Overview
On Site
$55 - $69 hr
Contract - Independent
Contract - W2
Contract - 13+ mo(s)
Skills
Data Analysis
Visualization
Software Development
Research
Data Science
Continuous Integration
Continuous Delivery
Software Design
Cloud Computing
Management
C++
Python
Interfaces
Jupyter
matplotlib
PIP
Julia
Computer Hardware
Communication
Problem Solving
Conflict Resolution
Docker
Amazon Web Services
PyTorch
Machine Learning (ML)
Insurance
Privacy
Sourcing
Decision-making
Artificial Intelligence
Job Details
Payrate: $55.00 - $69.00/hr.
Summary:
We are a team at Fundamentals AI Research (FAIR) and we are building interactive AI agents that deliver personalized, context-aware experiences by adapting to diverse user behaviors and communication styles. This role involves designing and developing scalable, robust software systems that enable intelligent agent interactions in complex, dynamic environments.
This role focuses on building, maintaining and optimizing solutions in support of Machine Learning (ML) Research including but not limited to data annotation tools, data analysis and visualization pipelines, and software development using SOTA ML ecosystems such as PyTorch, Docker, AWS etc.
Responsibilities:
Qualifications:
Preferred Qualifications:
Pay Transparency: The typical base pay for this role across the U.S. is: $55.00 - $69.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (;/span>
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. By applying for this position, you agree to Aditi s use of AI technology, including calls from an AI Voice Recruiter.
#AditiConsulting
# 25 - 21152
Summary:
We are a team at Fundamentals AI Research (FAIR) and we are building interactive AI agents that deliver personalized, context-aware experiences by adapting to diverse user behaviors and communication styles. This role involves designing and developing scalable, robust software systems that enable intelligent agent interactions in complex, dynamic environments.
This role focuses on building, maintaining and optimizing solutions in support of Machine Learning (ML) Research including but not limited to data annotation tools, data analysis and visualization pipelines, and software development using SOTA ML ecosystems such as PyTorch, Docker, AWS etc.
Responsibilities:
- Engage with the team early on to seek a deeper appreciation of the team's goals.
- Analyze needs and requirements to determine feasibility of fulfilling requirements within time and cost constraints.
- Coordinate and work closely with research and XFN (UXR, data science) teams to clarify requirements, iteratively.
- Understand, then extend or replace existing implementations.
- Create CI/CD pipelines.
- Design, develop, and iterate deployment solutions for the final product.
Qualifications:
- Experience in software design and development
- Experience deploying software solutions on cloud platforms
- Experience with Python, including package management, build tooling, and C++/Python interfaces.
- Familiarity with notebook frameworks such as Jupyter and matplotlib, as well as tools like pip, conda, clang, julia, pybind, and cython
- Experience optimizing hardware and software to meet deployment workloads
- Strong communication and problem-solving skills
Preferred Qualifications:
- Understanding of Machine Learning would be helpful
- Experience optimizing deployments using Docker and AWS. Familiarity with the ML ecosystem (e.g., PyTorch) and ML model serving (e.g., Torchserve) is helpful but not mandatory
Pay Transparency: The typical base pay for this role across the U.S. is: $55.00 - $69.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (;/span>
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. By applying for this position, you agree to Aditi s use of AI technology, including calls from an AI Voice Recruiter.
#AditiConsulting
# 25 - 21152
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.