Machine Learning Engineer - Modeling and ML Infrastructure
Sunnyvale, CA, United States
Machine Learning Engineer (Modeling and ML Infrastructure)
AIMon Labs., a well-funded startup backed by top-tier VCs and reputed Silicon Valley angel investors, presents a unique opportunity to define and shape multiple areas of innovation in the field of Generative AI. We are looking for a strong AI/ML expert who will significantly contribute to our ML/AI projects. This will be a great opportunity to influence the overall company direction.
RESPONSIBILITIES:
* Define, lead, and execute ML/AI projects. The primary focus will be on LLMs, deep learning, modeling, and ML infrastructure.
* Help translate complex business requirements into AI/ML projects. Build tangible, deployable solutions and products.
* Collaborate with a cross-functional team to build out our AI-first product offerings.
* Stay up to date with the latest developments in AI and ML to continually enhance our capabilities.
* Foster a culture of innovation and intellectual curiosity within the team.
QUALIFICATIONS:
* MS in NLP, Neural Networks, Deep Learning, or related ML/AI areas.
* Minimum of 5 years of hands-on experience in applied machine learning including traditional ML and modern deep learning techniques.
* Experience in ML modeling, algorithm development, and practical implementation of these techniques in real-world scenarios.
* Experience with technologies such as PyTorch or TensorFlow.
* Experience with fine-tuning Large Language Models (LLMs) including building infrastructure to enable scalable fine-tuning.
* Experience building scalable and robust infrastructure that powers ML training, data labeling, feature generation, hyper-parameter optimization, and model inference.
* Exceptional problem-solving skills and creativity in developing new algorithms and approaches.
* Excellent leadership, communication, and collaboration skills.
BONUS:
* PhD. MS in NLP, Deep Learning, or in ML infrastructure.
* Experience building back-end and front-end applications using Python and ReactJS.
TRAITS:
The ideal candidate will possess the following key traits:
Customer Obsession: A do whatever it takes attitude to make our customers successful
Independence and a self-starter attitude
Ability to thrive in ambiguity
Adaptability, Resilience, and Continuous Learning
Collaboration and Teamwork
Resourcefulness
Risk Tolerance
ABOUT US:
* We are a well-funded startup backed by top-tier VCs and are building with early customers. The founding team has experience working in startups such as AppDynamics, Mulesoft, and Thumbtack and also bigger companies such as Netflix and VMware.
* Although we are a young startup, we are committed to creating a workplace that reflects a wide array of backgrounds, perspectives, and skills. We strongly encourage applications from individuals of all races, ethnicities, genders, ages, sexual orientations, abilities, and socioeconomic backgrounds.
NOTES:
We are NOT interested in employing recruiting agencies.
We are NOT looking to hire outside US time zones (Americas).
We are NOT looking to hire Front-end, Back-end, or QA engineers.
The founding team has a deep ML/AI background (>25 years). We are looking for people with similar backgrounds in Deep Learning, Neural Networks, RLHF, etc.
A min. of 5 years working full-time in an ML/AI role is required.
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