At QARL AI, we believe in a culture of continuous improvement and mutual learning between team mates. To this effect, we eschew a working environment where individuals become excessively specialized and isolated from each other.

Even though the candidate’s responsibilities can be broadly classified into one of the following two tracks, a candidate is expected to contribute to both tracks:

ML Science Track

• Primary responsibilities: Train/fine tune/optimize deep learning models for computer vision and natural language processing, with the objective of improving the level of empathy in interactions between an AI agent and a human user.
• Education level: Masters of Science (or above) in Computer Science (or related fields). Preferably with a track record of independent scientific research in AI.
• Relevant experiences:
  • Python development,
  • Machine learning framework like Keras/Tensorflow/Torch,
  • Machine learning on cloud with AWS Sagemaker,
  • Appropriate certification (e.g. MLS-C01 from AWS) is a definite plus,
  • Hands-on experience with Natural Language Processing and Compute Vision is a plus.

ML Cloud Development Track

• Primary responsibilities: Architect, deploy, and optimize AI based microservices on a cloud platform to realize a digital person who can see, hear, and interact with a biological human in real time.
• Education level: Bachelor of Science (or above) in Computer Science (or related fields).
• Relevant experiences:
  • Container deployment and orchestration technologies like Docker, Kubernetes, and Helm,
  • IaC tools like Terraform and Ansible,
  • Microservices development, deployment, and scaling on cloud platforms (AWS, GCP, or Azure),
  • Familiarity with NVIDIA Enterprise AI (ACE, NIM) will be a definite plus,
  • Appropriate certification (e.g. SAP-C02, SAA-C03 from AWS) is a definite plus,
  • Proficiency in a modern programming language (e.g. Python, Javascript, C++).

Qualifications & Requirements

The ideal candidate will have demonstrated 3 or more years of relevant experience in at least one of the two aforementioned tracks. The candidate must also embrace the opportunity to contribute to both tracks and be eager to share knowledge with team mates. That is, a candidate hired for their competence in ML Cloud Development, could be expected to contribute to Science related tasks (and vice versa), in accordance to business needs. The company will provide the necessary training in the form of peer knowledge sharing, technical reading material, online courses, etc.

Benefits

• Competitive salary and compensation package, including stock options, health care, and dental care
• A remote-first work environment with a weekly 3 hour F2F meeting in Montreal
• Regular team lunches
• Stipends applicable towards continuous learning and subscriptions to ChatGPT, Gym, Premium Youtube, etc
• Work with one of the world’s best teams in artificial emotional intelligent and digital humans