Job Title: Applied Machine Learning Engineer
Salary: $200,000 - $300,000 + Equity
Location: Remote OR San Jose, CA (3 days on-site)

Responsibilities:

• Implement and maintain machine learning pipelines in line with product goals.
• Develop and maintain asynchronous messaging protocols between backend and frontend systems, identifying opportunities for optimization.
• Set up monitoring and alerting systems to detect issues, errors, or optimization opportunities.
• Analyze media processing pipelines, defining interfaces, expected output quality, and required workflows.
• Evaluate generative AI models (e.g., Diffusion, GANs, LLMs) to determine applicability for product needs.
• Research and experiment with new models to enhance product capabilities.
• Deploy, fine-tune, and integrate models with platform systems, adapting to unique content requirements.
• Design and implement data curation pipelines to support model-specific needs.
• Collaborate with engineering and design teams to identify and solve emerging product challenges.
• Build scalable and cost-efficient API connections to cloud-deployed AI models.

Requirements:

• Experience with large-scale distributed systems and machine learning platforms.
• Proven experience curating and bootstrapping datasets for image generation or classification tasks.
• Expertise in Python, PyTorch, and other relevant ML libraries.
• Ability to read, understand, and implement research in generative AI, collaborating with internal or external researchers.
• Strong foundation in computer vision, deep learning, and AI principles.
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
• Self-motivated and able to work independently in a fast-moving, small team environment.

Benefits:

• Fully Covered Medical, Dental, and Vision Insurance
• Paid Time Off
• Parental Leave
• Free Lunches
• Team Building Events
• Collaborative Team environment

If you are interested in learning more about this position or any other roles we may have open, please apply today!

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• Please let us know if you require any accessibility adjustments through the application or interview process.

Our Commitment to Diversity, Equity, and Inclusion:
Signify’s mission is to empower every person, regardless of their background
or circumstances, with an equitable chance to achieve the careers
they deserve. Building a diverse future, one placement at a time.