Senior Machine Learning Engineer

hace 4 horas

Ciudad de México, Ciudad de México Jobs for Humanity A tiempo completo

At Turnitin, we are committed to ensuring the integrity of global education and improving learning outcomes. We are seeking a Senior Machine Learning Engineer to join our team in Oakland, California.

About the Role

We are looking for a highly skilled Senior Machine Learning Engineer to work on our machine learning models. The successful candidate will be responsible for developing, training, and maintaining machine learning models that power our AI writing detection system, automated feedback on student writing, authorship investigation, assessment creation and grading, and back-end processes.

Key Responsibilities

  • Collaborate with subject matter experts and product owners to determine what questions should be asked and what questions can be answered.
  • Curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices.
  • Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary.
  • Develop and tune machine learning models, following best practices to select datasets, architectures, and model parameters.
  • Utilize, adopt, and fine-tune language models, including third-party LLMs through prompt engineering and orchestration.
  • Stay current in the field - read research papers, experiment with new architectures and LLMs, and share findings.
  • Optimize models for scaled production usage.
  • Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners.
  • Write clean, efficient, and modular code, with automated tests and appropriate documentation.

Requirements

  • Experience working with text data to build deep learning and ML models, both supervised and unsupervised.
  • A strong understanding of the math and theory behind machine learning and deep learning.
  • Software engineering background with 3-5 years of experience (waived for a PhD in Computer Science or related: we use Python, SQL, Unix-based systems, git, and github for collaboration and review).
  • Machine/deep learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases).
  • An understanding of language models, using and training/fine-tuning, and familiarity with industry-standard LM families.
  • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math, or related field, with relevant industry experience, or outstanding previous achievements in this role.
  • Excellent communication and teamwork skills.
  • Fluent in written and spoken English.

Estimated Salary

$120,000 - $180,000 per year.

Benefits

  • Remote-first culture.
  • Health care coverage.
  • Education reimbursement.
  • Competitive paid time off.
  • 4 self-care days per year.
  • National holidays.
  • 2 founder days + Juneteenth observed.
  • Paid volunteer time.
  • Charitable contribution match.
  • Monthly wellness or home office reimbursement.
  • Access to Modern Health (mental health platform).
  • Parental leave.
  • Retirement plan with match/contribution.

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