Machine Learning Engineer

San Jose FULL TIME $100,000 - $130,000 / Year
($8,333 - $10,833 / Month)

Job Description

We are looking for a Machine Learning Engineer who is passionate about AI and data analytics. The ideal candidate will have experience in designing and implementing machine learning models and algorithms. You will work closely with cross-functional teams to develop innovative solutions that leverage data-driven insights.

Responsibilities

  • Develop, train, and deploy machine learning models using frameworks such as TensorFlow and PyTorch.
  • Partner with business stakeholders to identify opportunities for leveraging data to drive business solutions.
  • Conduct peer reviews and provide feedback on the work of other data scientists.
  • Implement practices for continuous improvement and learning within the team.

Requirements

Education
  • Bachelor's degree in a related field
  • Master's degree in Machine Learning or Artificial Intelligence is a plus
Experience
  • 3-5 years of relevant experience in machine learning and data science
Technical Skills
  • R Programming
  • SQL
Soft Skills
  • Communication Skills
  • Problem Solving
Certifications
  • TensorFlow Developer Certificate
  • AWS Certified Data Analytics
Languages
  • English: Fluent

Advantageous

  • Knowledge of big data technologies: Familiarity with tools like Apache Spark or Hadoop for processing large datasets.
  • Experience with version control systems: Proficient in using Git for project management and collaboration.

Benefits

  • Full health, dental, and vision benefits
  • 401(k) plan with competitive company match
  • Work-from-home options and flexible scheduling
  • Employee professional development and training programs

Company Culture

  • Collaborative Spirit: Our team thrives on collaboration, working together to solve complex challenges.
  • Commitment to Quality: We are dedicated to delivering the highest quality products and services to our clients.
  • Work-Life Balance: We prioritize work-life balance and wellness initiatives for our employees.
Status: Closed