Machine Learning Engineer

Job Description

We are seeking a passionate Machine Learning Engineer to join our dynamic team in Cambridge. In this role, you will engage with innovative AI projects, develop machine learning models, and contribute to our cutting-edge solutions. You will work closely with data scientists and software engineers to implement scalable machine learning algorithms that can drive significant impacts across various industries.

Responsibilities

• Conduct research to identify new algorithms or technologies that can improve model performance.
• Assist in deploying machine learning models and monitoring their performance.
• Collaborate closely with product teams to translate needs into technical tasks.
• Train team members on best practices for machine learning development.
• Foster a culture of continuous learning and improvement within the team.

Requirements

Education

• Bachelor's degree in Computer Science, Engineering, or related field
• Master's degree in a relevant field is a plus

Experience

• 3+ years of hands-on experience in machine learning projects

Technical Skills

• Python
• Machine Learning Algorithms

Soft Skills

• Problem-solving
• Communication

Certifications

• Certified Data Scientist
• Google Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Experience in reinforcement learning: Practical knowledge in developing reinforcement learning models.
• Knowledge of big data technologies (e.g., Hadoop, Spark): Exposure to big data processes and tools.

Benefits

• Comprehensive health insurance covering dental and vision
• Generous retirement plan with employer contributions
• Work-life balance initiatives
• Opportunities for attending industry conferences and workshops

Company Culture

• Continuous Learning: We promote continuous learning and support our employees through training and mentorship opportunities.
• Community Engagement: We are committed to giving back to the community and encourage employee involvement in outreach programs.
• Sustainability: We focus on sustainable practices in technology development and operations.