Rights, Author Services on a routine basis</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Experience, skills and qualifications</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience from a professional activity in editorial/publishing or university degree, preferably in a relevant field of study</li><li class="leading-relaxed">Have excellent team-working skills to deal with people within the company and externally at all levels</li><li class="leading-relaxed">Be a diplomatic and assertive individual who is able to work with demanding stakeholders</li><li class="leading-relaxed">Be able to organize and prioritize numerous tasks and be able to work on their own initiative</li><li class="leading-relaxed">Be resourceful and proactive in dealing with problems and queries</li><li class="leading-relaxed">Be able to demonstrate good publishing business awareness and the ability to learn quickly</li><li class="leading-relaxed">Have excellent verbal and written communication skills and be numerate and IT systems-literate (MS Word, Excel, PowerPoint), with a sharp eye for detail</li><li class="leading-relaxed">Preferably have experience working in academic publishing in an entry-level editorial role</li><li class="leading-relaxed">Fluency in English, both verbal and written</li></ul>At Springer Nature, we value the diversity of our teams and work to build an inclusive culture, where people are treated fairly and can bring their differences to work and thrive. We empower our colleagues and value their diverse perspectives as we strive to attract, nurture and develop the very best talent.Springer Nature was awarded Diversity Team of the Year at the 2022 British Diversity Awards. Find out more about our DEI work here [https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion#NOTE/_blank]If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodations.For more information about career opportunities in Springer Nature please visit [https://springernature.wd3.myworkdayjobs.com/SpringerNatureCareers]#LI-RT1

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Machine Learning Engineer (Reinforcement Learning)

Machine Learning Engineer (Data & Evaluation Infrastructure)

Machine Learning Engineer (Training Infrastructure)

Research Scientist

General Counsel

Job Details