OPENMIND
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Find out if this opportunity is a good fit by reading all of the information that follows below. We are seeking a highly motivated Machine Learning Engineer with expertise in object detection —especially using frameworks like YOLO
to join our growing AI team. This role will focus on developing, training, and deploying object detection models in production environments. The ideal candidate has experience working with large-scale image datasets, deploying ML models using AWS infrastructure , and is eager to build end-to-end ML pipelines from experimentation to deployment. Key Responsibilities: Develop and fine-tune object detection models using
YOLO
or similar frameworks (e.g.,
Faster R-CNN ,
SSD ). Build scalable training pipelines and manage datasets for detection tasks. Optimize model performance (accuracy, inference speed) for edge or cloud deployment. Design and implement end-to-end ML workflows, from data preprocessing to deployment. Containerize models and deploy them using AWS services (SageMaker, Lambda, ECS, etc.). Collaborate with product, data, and backend teams to integrate models into production systems. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Solid experience with object detection frameworks ( YOLOv5 ,
YOLOv8 , etc.). Proficiency in Python and ML libraries such as PyTorch or TensorFlow. Experience training custom models on real-world datasets. Familiarity with AWS services (S3, EC2, SageMaker, Lambda, etc.). Understanding of Docker, REST APIs, and CI/CD pipelines. Nice to Have: Experience deploying models to edge devices or mobile environments. Knowledge of model optimization techniques (ONNX, TensorRT, quantization). Familiarity with MLOps practices and tools like MLflow, Kubeflow, or Airflow. Experience with ROS2 Benefits at OpenMind: Extensive 401(k) plan with company matching Medical, dental, vision and life insurance Unlimited PTO Flexible with visa sponsorship Seniority level
Seniority levelEntry level Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at OpenMind by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. San Francisco, CA $130,000.00-$230,000.00 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTubeMachine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$180,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$160,000.00 5 months ago Research Engineer - Machine Learning (ML) San Francisco, CA $140,000.00-$215,000.00 3 weeks ago San Francisco, CA $140,000.00-$160,000.00 4 months ago San Francisco, CA $130,000.00-$238,000.00 2 weeks ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $150,000.00-$250,000.00 3 weeks ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Mateo, CA $140,000.00-$210,000.00 3 weeks ago San Francisco, CA $140,000.00-$290,000.00 7 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 3 weeks ago San Francisco, CA $190,000.00-$355,000.00 2 weeks ago San Francisco, CA $160,000.00-$180,000.00 3 days ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level San Francisco, CA $175,000.00-$225,000.00 7 months ago Machine Learning Engineer, Identity Product San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $140,000.00-$200,000.00 4 days ago San Mateo, CA $195,000.00-$255,000.00 7 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Find out if this opportunity is a good fit by reading all of the information that follows below. We are seeking a highly motivated Machine Learning Engineer with expertise in object detection —especially using frameworks like YOLO
to join our growing AI team. This role will focus on developing, training, and deploying object detection models in production environments. The ideal candidate has experience working with large-scale image datasets, deploying ML models using AWS infrastructure , and is eager to build end-to-end ML pipelines from experimentation to deployment. Key Responsibilities: Develop and fine-tune object detection models using
YOLO
or similar frameworks (e.g.,
Faster R-CNN ,
SSD ). Build scalable training pipelines and manage datasets for detection tasks. Optimize model performance (accuracy, inference speed) for edge or cloud deployment. Design and implement end-to-end ML workflows, from data preprocessing to deployment. Containerize models and deploy them using AWS services (SageMaker, Lambda, ECS, etc.). Collaborate with product, data, and backend teams to integrate models into production systems. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Solid experience with object detection frameworks ( YOLOv5 ,
YOLOv8 , etc.). Proficiency in Python and ML libraries such as PyTorch or TensorFlow. Experience training custom models on real-world datasets. Familiarity with AWS services (S3, EC2, SageMaker, Lambda, etc.). Understanding of Docker, REST APIs, and CI/CD pipelines. Nice to Have: Experience deploying models to edge devices or mobile environments. Knowledge of model optimization techniques (ONNX, TensorRT, quantization). Familiarity with MLOps practices and tools like MLflow, Kubeflow, or Airflow. Experience with ROS2 Benefits at OpenMind: Extensive 401(k) plan with company matching Medical, dental, vision and life insurance Unlimited PTO Flexible with visa sponsorship Seniority level
Seniority levelEntry level Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at OpenMind by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. San Francisco, CA $130,000.00-$230,000.00 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTubeMachine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$180,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $140,000.00-$160,000.00 5 months ago Research Engineer - Machine Learning (ML) San Francisco, CA $140,000.00-$215,000.00 3 weeks ago San Francisco, CA $140,000.00-$160,000.00 4 months ago San Francisco, CA $130,000.00-$238,000.00 2 weeks ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $150,000.00-$250,000.00 3 weeks ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Mateo, CA $140,000.00-$210,000.00 3 weeks ago San Francisco, CA $140,000.00-$290,000.00 7 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 3 weeks ago San Francisco, CA $190,000.00-$355,000.00 2 weeks ago San Francisco, CA $160,000.00-$180,000.00 3 days ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level San Francisco, CA $175,000.00-$225,000.00 7 months ago Machine Learning Engineer, Identity Product San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $140,000.00-$200,000.00 4 days ago San Mateo, CA $195,000.00-$255,000.00 7 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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