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Senior Machine Learning Engineer
1 month ago
About IFTTT:
IFTTT is a platform that helps everything work better together. With over 25M users, 160k Pro customers, and 1,000+ supported services, we are the established no-code standard for connecting anything in our growing digital world.
About the Role:
We are seeking a Senior Machine Learning Engineer to leverage modern advancements in AI to unlock more human-like and intelligent capabilities for millions of users on the IFTTT platform.
Key Responsibilities:
- Design and implement machine learning models to build personalized features and enhancements in partnership with appropriate stakeholders.
- Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready.
- Collaborate with multidisciplinary teams to understand project requirements and objectives.
- Contribute to projects that require cutting-edge technology and innovative approaches.
- Coach and mentor other engineers to allow for a robust and reliable Machine Learning and AI development process.
Requirements:
- Passionate about building high-performance and cost-efficient solutions using the latest container, cloud, and serverless technologies.
- Strong product sense with a focus on delivering user-facing, data-driven features.
- Proficiency in developing and optimizing advanced Retrieval-Augmented Generation (RAG) pipelines.
- Excellent programming skills in Python, with a focus on writing clean and modern code.
- Proven expertise in building, fine-tuning, and deploying Large Language Models (LLMs).
What We Offer:
- Competitive compensation.
- Meaningful Equity.
- Flexible PTO policy.
- Generous paid holidays/company off days per year.
About Us:
At IFTTT, we believe in the power of technology to make the internet work better for millions of people.
Location:
This role is fully remote.
Contact Information:
Please don't contact us with unsolicited services or job inquiries.
Disclaimer:
The annual salary for this position is $160,000 to $225,000 + equity and benefits. The starting pay for the successful applicant will depend on various job-related factors, which may include skills, education, training, experience, or location.
