Sr. Deep Learning Software Engineer

Numerator; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Numerator seeks a passionate Sr. Deep Learning Software Engineer to enhance our Machine Learning team. You will design and deploy high-performance deep learning systems, contributing to innovative solutions faced with large-scale data challenges. This role offers significant growth opportunities and the ability to drive impactful projects from inception to launch.

Benefits

Inclusive and collaborative company culture

Market competitive total compensation package

Volunteer time off and charitable donation matching

Strong support for career growth

Regular hackathons and Engineering Lunch and Learns

Comprehensive benefits package including health, vision, and dental insurance

Qualifications

• 4+ years experience in deploying machine learning models.
• Fluent in Python and deep learning frameworks.
• Experience with cloud-based environments is ideal.

Responsibilities

• Develop and train deep learning models for NLP tasks.
• Build and maintain APIs and data pipelines for deep learning.
• Collaborate with cross-functional teams to deliver solutions.

Skills

Deep Learning

NLP

Python

Machine Learning APIs

Data Modeling

Education

Masters or PhD in Machine Learning, Computer Science, Mathematics or related field

5+ years equivalent industry experience

Tools

Pytorch

Hugging Face Transformers

Docker

Kubernetes

AWS Services

Job description

Numerator is looking for a passionate Sr. Deep Learning Software 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.

• 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 deep learning 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.

• 4+ years experience building and deploying robust machine learning APIs in production environments (ideally cloud-based environments such as AWS or GCP).

• Strong background in the foundations of deep learning modeling with a proven track record of building high throughput, production quality deep learning pipelines for NLP, computer vision, information extraction/retrieval, or related practice

• Demonstrable fluency in Python, Pytorch, and Hugging Faces 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 retrival 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 5+ years equivalent industry experience

Nice to Haves:

• You are familiar with monitoring and deployment tools and platforms, such as Docker, Kubernetes, and AWS Services.

• Production experience with LLMs including RAG, Agenic patterns, and information retrieval techniques. LLM Self-hosting and training experience not required.

• 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, etc)

• General software design patterns (REST, MVC, Auto-scaling, etc.)

• Experience supporting machine learning solutions for multiple languages

What We Offer

• An inclusive and collaborative company culture - we work in an open environment while working together to get things done, and adapt to the changing needs as they come.

• An opportunity to have an impact in a technologically data driven company.

• Ownership over data and environments in an industry leading product.

• Market competitive total compensation package.

• Volunteer time off and charitable donation matching.

• Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resources groups.

• Regular hackathons to build your own projects and Engineering Lunch and Learns.

• Great benefits package including health/vision/dental, unlimited PTO, flexible schedule, 401K/RRSPs matching, travel reimbursement, and more.
  
  

If this sounds like something you would like to be part of, we'd love for you to apply! Don't worry if you think that you don't meet all the qualifications here. The tools, technology, and methodologies we use are constantly changing and we value talent and interest over specific experience.