Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.
We’re searching for a Staff Machine Learning Engineer - Online Maps to join Aurora’s Maps ML team. The Maps ML team is responsible for providing map data to the Aurora driver in the face of real-time world changes.
Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.
In this role, you will
- Lead and collaborate with other members of the Online Maps autonomy team to improve / ideate and implement perception algorithms that power the Aurora Driver.
- Research and develop state-of-the-art deep learning / machine learning models to improve our perception solutions under challenging and diverse scenarios.
- Develop novel verification and validation technologies and techniques.
- Partner with engineers from online maps, simulation, and safety to ensure that online mapping technology is ready for operation with no vehicle operator.
- Build infrastructure and tests that support critical go / no-go decisions for deploying the Aurora Driver.
- Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver.
Required Qualifications
- Excellent software engineering skills in Python and / or C++.
- Extensive experience in any deep learning framework, such as PyTorch, JAX, TensorFlow.
- Extensive experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.
g., as evidenced by industry experience, publication record).
Desirable Qualifications
- Relevant industry experience (prior work on self-driving vehicles, autonomy, and / or robotics projects).
- Contributions to open source project(s).
- Strong track record in any field related to machine learning, as evidenced by top-tier publications.
- Examples of relevant fields and conferences : computer vision (e.g., CVPR, ECCV, ICCV, IJCV), machine learning (e.g., ICML, NeurIPS, JMLR, PAMI), robotics (e.
g., RSS, IJRR), graphics (e.g., SIGGRAPH, TOG).
The base salary range for this position is $189,000-$302,000 per year. Aurora’s pay ranges are determined by role, level, and location.
Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions.
These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
J-18808-Ljbffr
Remote working / work at home options are available for this role.
AIML - Staff Machine Learning Engineer, Search Query Understanding (SII)
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies.Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.The full external job ...
Applied Machine Learning Engineer - Localization
Collaborating with translation, Localization quality, project management and engineering teams to develop and implement machine learning solutions - Developing and maintaining features, frameworks and tools to help facilitate the software translation process. As an Applied ML Engineer in the Softwar...
Machine Learning Engineer
We are seeking passionate Machine Learning Engineers who are eager to solve complex problems and transform theoretical concepts into practical, scalable solutions. As a Machine Learning Engineer at Ema, you will:. Develop and deploy cutting-edge machine learning models for NLP, retrieval, ranking, a...
Machine Learning Engineer
We’re looking for a driven machine learning engineer comfortable working on large integrated machine learning systems. If our mission of revolutionizing robotics through machine learning resonates with you, get in touch and let’s talk about how we can create the next generation of AI-powered capable...
Machine Learning Engineer, TikTok Content Recommendation (Ecosystem & Cold-Start)
Here, you can drive deeper into the improvement and optimization of machine learning/deep learning algorithms, including but not limited to Mathematics, CV/NLP technology, multi-task learning, multi-modal technology, meta-learning, reinforcement learning, causal inference, metric learning, graph neu...
Applied Machine Learning Engineer
Nexusflow is currently adding Applied ML Engineersto our team. Our Applied ML Engineers power our LLMs as well as Nexusflow’s methodologies for last-mile quality tooling for copilots and agents. Research or industrial engineering experience in at least one of the following aspects in the context of ...
Machine Learning Engineer-TikTok Product Foundation Experience
Apply state-of-the-art machine learning and deep learning technologies to analyze the app experience of TikTok users and develop algorithms to provide the best experiences. Familiar with common learning-based algorithms, such as classification, clustering, DNN, embedding, multi-task learning, and re...
AIML - Machine Learning Engineer, Machine Learning Platform & Infrastructure
Are you someone who can write high-quality, well-tested code and collaborate cross-functionally with partner Hardware, Software, Machine Learning, and Research teams across the company? Do you have any experience building Machine Learning compilers/runtimes/kernels/optimization tools? If so, come jo...
Machine Learning Engineer
Strong computer vision, machine learning, image and video-processing background, with hands-on experience in building real systems. ...
Staff Machine Learning Engineer, Creative Optimization
Be responsible for the development of cutting edge applied machine learning products within high-performance, scalable ML systems. Develop and optimize the Machine Learning models that leverage user engagement signals to enhance ad creative visual and content. Experience building production machine ...