
Machine Learning Engineer - Automotive Domain
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with 4+ years of experience in AI/ML, specifically in the automotive domain. It offers a 3-month contract at $70-$75/hour, hybrid remote in Los Altos, CA, requiring expertise in PyTorch and Python.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
600
-
ποΈ - Date discovered
September 14, 2025
π - Project duration
3 to 6 months
-
ποΈ - Location type
Hybrid
-
π - Contract type
1099 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
Los Altos, CA 94022
-
π§ - Skills detailed
#Python #Deployment #PyTorch #Cloud #Unit Testing #AI (Artificial Intelligence) #Documentation #ML (Machine Learning) #Data Pipeline
Role description
Job Title: Machine Learning Engineer
Duration: 3-Month Contract (Potential to extend or convert to FTE)Location: Los Altos, CA 94022-1003Work Mode: 90% Remote β Hybrid Schedule Required
Work Schedule Options
Option 1: 4-day workweek (10-hour days) with Fridays off.
Option 2: Standard workweek (4 days remote, minimum 1 day onsite).
Note:
Candidate must be local to Los Altos, CA.
All consultants are provided 10 PTO days per calendar year.
Job Description:
We are seeking a highly skilled Machine Learning Engineer with strong expertise in AI/ML systems and automotive applications. This role involves building and optimizing large-scale foundation models and supporting advanced AI research and development.
Responsibilities:
Design, train, and deploy machine learning models with a focus on foundation models (VLMs, text-to-video, etc.).
Leverage distributed training and advanced optimization methods including quantization, mixed precision, model parallelism, data parallelism, or FSDP.
Apply state-of-the-art techniques in behavior learning, natural language, and/or computer vision.
Work with data pipelines, model serving, cloud training, and dataset management.
Collaborate on rapid prototyping and transition to production-ready implementations.
Follow best practices in software engineering: unit testing, documentation, code review, continuous integration, and dependency management.
Qualifications:
4+ years of professional ML engineering experience in an AI/ML-focused environment.
Hands-on expertise with PyTorch.
Automotive domain experience is mandatory.
Strong proficiency in Python and modern development workflows.
Practical experience with large-scale training, optimization, and deployment of ML models.
#MachineLearning #MLEngineer #ArtificialIntelligence #AIJobs #PyTorch #DeepLearning #FoundationModels #ComputerVision #NaturalLanguageProcessing #AutomotiveTech #ContractJobs #LosAltosJobs #HybridJobs #TechCareers
Job Type: Contract
Pay: $70.00 - $75.00 per hour
Work Location: Hybrid remote in Los Altos, CA 94022
Job Title: Machine Learning Engineer
Duration: 3-Month Contract (Potential to extend or convert to FTE)Location: Los Altos, CA 94022-1003Work Mode: 90% Remote β Hybrid Schedule Required
Work Schedule Options
Option 1: 4-day workweek (10-hour days) with Fridays off.
Option 2: Standard workweek (4 days remote, minimum 1 day onsite).
Note:
Candidate must be local to Los Altos, CA.
All consultants are provided 10 PTO days per calendar year.
Job Description:
We are seeking a highly skilled Machine Learning Engineer with strong expertise in AI/ML systems and automotive applications. This role involves building and optimizing large-scale foundation models and supporting advanced AI research and development.
Responsibilities:
Design, train, and deploy machine learning models with a focus on foundation models (VLMs, text-to-video, etc.).
Leverage distributed training and advanced optimization methods including quantization, mixed precision, model parallelism, data parallelism, or FSDP.
Apply state-of-the-art techniques in behavior learning, natural language, and/or computer vision.
Work with data pipelines, model serving, cloud training, and dataset management.
Collaborate on rapid prototyping and transition to production-ready implementations.
Follow best practices in software engineering: unit testing, documentation, code review, continuous integration, and dependency management.
Qualifications:
4+ years of professional ML engineering experience in an AI/ML-focused environment.
Hands-on expertise with PyTorch.
Automotive domain experience is mandatory.
Strong proficiency in Python and modern development workflows.
Practical experience with large-scale training, optimization, and deployment of ML models.
#MachineLearning #MLEngineer #ArtificialIntelligence #AIJobs #PyTorch #DeepLearning #FoundationModels #ComputerVision #NaturalLanguageProcessing #AutomotiveTech #ContractJobs #LosAltosJobs #HybridJobs #TechCareers
Job Type: Contract
Pay: $70.00 - $75.00 per hour
Work Location: Hybrid remote in Los Altos, CA 94022