AI & Deep Learning Scientist — Research to Deployment

Innovative Embedded Systems Pvt. Ltd. (SIIC IIT Kanpur).; Cambridge (MA); Hybrid; USD 120,000 - 220,000; Full time

Benefits offered by this job

100% employer-paid medical and dental

Vision, life, and disability insurance

Tuition reimbursement

Monthly gym allowance

Generous paid time off

Free parking

Flexible work life balance

Job summary

Charles River Analytics, a GRVTY company, seeks a skilled AI/ML engineer to design and implement state-of-the-art AI frameworks. The role involves debugging, profiling, and refining systems, and collaborating with engineers and scientists to deliver advanced solutions.

You will contribute to DoD-related programs, write reports, and foster customer relationships while navigating a 60% onsite/40% remote hybrid schedule in the U.S.

Qualifications

• Bachelor's degree in computer science or related field.
• U.S. Citizenship with the ability to obtain a security clearance.
• 3+ years experience building ML/AI systems or a completed graduate degree with academic research in ML/AI.
• Moderate to advanced proficiency in Python.
• Strong knowledge in probability, multivariable calculus, and linear algebra.
• Familiarity with Linux systems and development.
• Motivated to learn and apply new technologies.
• Ability to accommodate a hybrid schedule (60% onsite 40% remote).

Responsibilities

• Design, architect and implement AI frameworks and solutions.
• Debug, profile, and refine complex AI systems.
• Collaborate with and/or manage software engineers and scientists.
• Lead or contribute to writing reports and papers.
• Foster relationships with customers.
• Develop and manage innovative R&D programs.

Skills

ML/AI systems

Python

Probability

Linear algebra

Multivariable calculus

Linux

Security clearance eligibility

Education

Bachelor's degree in computer science or related field

Tools

Linux

Job description

Charles River Analytics, a GRVTY company, seeks a skilled AI/ML engineer to design and implement state-of-the-art AI frameworks. The role involves debugging, profiling, and refining systems, and collaborating with engineers and scientists to deliver advanced solutions.

You will contribute to DoD-related programs, write reports, and foster customer relationships while navigating a 60% onsite/40% remote hybrid schedule in the U.S.