Machine Learning Engineer 3
TrueCar, Inc. seeks a Machine Learning Engineer 3 in Santa Monica, CA 90401.
Job Duties:
Design and deploy machine learning models into production, ensuring they meet performance, latency, memory, and throughput requirements.
Write and implement high-quality code. Build and implement machine learning models. Identify issues and differences in data distribution that could potentially affect model performance.
Troubleshoot and solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
Collaborate with stakeholders to fuse ideas from business issues to machine learning solutions.
Create models that drive real value for consumers and deal partners.
Stay up to date with developments in machine learning technology and proactively share best practices.
Full-time telecommuting permitted from anywhere in the U.S.
Minimum Requirements:
Master’s degree, or foreign equivalent, in Computer Science, Data Science, or a closely related field plus 2 years of experience in the job offered or a related occupation.
Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Data Science, or a closely related field plus 5 years of progressively responsible experience in the job offered or a related occupation.
Special Skill Requirements:
Python (2 years)
Machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn (2 years)
Deep learning and training neural networks (2 years)
AWS SageMaker (2 years)
Chain-of-Thought Prompt Engineering (2 years)
Experience with Langchain or similar Agentic Framework Library (2 years)
Experience with AI Detectors (2 years)
Language translation and content production using LLMs (large language models) (2years)
EOE, including disability/vets.
Base Salary: $184,558.00-195,000.00 per annum.
40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
Must be legally authorized to work in the U.S. without sponsorship.
TrueCar does not accept unsolicited agency submissions.
If you are based in California, we encourage you to read this important information for California residents linked here.
Job Duties:
Design and deploy machine learning models into production, ensuring they meet performance, latency, memory, and throughput requirements.
Write and implement high-quality code. Build and implement machine learning models. Identify issues and differences in data distribution that could potentially affect model performance.
Troubleshoot and solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
Collaborate with stakeholders to fuse ideas from business issues to machine learning solutions.
Create models that drive real value for consumers and deal partners.
Stay up to date with developments in machine learning technology and proactively share best practices.
Full-time telecommuting permitted from anywhere in the U.S.
Minimum Requirements:
Master’s degree, or foreign equivalent, in Computer Science, Data Science, or a closely related field plus 2 years of experience in the job offered or a related occupation.
Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Data Science, or a closely related field plus 5 years of progressively responsible experience in the job offered or a related occupation.
Special Skill Requirements:
Python (2 years)
Machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn (2 years)
Deep learning and training neural networks (2 years)
AWS SageMaker (2 years)
Chain-of-Thought Prompt Engineering (2 years)
Experience with Langchain or similar Agentic Framework Library (2 years)
Experience with AI Detectors (2 years)
Language translation and content production using LLMs (large language models) (2years)
EOE, including disability/vets.
Base Salary: $184,558.00-195,000.00 per annum.
40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
Must be legally authorized to work in the U.S. without sponsorship.
TrueCar does not accept unsolicited agency submissions.
If you are based in California, we encourage you to read this important information for California residents linked here.