A pioneering AI company in Los Angeles is looking for a Machine Learning Engineer to innovate and deploy advanced ML models. The role involves collaborating with cross-functional teams to tackle real-world problems and optimize data pipelines. Ideal candidates should have a Master's or PhD in Computer Science, experience with deep learning, and proficiency in frameworks like PyTorch or Tensorflow. This role offers a salary between $266K and $555K, along with equity options.
Qualifications
Demonstrated experience in deep learning and transformers models.
Strong foundation in data structures, algorithms, and software engineering principles.
Experience with search relevance, ads ranking or LLMs is a plus.
Responsibilities
Design and deploy advanced machine learning models that solve real-world problems.
Collaborate with researchers and engineers to deliver AI-powered solutions.
Implement scalable data pipelines and optimize models for performance.
Skills
Deep learning
Transformers models
Proficiency in frameworks like PyTorch
Proficiency in frameworks like Tensorflow
Problem-solving skills
Analytical skills
Collaboration skills
Ability to work in loosely defined environments
Education
Master's/PhD in Computer Science or related field
Job description
A pioneering AI company in Los Angeles is looking for a Machine Learning Engineer to innovate and deploy advanced ML models. The role involves collaborating with cross-functional teams to tackle real-world problems and optimize data pipelines. Ideal candidates should have a Master's or PhD in Computer Science, experience with deep learning, and proficiency in frameworks like PyTorch or Tensorflow. This role offers a salary between $266K and $555K, along with equity options.