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Machine Learning Engineer

Slash RecruitmentSan Francisco, California, United States | United StatesRemote, Onsite
This job is no longer open

About Us


Our client, a start up in the Human Resources industry is looking for a talented ML Engineer to join their team. You will play a critical role in designing, building, managing, and optimizing our cloud infrastructure to ensure a scalable, secure, and high-performing e-commerce platform.

Responsibilities



  • Collaborate with data scientists to understand data requirements and feature engineering.

  • Develop, train, and evaluate machine learning models using Python libraries like scikit-learn, TensorFlow, or PyTorch.

  • Optimize model performance for efficiency and accuracy, considering factors like hardware constraints and latency.

  • Develop and implement unit tests for machine learning code.

  • Integrate machine learning models into our production systems using C++ for performance-critical components.

  • Monitor model performance and iterate on models to improve results.

  • Stay up-to-date on the latest advancements in machine learning research and development.

Qualifications



  • Master's degree in Computer Science, Statistics, or a related field (or equivalent experience).

  • Strong proficiency in Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch).

  • Experience with deep learning frameworks is a plus.

  • Solid understanding of machine learning concepts (supervised learning, unsupervised learning, reinforcement learning).

  • Experience with data preprocessing, feature engineering, and model evaluation techniques.

  • Experience with cloud platforms (AWS, Google Cloud Platform, Azure) is a plus.

  • Experience with C++ for performance-critical applications.

  • Excellent communication and collaboration skills.

  • Ability to work independently and as part of a team.

  • A passion for machine learning and a strong desire to learn and adapt.

Bonus Points



  • Experience working in a startup environment.

  • Experience with developing and deploying machine learning models in production.

  • Experience with DevOps practices.

  • Experience with a specific domain relevant to our company (e.g., computer vision, natural language processing).

Benefits



  • Competitive salary

  • Comprehensive health, dental, and vision insurance

  • Unlimited PTO

  • 401(k) retirement plan with employer matching contributions

  • Commuter benefits package to offset transportation costs

  • On-site perks and wellness programs to promote well-being

  • And more!

This job is no longer open

Life at Slash Recruitment

Thrive Here & What We Value* Collaborative and inclusive company culture* Ongoing training and professional development opportunities* Employee recognition programs* Company-sponsored social events and team-building activities.
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