Senior / Staff / Principal Machine Learning Engineer
Location: Onsite San Francisco (5 days onsite AND hybrid options)
We have multiple startups interested in talent. Here is a generic summary. Instead of a perfect job description, we present talented individuals to companies and allow them to share how that talent fits in the organization.
Key Responsibilities:
Model Development:
Designing and implementing ML algorithms and models, including deep learning models.Data Handling:
Preprocessing, analyzing, and preparing large datasets for model training and evaluation.System Integration:
Collaborating with software engineers to integrate ML models into production systems.Performance Optimization:
Continuously improving and optimizing ML models for accuracy, efficiency, and scalability.Monitoring and Maintenance:
Monitoring model performance in production, troubleshooting issues, and ensuring model reliability.Staying Updated:
Keeping abreast of the latest advancements in ML, AI, and related technologies.Collaboration:
Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions.
Essential Skills:
Programming Languages: Strong proficiency in Python, R, or other relevant languages.
ML Frameworks: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
Data Science Fundamentals: Solid understanding of statistical analysis, data modeling, and machine learning algorithms.
Problem-Solving: Excellent analytical and problem-solving skills to address complex challenges.
Communication: Effective communication skills to convey technical information to both technical and non-technical audiences.
Collaboration: Ability to work effectively in a team environment.
Education and Experience:
A bachelor's or master's degree in computer science, engineering, mathematics, statistics, or a related field is typically required.
Several years of experience in machine learning, data science, or software development is often preferred.
Compensation: Market range and can include equity – details can be provided after the specific client is determined.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field
- Several years of experience in machine learning, data science, or software development
- Strong proficiency in Python or R
- Experience with TensorFlow, PyTorch, or scikit-learn
- Solid understanding of statistical analysis, data modeling, and machine learning algorithms
- Experience preprocessing and preparing large datasets for model training and evaluation
- Experience integrating ML models into production systems
- Experience optimizing model performance for accuracy, efficiency, and scalability
- Excellent analytical and problem-solving skills
- Effective communication skills for technical and non-technical audiences and ability to collaborate in teams
What We Do
LAI International Leading Advanced Innovations Aerospace Defense Energy Industrial Medical Manufacturing Solutions Additive Waterjet Electrical Discharge Machining CNC Laser Welding Fabrication Assembly Design Assist 3D Printing Post Processing CMM ECM Data Analysis New Product Introduction Rapid Prototyping Inconel
