Machine Learning Engineer
7 days ago
We are seeking an experienced Machine Learning Engineer to join our dynamic team at Acceler8 Talent. This role involves creating and deploying innovative algorithms and rigorously testing them in both simulated environments and real-world scenarios with our advanced robotic platforms.
About the CompanyAcceler8 Talent is a recognized leader in the tech industry, known for pioneering advancements in AI and robotics. Our team comprises seasoned engineers, researchers, and scientists dedicated to addressing fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning.
Key Responsibilities- Collaborate with cross-functional teams to design, develop, and deploy machine learning models and algorithms.
- Implement scalable software solutions to integrate these models into production systems.
- Optimize and fine-tune machine learning algorithms.
- Conduct thorough testing and validation of models.
- Stay updated on the latest developments in machine learning.
- Provide technical guidance and mentorship to junior team members.
- Master's degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
- 3+ years of experience in various ML methods, including specialization in areas like dexterous manipulation, computer vision, or natural language processing.
- 4+ years of experience in software engineering with a focus on production-grade applications.
- Proficiency in ROS2, parallel computing (CUDA, OpenMP, SSE), and Atlassian tools (Jira, GitLab, Confluence).
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (Spark) is a plus.
- Strong proficiency in Python or C++.
- Excellent problem-solving and communication skills.
- Strong base salary and equity package.
- Comprehensive medical, dental, and vision coverage.
- Life insurance and wellness programs.
- Stock options and paid time off (3 weeks' vacation, paid holidays, and sick leave).
- Flexible scheduling and worksite arrangements.
- Opportunities for professional development and mentorship.
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