- Proficiency in Pattern Recognition, Neural Networks, Statistics, and Algorithms
- Solid background in computer science and machine learning
- Hands-on experience in optimizing LLM Models and building RAG Pipelines
- Strong programming skills, especially in Python
- Outstanding problem-solving abilities and analytical mindset
- Capability to collaborate effectively within a team setting
- Master's degree or PhD in Computer Science, Data Science, or related fields
- Bonus: Familiarity with large-scale data processing and distributed computing frameworks
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Senior Machine Learning Engineer - Redmond, United States - Centific
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Description
Company Overview
Welcome to Centific! We are a top-notch tech company located in the Greater Seattle Area. Our focus is on cutting-edge innovation for creators of artificial intelligence and various industries, providing top-tier engineering platforms and carefully curated data in multiple modes and languages. With a talented team of over 150 experts including PhDs, data scientists, AI specialists, and engineers, we work together to empower our clients with secure and scalable AI solutions. By uniting platforms, partners, and 1.8 million domain experts, we deliver high-quality pre-trained datasets and industry-specific models, resulting in significant cost savings and accelerated time-to-market across 230 different locations.
Position Overview
We are currently seeking a full-time Senior Machine Learning Engineer to join our team at Centific. As a Senior Machine Learning Engineer, your primary responsibilities will involve refining LLM models and constructing RAG pipelines. Collaboration with our team to develop and enhance LLM models according to SAFE AI principles is a key aspect of this role. Applicants should possess a deep knowledge of computer science and expertise in various machine learning techniques.
Requirements
Benefits - inclusive healthcare, dental & vision coverage, 401k retirement plan, generous PTO, and more
Centific is proud to be an equal-opportunity employer, dedicated to fostering a diverse and inclusive workplace. We value all applicants based on their qualifications, without any discrimination related to race, religion, nationality, disability, medical conditions, gender, sexual orientation, marital status, veteran status, or any other legally protected characteristic.