Sr. Machine Learning Engineer - 130K-180K - State Space Modeling

Title: Senior Machine Learning Engineer
Location: Hybrid in Laguna Hills (Onsite 3 days a week)
Compensation: $130,000 - $180,000 Annual Base Salary (depending on experience) 

We are a well funding, small company that has been in business for 20 years.  We have pushed the boundaries in AI and helped improve technology in various industries such as biomed, space, and military.  We are seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team in Laguna Hills, CA (Hybrid). The ideal candidate will lead the design and implementation of advanced machine learning algorithms from scratch, focusing on State Space Modeling and other innovative techniques. 

We have about 40 employees but this person will be on our R&D team (about 5 engineers) reporting to our Lead Scientist of the team who will delegate duties with timelines. This is an opportunity to develop AI using new algorithms that people have not seen before and for new hardware that no one has programmed before!  We are looking for talented candidates that have studied subjects like Theoretical Physics, AI, Mathematics, etc.

Candidates with completed questionnaires will be reviewed first!

Key Responsibilities

• Design and develop machine learning models using State Space Modeling techniques.
• Conduct research and development to explore new methodologies and technologies in machine learning.
• Implement machine learning algorithms using PyTorch and Python.
• Analyze and process large datasets with NumPy to derive meaningful insights.
• Collaborate with cross-functional teams to define project requirements and deliver robust AI solutions.
• Evaluate and optimize the performance of existing models and systems.
• Mentor junior engineers and contribute to team knowledge sharing.

Qualifications

• Bachelor of Science, Master's degree or PhD in Computer Science, Mathematics, or a related field.
• 5+ years of experience in machine learning and AI development.
• Proficiency in Python and PyTorch for building machine learning models.
• Solid understanding of mathematical concepts and statistical analysis.
• Experience with State Space Modeling and other relevant machine learning techniques.
• Strong analytical skills and ability to work with large datasets.
• Familiarity with additional technologies such as S4, S5, Mamba Models, quantization, and embedded coding is a plus.

Benefits

• 100% Covered HMO Benefits for employees and dependents- Medical, Dental, and Vision Benefits; PPO covered partially (Benefits start Day 1 of employment)
• Start with 3 weeks PTO (10 hours each month - Accrue 10 hours/month of PTO working with our company; increases with tenure)
• 401k with up to 6% matching - contribution starts on Day 1 of employment
• Annual Bonuses (10% of Salary end of year)
• RSU's (In stock exchange and have actual value)
• Hybrid work environment - 3 days onsite in Laguna Hills
  
   

For this position you must be currently authorized to work in the United States. We do not sponsor for this position.