Gatik AI Inc.
Senior/Staff Machine Learning Engineer
Gatik AI Inc., Mountain View, California, us, 94039
Who we areGatik, the leader in autonomous middle mile logistics, delivers goods safely and efficiently using its fleet of light & medium-duty trucks. The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries. Gatik’s Class 3-7 autonomous box trucks are commercially deployed in multiple markets including Texas, Arkansas, and Ontario, Canada.
About the roleWe're looking for high-energy, creative, and collaborative candidates who want to work in a fast-paced, execution-oriented team. As a Machine Learning Engineer, you will be responsible for creating and preparing datasets, training and evaluating models, and optimizing algorithms for real-time performance. You will handle large volumes of sensor data, conduct extensive simulation testing, and implement continuous improvement techniques. Additionally, you will monitor and update deployed systems, ensure compliance with safety standards, and collaborate with software developers, hardware engineers, and other stakeholders to integrate machine learning models seamlessly. This role is onsite 5 days a week at our Mountain View, CA office!
What you'll do
Create and prepare datasets to ensure they are suitable for training ML models.
Train machine learning models on large-scale datasets and evaluate their performance using appropriate metrics.
Use cross-validation and other validation techniques to ensure model robustness and generalization.
Optimize machine learning algorithms for real-time performance and low-latency processing.
Implement efficient computational methods to handle large volumes of sensor data.
Conduct extensive testing in simulation environments to validate models across various scenarios.
Implement online learning techniques to continuously improve models based on new data.
Monitor deployed systems and update models to handle new scenarios and edge cases.
Work closely with software developers, hardware engineers, and other stakeholders to ensure seamless integration of ML models.
Ensure all systems comply with safety standards and regulatory requirements.
What we're looking for
Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.
5+ years of industry experience in machine learning, with a focus on perception and prediction systems for autonomous vehicles.
Strong programming skills in Python and proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch).
Extensive experience with sensor data processing and sensor fusion techniques.
Proven track record of developing and deploying ML models in production environments.
Deep understanding of algorithms for object detection, recognition, and behavior prediction.
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Strong communication skills and the ability to present complex technical concepts to diverse audiences.
Bonus
Experience with autonomous vehicle platforms and simulation tools.
Knowledge of C++ and real-time systems development.
Publications or patents in relevant fields of machine learning and autonomous driving.
More about GatikWith headquarters in Mountain View, CA and offices in Canada, Texas and Arkansas, Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at
Gatik
for more company information and
Jobs @ Gatik
for more open roles.
Taking care of our teamAt Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
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About the roleWe're looking for high-energy, creative, and collaborative candidates who want to work in a fast-paced, execution-oriented team. As a Machine Learning Engineer, you will be responsible for creating and preparing datasets, training and evaluating models, and optimizing algorithms for real-time performance. You will handle large volumes of sensor data, conduct extensive simulation testing, and implement continuous improvement techniques. Additionally, you will monitor and update deployed systems, ensure compliance with safety standards, and collaborate with software developers, hardware engineers, and other stakeholders to integrate machine learning models seamlessly. This role is onsite 5 days a week at our Mountain View, CA office!
What you'll do
Create and prepare datasets to ensure they are suitable for training ML models.
Train machine learning models on large-scale datasets and evaluate their performance using appropriate metrics.
Use cross-validation and other validation techniques to ensure model robustness and generalization.
Optimize machine learning algorithms for real-time performance and low-latency processing.
Implement efficient computational methods to handle large volumes of sensor data.
Conduct extensive testing in simulation environments to validate models across various scenarios.
Implement online learning techniques to continuously improve models based on new data.
Monitor deployed systems and update models to handle new scenarios and edge cases.
Work closely with software developers, hardware engineers, and other stakeholders to ensure seamless integration of ML models.
Ensure all systems comply with safety standards and regulatory requirements.
What we're looking for
Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.
5+ years of industry experience in machine learning, with a focus on perception and prediction systems for autonomous vehicles.
Strong programming skills in Python and proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch).
Extensive experience with sensor data processing and sensor fusion techniques.
Proven track record of developing and deploying ML models in production environments.
Deep understanding of algorithms for object detection, recognition, and behavior prediction.
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Strong communication skills and the ability to present complex technical concepts to diverse audiences.
Bonus
Experience with autonomous vehicle platforms and simulation tools.
Knowledge of C++ and real-time systems development.
Publications or patents in relevant fields of machine learning and autonomous driving.
More about GatikWith headquarters in Mountain View, CA and offices in Canada, Texas and Arkansas, Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at
Gatik
for more company information and
Jobs @ Gatik
for more open roles.
Taking care of our teamAt Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
#J-18808-Ljbffr