AI Research Engineer
Applied AI Engineer with at least 1-2 years of professional experience to join a new generative artificial intelligence platform for the food & beverage, consumer packaged goods and ingredients industries.
The ideal candidate has strong knowledge of Python, experience with generative AI model training & fine-tuning, and has worked in professional environments with engineering or AI/ML teams. This engineer will participate in the full end-to-end deep learning process from data collection to model deployment.
Benefits:
Health/Dental/Vision Insuranse • Flexible PTO • Stock Options • 401K Plan
Qualifications
- Bachelor's or Master's degree in Computer Science, Mathematics, Artificial Intelligence / Machine Learning, or a related field.
- 2 or more years of professional experience working on applied AI projects, preferably in a product development or research environment.
- Strong knowledge of Python, with experience in popular machine learning libraries (e.g., TensorFlow, PyTorch).
- Solid understanding of machine learning concepts and algorithms.
- Experience with training and fine-tuning AI models and working with large-scale training datasets.
- Proficiency in data preprocessing, feature engineering, and exploratory data analysis.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with deploying AI models in cloud-based environments.
- Experience with proteins, especially G protein-coupled receptors (GPCRs) a plus.
- Excellent problem-solving and analytical thinking skills, with a strong attention to detail.
- Effective communication and teamwork abilities, with the capacity to work in a fast-paced, collaborative environment.
Responsibilities
- Fine-tune foundational machine learning algorithms and models for various generative AI applications.
- Develop multi-model architectures to meet product & business requirements for new venture concepts.
- Collect, preprocess, and analyze data to extract meaningful insights and improve the performance of AI models.
- Train, deploy and maintain AI models in production environments, ensuring scalability, reliability, and efficiency.
- Build and maintain data architecture that procures and pre-processes data for model training.
Olfactive Biosolutions is an equal opportunity employer. Similar to the various receptors in our nose and tongue that work together to help us smell and taste the world around us, we believe in bringing together a diverse workforce to further our technology in sensory innovation.
This is an on-site position in Mountain View, California.
Must have permanent authorization to work in the United States. Visa sponsorship is not available for this position.
Olfactive Biosolutions requires proof of COVID-19 vaccination.