LLM - Applied AI Research Scientists

Million Logics, a trusted Oracle Partner, is a global IT solutions provider with offices in London, UK, and a development hub in Hyderabad, India. The company focuses on driving digital transformation through innovative and scalable IT solutions, including Data & AI Services, Cloud Solutions, IT consulting, database technologies, and enterprise applications. Backed by a team of over 40+ tech experts, Million Logics is committed to delivering tailored, results‑driven solutions that empower businesses to evolve and lead.

With a strong emphasis on innovation, excellence, and client success, Million Logics offers cutting‑edge services and technologies to help organizations thrive in the digital age.

Our client "Turing" is seeking highly skilled and motivated Applied AI Research Scientists in Computer Science and Computer Engineering with an MS or Ph.D. in a relevant technical field to join our team  this role, you will contribute to the design, validation, and execution of expert‑level evaluation tasks that probe the limits of state‑of‑the‑art AI systems. Your work will focus on creating headroom‑level, rigorously verifiable questions across hardware, systems, and computing domains to assess and stress‑test advanced multimodal and reasoning‑capable AI models.

This position requires deep domain expertise, strong analytical rigor, and the ability to translate complex technical concepts into precise, evaluable challenges that expose model limitations beyond surface‑level reasoning. You will work closely with a collaborative, cross‑functional team and are expected to be a reliable team player who is highly detail‑oriented and committed to accuracy and quality.

Only for MS or Ph.D holders with 2+ years of Python Development experience.

• Design headroom‑level evaluation questions requiring advanced reasoning and graduate‑level domain expertise in CS/CE.
• Ensure all tasks are objectively verifiable with clear, definitive ground‑truth answers.
• Develop high‑quality multimodal prompts, including accurate technical diagrams or visuals when appropriate.
• Identify and document model headroom, focusing on SOTA models like Gemini and ChatGPT, and conduct structured side‑by‑side evaluations.
• Document model failures and reasoning gaps, provide correct solutions, and maintain accurate records of prompts, answers, and evaluation results in shared tracking systems.
• Overlap of 6 hours with PST time zone (12pm PST to 6pm PST) is mandatory.
• Strong expertise in at least two of the below 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

• MS or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, Data Science, or a closely related field.
• Strong expertise in two or more Computer Engineering or Computer Science domains, such as hardware, computer architecture, systems, VLSI design, embedded systems and IoT, operating systems, compilers, systems security, or AI/ML.
• Proven experience with applied AI research, technical evaluation, or research‑driven problem formulation in real‑world or production‑oriented settings.
• Strong programming proficiency, with experience in Python for analysis, verification, and evaluation workflows.
• Strong written communication skills and the ability to collaborate effectively as a detail‑oriented team player.

• Familiarity with modern AI model capabilities, limitations, and benchmarking practices is a strong plus.
• Commitment
  
  Required:
  
  8 hours per day, with minimum 4 hours of mandatory overlap with PST (12 PM–6 PM PST).
• Employment Type:
  
  Contractor assignment (no medical/paid leave).
• Pay:
  For MS Degree Holders: $6000 per month, For Ph.D Holders: $7200 per month.

• Round 1:
  Take home assessment.
• Offline assessment completed and submitted for review.
• Round 2:
  Delivery Interview (60 minutes).
• A combined technical and cultural discussion with the Delivery Team.

Mid‑Senior level

Contract

Engineering and Information Technology

IT Services and IT Consulting