Job Location: Mountain View, CA
Title: Machine Learning Engineer
Job ID: 1148507
Location: Mountain View, CA
Pay Rate: Open
Additional Benefits: Health, Dental, Vision, 401(k), company paid holidays and more!
Type of hire: Contract
Position Summary
As a Machine Learning Engineer, you will contribute to state-of-the-art machine learning infrastructure and relevant software (e.g., supervised learning, reinforcement learning, data management, and evaluation at unparalleled scale). You will implement cutting-edge deep learning models accelerating model training performance for intelligent mobility system applications and tackling open problems together with researchers. Last but not least, you will deploy your algorithms and models in our test vehicles platform.
Position Responsibilities
- Implement machine learning/ deep learning models (supervised learning, reinforcement learning) for the following tasks: 2D/3D object detection, semantic segmentation, depth estimation, traffic (time or speed) prediction and driving behavioral learning etc.
- Train and evaluate the developed machine learning model from large set of images/videos, build end-to-end training, testing, and evaluation pipelines.
- Manipulate high-volume, high-dimensionality, structured data from the vehicles for training and testing deep networks.
- Produce high quality tested code that enables large scale research and can be transferred to physical vehicles deployed in the real world.
- Stay up to date on the state-of-the-art in Deep Learning ideas and software, in collaboration with our Researchers.
- Coding, proof-of-concept (POC) and demo deep learning applications with our test vehicle platform.
- Work in a multidisciplinary team and collaborate with other teams across the research lab.
Position Requirements
- Master’s Degree in Computer Science/Electrical Engineering, Math, or related field.
- Masters with at least 1-2 years of experience; Strong software engineering practices in Python with machine learning experience in a production setting.
- Strong Machine Learning background with deep understanding of different types of machine learning algorithms (e.g., CNN, RNN, LSTM, Transformer, and Reinforcement Learning). Experience of training deep-learning models in an end-to-end fashion.
- Project experience working with Pytorch, Tensorflow or other modern deep learning frameworks.
- Computer Vision expertise.
- Proficient in Python and Linux is a minimum. Additional knowledge of C++ / CUDA is a plus, experience with AWS as well.
- Clear grasp on basic Linear Algebra, Optimization, Statistics, and Algorithms.
- Familiar with Python development co-system including opencv, numpy, scipy, pandas, sklearn etc and comfortable with development in Linux and Windows.
- Familiar with containers.
- Excellent verbal and written communication skills.
- (Optimal) Implemented state-of-the-art models from research papers (share paper/repos if you can).
- (Optimal) Experience with Deep Reinforcement Learning, Multi-agent distributed reinforcement learning.
- (Optional) Experience with computer vision and large-scale distributed training.
- (Optimal) Publication in robotics/Client/CV conference.
GTA Questions
- Please describe your experience as it relates to this job description and position requirements.
- What is the highest level of education you have completed?
- Are you currently working? If yes, why are you currently looking to make a move?
- Based on the job description, what is your desired compensation for this role? Please do not put negotiable.
- When would you be available to interview and start this position, if selected?
- If you currently do not live near the job location and the commute is too far for you, are you willing and able to relocate at your own expense?
- Are you able to work in the U.S. without need for a Visa, other than a TN Visa for Canadian citizens?
- For submittal purposes, please provide the day and month in which you were born (We do not need the year).
- For submittal purposes, please provide the last 4 digits of your SSN.
Please note that if you are a current GTA employee or have been placed by GTA at one of our clients, we will not be able to entertain moving you. However, we are hopeful that you may know someone else who is qualified and as such you would still be eligible for our generous referral bonus program detailed below.
Referral Bonus Program
If you are able to refer a person we do hire, we can offer up to $250 for contractors after they are on the job for 90 days and up to $500 for direct hires after they are on the job between 90 days to 180 days, depending on customer payment terms.
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