Applied Machine Learning Engineer

$100,000 - $115,000/Yr

Design Pickle - Scottsdale, AZ

Full-time - Mid Level

Remote - Scottsdale, AZ

Professional, Scientific, and Technical Services

About the position

Design Pickle is seeking an experienced Applied Machine Learning Engineer to develop innovative AI-driven applications and streamline processes for its global network of creatives. This role involves building and maintaining data pipelines and models to support decision-making and actionable insights, contributing significantly to the company's vision of becoming the most helpful creative platform in the world.

Responsibilities

• Rapidly conceptualize, develop, and deploy web applications that are data-driven and leverage AI to deliver innovative solutions.
• Utilize Python data science libraries such as Pandas and Scikit to process, analyze, and transform data for AI applications.
• Design, implement, and integrate production-grade generative AI APIs into applications, ensuring seamless functionality and user experience.
• Mentor and provide technical guidance to team members in data-centric roles, fostering skill development and best practices in data science and AI.
• Apply AI prompt engineering techniques to enhance model performance and drive accurate, efficient outcomes.
• Architect and deploy scalable data solutions supporting AI models and products, including full-stack proof-of-concept applications, production-grade APIs, and backend services for seamless integration.
• Balance rapid prototyping with production-grade development to ensure performance and scalability.
• Collaborate closely with cross-functional teams and communicate technical insights effectively to stakeholders.
• Maintain an up-to-date knowledge of emerging AI tools and technologies in the marketplace, evaluating and applying them effectively to relevant use cases within the organization.

Requirements

• 3+ years of experience in data science and web application software engineering.
• 2+ years in building full stack applications to prove out concepts and prototypes.
• 2+ years of experience building out AWS Ops architecture.
• Ability to communicate proactively and cross-functionally with audiences of varying technical ability.
• Proficiency in Python for data analysis and machine learning.
• Familiarity with Pandas and Scikit, and other data science libraries.
• Proficiency with Snowflake, including data integration, products, and leveraging these within machine learning workflows.
• Knowledge of implementing and integrating generative AI models and APIs.
• Experience with Gen AI prompt engineering and prompt optimization.
• Ability to incorporate concept and experiment code into production quality web application backend.
• Strong problem-solving and critical thinking skills.
• Excellent communication and collaboration abilities.

Nice-to-haves

• BA/BS in Computer Science or related STEM field.
• Knowledge of containerization and deployment using tools like Docker and Kubernetes.
• Passion for staying up-to-date with the latest advancements in AI and ML.
• Experience with Ruby on Rails backends and React.js.

Benefits

• Uncapped PTO
• Major medical healthcare, including Dental and Vision insurance
• Remote-work flexibility
• 401K with company match
• New parent leave of up to 8 weeks at full salary
• Short Term / Long Term Disability Options
• Remote Work & Wellness Stipends
• Pet insurance through United Pet Care
• Team retreats, social events, and adventures