Applied AI Research Scientist

Highbrow Technology Inc; United States; Remote; CAD 80,000 - 100,000; Part time

Job summary

A leading technology company is seeking an Applied AI Research Scientist to work remotely. Candidates should have an MS or PhD in a related field and a minimum of 2 years Python experience. Responsibilities include collaborating on evaluations, conducting research in hardware systems, and maintaining strong communication across teams. This role requires expertise in hardware-focused domains and is structured for 8 hours a day with mandatory overlap with PST time zones.

Qualifications

• 2+ years professional experience in Python programming.
• Strong expertise in hardware and systems-focused domains.
• Proven experience in technical research and problem formulation.

Responsibilities

• Collaborate with reviewers and researchers to refine evaluations.
• Conduct evaluations in hardware systems and performance.
• Contribute to research in embedded systems and low-level firmware.

Skills

Python

C

C++

Technical research skills

Strong written communication

Education

MS / PhD in Computer Science

MS / PhD in Electrical Engineering

MS / PhD in Information Technology

MS / PhD in Data Science

Job description

Job Title: Applied AI Research Scientist

Employment Type: Contract

Work Mode: Remote (PST overlap required)

Start Date: Immediate

Contract Duration: 3–6 Months

Openings: 5

Experience & Education

• 2+ years professional Python experience
• MS / PhD in:
• Computer Science
• Electrical Engineering
• Information Technology
• Data Science
• Or related field

Commitment Required

• 8 hours/day
• Mandatory 4–6 hours overlap with PST
• Time window: 12 PM – 6 PM PST
• Collaborate with reviewers and researchers to refine evaluation quali MS or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field.
• Strong expertise in at least two of the following hardware- and systems-focused domains:
• Computer architecture (pipelines, memory hierarchies, cache coherence, ISA-level reasoning)
• Hardware systems and performance analysis
• VLSI design, digital logic, or ASIC/FPGA fundamentals
• Embedded systems and low-level firmware
• Operating systems (especially memory management, scheduling, and hardware–software interfaces)
• Compilers or systems programming with hardware awareness
• Proven experience in technical research, evaluation, or rigorous problem formulation in academic, lab, or production-oriented environments.
• Strong programming skills (especially Python, C or C++) for analysis, verification, and evaluation workflows.
• Excellent written communication skills and a strong attention to technical detail.