Machine Learning Engineer

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

Job Description

As a Machine Learning Engineer with us in Boston, you will be responsible for developing and implementing machine learning models. You will work closely with our data engineering team to process large datasets and deploy models into production, making a significant impact on our technology-driven initiatives.

Responsibilities

  • Architect machine learning systems and ensure their scalability.
  • Analyze complex datasets and extract meaningful insights.
  • Integrate machine learning solutions into existing products and services.
  • Mentor and guide junior engineers on best practices in ML.
  • Participate in hackathons and events to foster innovation within the team.
  • Maintain a robust understanding of ethical considerations in AI.

Requirements

Education
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Master's degree is a plus
Experience
  • 4+ years of experience in machine learning and AI
Technical Skills
  • R
  • Deep Learning
Soft Skills
  • Teamwork
  • Adaptability
Certifications
  • AWS Certified Machine Learning
  • Microsoft Certified: Azure AI Engineer Associate
Languages
  • English: Fluent

Advantageous

  • Hands-on experience with big data technologies like Spark: Experience in leveraging big data tools for processing vast datasets.
  • Understanding of ethical AI practices: Knowledge of AI ethics and their implications in technology.

Benefits

  • Comprehensive health, dental, and vision insurance
  • 401(k) with generous company match
  • Flexible work hours and remote options
  • Employee wellness programs
  • Access to training and workshops

Company Culture

  • Continuous Learning: We encourage continuous learning and provide resources for professional growth.
  • Work-Life Balance: We promote a healthy work-life balance and support flexible working arrangements.
  • Community Engagement: We strive to engage with and give back to the community through various initiatives.
Status: Closed