Data and Machine Learning Engineer - Vision Language Models, Data & Machine Learning (DML)

Amazon • Herndon, VA

1d

About The Position

Join a sizeable team of data scientists, research scientists, and machine
learning engineers that develop vision language models (VLMs) on overhead
imagery for a high-impact government customer. We own the entire machine
learning development life cycle, developing models on customer data:

- Exploring the data and brainstorming and prioritizing ideas for model
development
- Implementing new features
- Training models in support of experimental or performance goals
- T&E-ing, packaging, and delivering models

We perform this work on both unclassified and classified networks, with portions
of our team working on each network.

We seek a new team member to work on the classified networks. You would work
collaboratively with teammates to develop and use a python codebase for
fine-tuning VLMs.

You would have great opportunities to learn from team members and technical
leads, while also having opportunities for ownership of important project
workflows. You would work with Jupyter Notebooks, the Linux command line,
GitLab, and Visual Studio Code.

Requirements

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Bachelor's degree or above in computer science, machine learning, engineering, or related fields
• Current, active US Government Security Clearance of Top Secret or above
• This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.

Nice To Haves

• Experience in a ML or data scientist role with a large technology company
• Experience working on multi-team, cross-disciplinary projects
• Master's degree or above in computer science, machine learning, engineering, or related fields
• Knowledge of Linux, PyTorch, and Git workflows for computer vision requirements
• Experience developing visual language models leveraging satellite imagery

Responsibilities

• With support from technical leads, carry out tasking across the entire machine learning development lifecycle to fine-tune VLMs on overhead imagery:
• Run data conversion pipelines to transform customer data into the structure needed by models for training
• Perform EDA on the customer data
• Train VLMs on overhead imagery
• Develop and implement hyper-parameter optimization strategies
• Test and Evaluate models and analyze results
• Package and deliver models to the customer
• Implement new features to the code base
• Collaborate with the rest of the team on long term strategy and short-medium term implementation.
• Contribute to presentations to the customer regarding the team’s work.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level