Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our dynamic team in San Diego. The ideal candidate will have a strong foundation in machine learning algorithms and a passion for developing intelligent systems. You'll work closely with data scientists and software engineers to build solutions that improve operational efficiencies and drive business growth.

Responsibilities

• Develop state-of-the-art machine learning algorithms and models.
• Collaborate with cross-functional teams to define innovative solutions.
• Perform data manipulation, cleansing, and transformation to prepare data for modeling.
• Utilize cloud-based platforms for model deployment and scaling.
• Communicate results and findings to non-technical stakeholders effectively.
• Mentor junior team members and contribute to their professional development.

Requirements

Education

• Bachelor's degree in relevant technical field
• Master's degree in Computer Science or Data Science is a plus

Experience

• 5+ years of experience in machine learning engineer role

Technical Skills

• R
• Deep Learning

Soft Skills

• Teamwork
• Problem-solving

Certifications

• Microsoft Certified: Azure Data Scientist Associate
• Data Science Professional Certificate from IBM

Languages

• English: Fluent

Advantageous

• Experience with reinforcement learning algorithms: Hands-on experience with implementing reinforcement learning in projects.
• Knowledge of big data technologies like Hadoop or Spark: Experience with distributed data processing frameworks.

Benefits

• Health, dental, and vision insurance packages
• 401(k) with generous employer match
• Remote work flexibility and potential for hybrid work options
• Professional development and training resources

Company Culture

• Continuous Learning: We believe in lifelong learning and provide our team with resources and opportunities for professional growth.
• Supportive Team Environment: Our team is supportive and works together to achieve common goals, celebrating each other's successes.
• Focus on Employee Wellness: We promote a healthy work-life balance through various wellness programs and initiatives.