Remote Senior Machine Learning Engineer

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Description:

  • Procurify is seeking a talented and team-driven Senior Machine Learning Engineer to join their AI-enhanced procurement and AP automation platform for the mid-market.
  • The role involves designing, creating, evolving, and maintaining scalable and efficient machine learning systems, including data pipelines, model training, deployment, and monitoring frameworks.
  • Responsibilities include building complex, reusable architectures for services and systems, developing systems for personalized user experiences, and optimizing machine learning models to enhance operational efficiency.
  • The engineer will integrate Large Language Models (LLMs) to develop advanced NLP features and collaborate with Product and Engineering teams to create AI and Machine Learning capabilities.
  • The position requires mentoring other engineers and driving internal process improvements, including automation for data quality control and validation.
  • The ideal candidate should be engaged, curious, and passionate about technology, with a willingness to challenge the status quo.

Requirements:

  • Candidates must have 5-7+ years of experience in a Machine Learning role, including at least 1 year of experience with LLMs.
  • Proven experience as the first ML engineer or in a similar role, demonstrating the ability to build ML systems from the ground up is required.
  • Proficiency in machine learning frameworks and libraries such as Tensorflow, PyTorch, and scikit-learn, along with expertise in data processing and analysis tools like SQL and Pandas is necessary.
  • Experience with LLMs such as GPT, Claude, and Llama, as well as a strong understanding of LLM architectures is essential.
  • Familiarity with ETL/ELT tools, Data Lakehouse technologies, and advanced SQL knowledge is required.
  • Strong programming skills in Python and familiarity with additional languages and tools commonly used in ML engineering are needed.
  • Candidates should have a solid understanding of Data Science concepts and be comfortable leading by example to drive collaboration across teams.
  • The ability to demonstrate initiative, work independently, and manage multiple competing priorities is crucial.
  • Familiarity with DevOps and MLOps principles, as well as leading software development best practices such as scrum/kanban, CI/CD, and test automation is expected.

Benefits:

  • Procurify offers a remote-first work environment with flexible working hours, allowing employees to work from anywhere within Canada.
  • All team members enjoy a four-day workweek to help restore balance between work and life.
  • The company provides unlimited responsible time off, encouraging employees to take time for themselves.
  • Extended health benefits include a competitive health, vision, and dental package, an Employee Assistance Program (EAP), and a health and wellness spending account.
  • Employees can participate in community initiatives, including regular volunteer days and the Donate Your Day program.
  • A competitive stock options program allows everyone to have a chance to own a part of Procurify.
  • The company actively promotes diversity, equity, and inclusion through initiatives such as roundtable discussions and guest speaker events.
  • The base salary range for this position is $136,000 - $170,000, depending on experience, not including bonuses, commissions, benefits, or equity.
About the job
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$ 136,000 - 170,000 USD / year
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