Applied AI Research Scientist
Posted Today by Highbrow Technology Inc
Negotiable
Undetermined
Remote
EMEA
Summary: The Applied AI Research Scientist role is a contract position focused on conducting technical research and evaluation in hardware and systems domains. Candidates are expected to have a strong background in computer science or related fields, with a requirement for collaboration and communication skills. The position is remote, requiring overlap with Pacific Standard Time. The contract duration is between 3 to 6 months, with immediate start availability.
Key Responsibilities:
- Collaborate with reviewers and researchers to refine evaluation criteria.
- Conduct technical research and evaluation in hardware and systems-focused domains.
- Utilize programming skills for analysis, verification, and evaluation workflows.
- Communicate findings effectively with strong attention to technical detail.
Key Skills:
- 2+ years of professional Python experience.
- MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, Data Science, or a related field.
- Strong expertise in hardware and systems domains such as computer architecture, VLSI design, embedded systems, and operating systems.
- Proven experience in technical research and rigorous problem formulation.
- Strong programming skills in Python, C, or C++.
- Excellent written communication skills.
Salary (Rate): undetermined
City: undetermined
Country: EMEA
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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
- Computer Engineering
- 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
Roles & Responsibilities
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.