Machine Learning Fellow – Human Frontier Collective

🔥 1 hour ago

🇨🇦 Canada – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Scale AI

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Scale AI is a company focused on improving the effectiveness of AI models through high-quality data management and evaluation. They partner with various enterprises, government agencies, and generative AI companies to provide data solutions, including data labeling and curation, RLHF, and model evaluation. Scale AI is dedicated to supporting AI development with their Scale Data Engine and GenAI Platform, which facilitate the integration of enterprise data to enhance strategic differentiation. They also conduct research initiatives through their SEAL (Safety, Evaluations, and Alignment Lab) to advance AI model capabilities.

📋 Description

• Participate in an interdisciplinary expert network focused on advancing frontier AI • Work on selected AI/ML projects with Scale AI and affiliated labs and platforms • Build AI safety and policy guardrails • Design, review, and optimize PyTorch models • Evaluate complex ML code and AI-generated implementations for efficiency and correctness • Evaluate AI models and design experiments • Build reinforcement-learning environments • Co-author technical reports and research papers with Scale’s research team • Get matched regularly to selected partner projects • Discuss research experience, professional background, and mission alignment during the interview process

🎯 Requirements

• PhD, or postdoctoral research experience, in Machine Learning, Computer Science, or a related field; or senior industry experience in Machine Learning or a related field • Strong proficiency in Python and modern ML frameworks, including PyTorch and TensorFlow • Experience with cloud infrastructure such as AWS • Experience with MLOps tools such as Docker • Experience with LLM frameworks such as LangChain is a plus • Detail-oriented, innovative thinker with a passion for applied AI research and a commitment to collaboration • Must have or independently obtain full-time work authorization in the country of residence • Scale AI does not sponsor visas for Fellows

🏖️ Benefits

• Fully remote opportunity with no fixed end date; engagements continue as long as there's mutual interest • Flexible schedule with no minimum commitment; fellows set their own schedules • Community network access, including newsletters, discussion channels, virtual sessions, IRL events, and more • Opportunities to co-author technical reports and research papers • Competitive project pay rates • Most fellows spend 10–25 hours per week

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