Job Description

Position Overview

Join an innovative SaaS company that thrives on cutting-edge technology and a dynamic work environment, as a 100% Remote Machine Learning Engineer based in Lake Forest, CA. This role immerses you in the heart of enterprise software development, cloud platforms, and B2B technology. As part of a forward-thinking team, you’ll lead efforts to design, implement, and refine machine learning models and solutions that empower businesses globally. Your work will directly contribute to our mission of transforming data into intelligent action, all from the comfort of your home office.

Key Responsibilities

As a Machine Learning Engineer, you will:

• Lead a team of 4-6 technicians in developing robust machine learning solutions.
• Collaborate with cross-functional teams to integrate AI models into scalable SaaS products.
• Design, develop, and deploy machine learning algorithms using Python, TensorFlow, and PyTorch.
• Implement best practices for ML model lifecycle management with Docker, MLflow, and Kubernetes.
• Evaluate and fine-tune models for performance and scalability.
• Stay abreast of industry trends and emerging technologies in machine learning and AI.
• Foster a collaborative virtual team environment and contribute to remote work culture.

Required Qualifications

To succeed in this role, you must have:

• 4-7 years of hands-on experience in machine learning and AI development.
• Proven expertise with Python, TensorFlow, and Scikit-learn.
• Relevant certifications: Azure AI Engineer, TensorFlow Developer Certificate.
• Strong understanding of cloud platforms and enterprise software solutions.
• Experience leading technical teams and managing project timelines.
• Excellent communication skills for effective remote collaboration.
• A self-motivated approach with the ability to work independently in a remote setup.

Preferred Qualifications

While not mandatory, the following will set you apart:

• Preferred certifications: Deep Learning Specialization, AWS Machine Learning Specialty.
• Familiarity with Docker, MLflow, and Kubernetes for model deployment and management.
• Previous experience working in SaaS environments or B2B tech companies.
• Enthusiasm for contributing to open-source projects or tech communities.

Benefits & Perks

We offer a comprehensive benefits package tailored to support our remote employees:

• Competitive salary with performance-based incentives.
• Comprehensive health, dental, and vision insurance plans.
• 401(k) plan with company matching.
• Generous paid time off policy to ensure work-life balance.
• Flexible work schedule accommodating standard business hours.
• Access to cutting-edge tools and resources for professional development.

Growth & Development

At our company, we believe in fostering growth and development for our team members:

• Engage in continuous learning through technical training programs.
• Participate in workshops and conferences to expand your expertise.
• Opportunities for career advancement within a growing SaaS company.
• Collaborate with industry leaders and innovators in machine learning and AI.
• Be part of a vibrant tech community in Lake Forest, a hub for innovation and digital transformation.

Joining our team means more than just a job; it’s a chance to be part of a digitally-forward culture that values innovation, collaboration, and the diversity of distributed teams. If you’re ready to leverage your machine learning expertise to drive change and make an impact, we invite you to apply and help shape the future of SaaS technology.

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