Machine Learning Engineering Intern
Cresta · Toronto, Canada (Hybrid)
Posted about 3 months ago · $45-$70
or apply directly on Cresta's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Cresta's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- Yes 45% of Cresta's roles list one
- Ghost-job risk at Cresta
- high 94 stale, 1 reposted of 95 open
- Hiring momentum
- 118 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Cresta's own greenhouse board since 2026-08-03. Full hiring picture for Cresta.
About this role
As a Machine Learning Engineering Intern at Cresta, you will work on developing AI solutions aimed at enhancing agent productivity in contact centers. Your responsibilities will include designing and deploying knowledge assist solutions, collaborating with software engineers, and tackling practical AI challenges. This role offers a dynamic environment where you can contribute to significant AI research and innovations.
- benefits
- 2/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Cresta as an employer.
What you need
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
- Proficiency in Python
- Familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow)
- Strong understanding of machine learning fundamentals and generative modeling
- Ability to design and analyze experiments involving large-scale datasets
- Work authorization in the country of employment at the time of hire
What you get
- $45-$70 per hour subject to taxes
- Lunch can be expensed (up to $25) while working in the office
- PTO: 4 days
- Compensation for this position includes a base salary, equity, and a variety of benefits
Worth weighing
- No specific mention of remote work flexibility beyond hybrid
- Salary range is broad and dependent on candidate-specific factors
- Internship may involve working with cutting-edge AI but also requires practical problem-solving in real-world scenarios
Summarised from Cresta's posting. Read the full original.
Listed by Cresta on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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