Description
We are seeking an experienced Senior Applied Machine Learning Engineer with a proven track record of deploying, integrating, and leveraging machine learning and AI solutions in real-world, customer-facing environments.
In this role, you will apply your hands-on experience with machine learning and AI technologies to build, optimize, and integrate solutions that address customer needs and improve product performance.
Responsibilities:
- Design, develop, and deploy machine learning models and AI solutions that address real-world customer problems, focusing on usability, scalability, and performance.
- Rapidly develop demos, POCs, MVPs, and workflows to showcase new AI/ML capabilities that could be integrated into the product or used to improve existing features based on customer feedback or market research.
- Develop and improve integrations of open-source ML/AI tools within production environments, ensuring seamless operation on platforms like Kubernetes.
- Fine-tune models and algorithms for accuracy, efficiency, and scalability in production settings, including deep learning technologies.
- Translate customer requirements and industry trends into actionable AI/ML solutions that improve product features, data management, and system performance.
- Work closely with product managers, data scientists, and engineering teams to brainstorm, design, and deploy AI/ML solutions, documenting procedures and best practices.
- Lead efforts in integrating emerging AI tools, mentor junior team members, and communicate progress and challenges to leadership.
Requirements:
- PhD with at least 2 years of relevant industry experience, or the equivalent (e.g., Master’s degree with 4+ years, Bachelor's with 6+ years).
- Extensive hands-on experience applying machine learning and AI solutions in customer-facing or end-user environments.
- Proven ability to deploy models in production, ensuring reliability and performance.
- Experience with open-source ML/AI tools and frameworks.
- Experience with backend programming languages (Python, Go).
- Proficiency in developing, using, and maintaining AI agents; proven experience coding agents for automation or decision-making tasks.
- Excellent written and verbal communication skills, especially in asynchronous collaboration.
Benefits:
- Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.
- Investment in career development and growth.
- Unconditional inclusion and celebration of individual uniqueness.
Salary: The expected salary/wage range for this position is $141,000 - $325,000 per year.