Deep Learning Engineer

Company: 360pi
Location: Chicago
Posted on: June 13, 2021

Job Description:

Numerator is looking for a Deep Learning Engineer to join our growing Research and Development team. This is a unique opportunity where you will get a chance to work with an established and rapidly evolving platforms 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 automate, enhance, maintain, and scale services in a rapidly-scaling environment.

As a member of our Deep Learning 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 get to do

• Develop and train deep learning models on computing clusters to perform visual recognition tasks, such as segmentation and detection, or 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 deep learning engineers, software 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

What you bring

• Strong background in the foundations of deep learning with a proven track record of building high throughput, production quality deep learning pipelines for NLP, computer vision, information extraction, or related practice
• Expertise with at least one deep learning framework (PyTorch, TensorFlow, or equivalent)
• Knowledge in the latest NLP-related algorithms and methods such as transformers, sequence-to-sequence models, word and sentence embeddings, attention, etc
• Fluency in Python
• Familiar with SQL
• Experienced Software Engineering and Data Modeling fundamentals
• A Masters or Ph.D. in Computer Science, Mathematics, Statistics, or another quantitative discipline or 3+ years equivalent industry experience

Nice to haves

• You are familiar with monitoring and deployment tools and platforms, such as, Docker, Kubernetes, Terraform, AWS Services.
• Experience with C++
• Demonstrated ability to drive selection of machine learning approaches to solve specific problems coupled with the ability to clearly communicate tradeoffs
• Experience working with a MPP data warehouse (aka Redshift, Snowflake)
• Experience configuring and optimizing data pipelines
• Experience in Marketing Analytics field

Experience on AWS Sagemaker stack & pattern

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

What we offer you

• More data than you could imagine to play with!
• Data that matters and that is shaping the impact of billion dollar brands.
• Brillant, motivated and passionate colleagues with whom to spend your time.
• 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.
• Market competitive total compensation package.
• Volunteer time off and charitable donation matching.
• Regular hackathons to build your own projects and work with people across the entire company
• Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resource groups.
• Great benefits package including health/vision/dental, exceptional maternity leave coverage, unlimited PTO, flexible schedule, 401K/RRSPs matching and much 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.

While this position can be remote, Numerator is only able to hire in many, but not all, states and provinces. In certain cases, if you are not located in a specific area where Numerator is able to hire, you may not be eligible for employment.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by the law.

Keywords: 360pi, Chicago , Deep Learning Engineer, Other , Chicago, Illinois