LLM - Applied AI Research Scientists, Ahuntsic North
LLM - Applied AI Research Scientists, Ahuntsic North
-
Ahuntsic North H2B, Canada -
Last edited: less than a week ago
-
Save -
Share
Description
MillionLogics, 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, MillionLogics 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, MillionLogics offers cutting‑edge services and technologies to help organizations thrive in the digital age.
Role Overview 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 at Turing. In 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.
Eligibility Only for MS or Ph.D holders with 2+ years of Python Development experience.
Responsibilities
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
Required Skills&Qualifications
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.
Nice to Have
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.
Evaluation Process
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.
Seniority Level Mid‑Senior level
Employment Type Contract
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr
Role Overview 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 at Turing. In 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.
Eligibility Only for MS or Ph.D holders with 2+ years of Python Development experience.
Responsibilities
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
Required Skills&Qualifications
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.
Nice to Have
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.
Evaluation Process
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.
Seniority Level Mid‑Senior level
Employment Type Contract
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr
Highlights
-
Company nameMillionLogics -
Job positionLLM - Applied AI Research Scientists
-
Flag -
Block ad
Safety Tips
Be careful with multilevel marketing programs, and their income projections.
Related searches
More info about this ad
LLM - Applied AI Research Scientists has been posted in the Laval Engineering category on Locanto.
If you’re still wanting to browse, there is so much to explore in the Engineering category! Take a look at the ads Electromagnetic Compatibility Engineer, Ahuntsic North, Senior Hardware Engineer, Ahuntsic North and Intermediate Engineering Technologist, Structural & Outfitting in Ahuntsic North to discover more of what you’re looking for. In total, we have 7 ads in Engineering in Laval on Locanto classifieds.
Interested in more? Widen your search to view ads in nearby areas of Laval. This includes Engineering in Saint-Eustache, Boisbriand and Blainville. There are more ads within a 15 km radius for this category. If you want to view those ads, click here.
