Cresta

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.

Our read on this posting3.2out of 5
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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