• Job Description

  Req#: 602578
  Numerator is looking for a passionate ML Research Engineer to join our growing Machine Learning team. This is a unique opportunity where you will get a chance to work with an established and rapidly evolving platform that handles millions of requests and massive amounts of events, and other data. In this position, you will be responsible for taking on new initiatives to design, build, deploy, and support high performance deep learning systems in a rapidly-scaling environment.
  
  As a member of our team, you will make an immediate impact as you help build out and expand our technology platforms across several software products. This is a high growth and impact role that will give you tons of opportunity to drive decisions for projects from inception through production.
  
  What You'll Do:
  
  • Develop and train deep learning models on computing clusters to perform NLP-related tasks, such as applying both pre-trained and custom transformers for NER, sequence classification, language modeling, etc.
  • Develop LLM driven solutions using fine-tuning, RAG, and agentic patterns
  • Build and maintain systems, APIs, and end-to-end data pipelines to deliver deep learning insights throughout all of Numerator's products and platforms.
  • Work closely with other Machine Learning Research Engineers, MLOps engineers, product managers, and other teams, both internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.
  • Have the freedom to suggest and drive organization-wide initiatives while being part of providing the technical vision and strategy at Numerator.
  Skills & Requirements
  
  
  • 2+ years experience building and deploying robust machine learning APIs in production environments (ideally cloud-based environments such as AWS or GCP).
  • Background in the foundations of deep learning modeling with experience building high throughput, production quality deep learning pipelines for NLP, computer vision, information extraction/retrieval, or related practice
  • Production experience with LLMs including RAG, Evals, Agentic patterns, and information retrieval techniques.
  • Foundational understanding of Python, Pytorch, and Hugging Face transformers library
  • Knowledge in the latest NLP-related algorithms and methods such as LLMs, transformers, sequence-to-sequence models, word and sentence embeddings, attention, information retrieval, etc
  • Experienced software engineering, data modeling, and debugging/profiling fundamentals
  • A Masters or PhD in Machine learning, Computer Science, Mathematics, Statistics, or another quantitative discipline or 3+ years equivalent industry experience
  
  Nice to Haves:
  
  • Demonstrated ability to drive selection of machine learning approaches to solve specific problems coupled with the ability to clearly communicate tradeoffs
  • Experience with one or more model inference optimization libraries (TensorRT, ONNX, torch script, vLLM, etc)
  • General software design patterns (REST, MVC, Auto-scaling, etc.)
  • Experience supporting machine learning solutions for multiple languages
  
  
  There is strength in numbers - We are the Numerati
  
  Numerator is 2,000 employees strong. We have the confidence to be real and embrace what makes each Numerati unique. Our diverse experiences, ideas and backgrounds fuel our innovation.
  
  Being part of the Numerati means that we'll take care of you! From our Recharge Days, maximum flexibility policy, wellness resources for employees and their families, development opportunities and much more - we're always finding ways to better support, celebrate and accelerate our team.
  
  What You Can Expect from Your Intern Experience
  
  You'll play an active role as a member of a dynamic team of supportive and highly motivated employees and leaders. From day one, you'll be set up for success with your NuIntern buddy, who will be a key partner throughout your internship. Numerator's onboarding program will introduce you to your new colleagues, immerse you into our culture, and provide you with resources to thrive.
  
  Expect to make an impact on real projects, business challenges, clients, and our global teams. Interact and engage with colleagues in person at our cool headquarters, designed to further inspire innovation, creativity, and collaboration. You'll also have the opportunity to participate in local events, Hack Days, networking, and workshops.
  Internship dates: June 9th to August 8th, 2025

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