AI Engineer

Yuja

$90K — $100K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-3 years' experience in AI/ML Engineering or Applied Data Science
  • Proficiency in Python and frameworks like PyTorch, NumPy, SciPy, Scikit-learn, and OpenCV
  • Experience with building, training, and deploying models in production
  • Strong understanding of machine learning fundamentals
  • Knowledge of cloud infrastructure (AWS, GCP, Azure)
  • Familiarity with LLM frameworks and vector databases is a plus
  • Experience in a fast-paced environment preferred

Responsibilities

  • Design, develop, and deploy machine learning and deep learning models
  • Collaborate with product, design, and engineering to integrate AI models into customer-facing applications
  • Conduct experiments, analyze data, and iterate models for performance improvement
  • Optimize model performance and scalability, including quantization and edge deployment
  • Stay current with the latest research and apply findings to real-world problems
  • Build and maintain pipelines for data collection, preprocessing, training, and evaluation
  • Contribute to overall system design and participate in code reviews

Benefits

  • Health, vision, and dental benefits, 100% employer-paid
  • Additional benefits including RRSP and gym subsidies
  • Work-life balance with flexible work hours
  • Paid sick days
  • Engagement activities including team celebrations and office perks
  • Employee recognition programs and growth opportunities
Full Job Description
We\'re looking for a passionate AI Engineer to join our core engineering team and help design, build, and scale our AI infrastructure and models.

About the Role
  • Design, develop, and deploy machine learning and deep learning models
  • Collaborate with product, design, and engineering to integrate AI models into customer-facing applications
  • Conduct experiments, analyze data, and iterate models for performance improvement
  • Optimize model performance and scalability (e.g., quantization, distillation, edge deployment)
  • Stay current with the latest research and apply relevant findings to real-world problems
  • Build and maintain pipelines for data collection, preprocessing, training, and evaluation
  • Contribute to overall system design and participate in code reviews


About You
  • 2-3 years\' experience in AI/ML Engineering or Applied Data Science
  • Proficiency in Python and frameworks like PyTorch, NumPy, SciPy, Scikit-learn, and OpenCV.
  • Experience with building, training, and deploying models in production
  • Strong understanding of machine learning fundamentals
  • Knowledge of cloud infrastructure (AWS, GCP, Azure)
  • Experience in LLM frameworks like LangChain and Vector databases like Pinecone is an asset
  • Experience working in a fast-paced environment is preferred
  • Familiarity with front-end or full-stack technologies is a plus


YuJa is a multiple-time honoree on Forbes\' list of Best Start-Up Employers in America. We offer a competitive compensation package that includes a base salary of $90,000 to $100,000 (We are looking for top performers based on work experience and academic performance. For the right candidate, we will beat any contending offer you have or offer a \"name your salary\" opportunity for star candidates), and comprehensive benefits and engagement opportunities.

Comprehensive Benefits:
  • Health, vision, and dental benefits, 100% employer-paid
  • Additional benefits include RRSP, gym subsidies, and more
  • Work-life balance including flexible work hours
  • Paid sick days


Team Engagement:
  • Fun activities and celebrations, including Canada Day Trip, Saint Patrick\'s Day Party, Halloween Costume Contests, Holiday Dinner Party, and more
  • Office perks including company-provided snacks, drinks and events
  • Employee recognition programs, such as gift cards and \"Employee of the Week\" rewards
  • Professional growth including continuous learning opportunities and reimbursements to support personal and professional development
  • Hands-on experience working with senior-level business leaders


Schedule

This is an office-based role with standard hours from Monday to Friday.

How to Apply

You may apply directly online via this site by submitting your resume. If any questions, please send an email to [redacted]

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