Overview
Remote
On Site
Hybrid
$60 - $70 hr
Contract - Independent
Contract - W2
Contract - 7+ mo(s)
Skills
MACHINE LEARNING ENGINEER
ML ENGINEER
AI ENGINEER
DEEP LEARNING ENGINEER
APPLIED SCIENTIST
ALGORITHM ENGINEER
NLP ENGINEER
ML DEVELOPER
PYTHON
JAVASCRIPT
HACK
GENAI
GENERATIVE AI
Job Details
Payrate: $60.00 - $70.00/hr.
Summary:
The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world s leading engineers and researchers to solve some of the most exciting and challenging problems in the industry.
Responsibilities:
Qualifications:
Preferred Qualifications:
Pay Transparency: The typical base pay for this role across the U.S. is: $60.00 - $70.00 /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
#25-20546
Summary:
The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world s leading engineers and researchers to solve some of the most exciting and challenging problems in the industry.
Responsibilities:
- Adapt standard machine learning methods leveraging modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
- Suggest, collect and synthesize requirements from XFN teams
- Code deliverables in tandem with the engineering team
Qualifications:
- 6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD
- 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
- Experience with scripting languages such as Python, Javascript or Hack
- Experience with developing machine learning models at scale from inception to business impact
- Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
- Experience building and shipping high quality work and achieving high reliability
- Track record of successful cross-functional partnerships
- Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications:
- Masters degree or PhD in Computer Science or another ML-related field
- Exposure to architectural patterns of large scale software applications
- Experience with scripting languages such as Pytorch and TF
Pay Transparency: The typical base pay for this role across the U.S. is: $60.00 - $70.00 /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
#25-20546
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.