Machine Learning Developer
3 weeks ago
Lovelace AI is a cutting-edge technology company that applies state-of-the-art AI and systems engineering to address complex challenges in national security and emergency management.
Estimated Salary: $160,000 - $220,000 per year
Job Description
- We are seeking an experienced Machine Learning Engineer to join our team. As a key member of our development team, you will play a pivotal role in developing and deploying machine learning models and algorithms to address complex challenges in national security and emergency management.
- Algorithm Development: Design, develop, and optimize machine learning algorithms and models for various applications, such as threat detection, image recognition, natural language processing, and predictive analytics.
- Efficiency and real-time operations: Work with colleagues to use every tool in the toolboxes of algorithm design, GPU-based optimization, and highly performance methodologies such as JAX, XLA, PyTorch.
- Model Training and Evaluation: Train, fine-tune, and evaluate machine learning models using appropriate frameworks and tools.
- Deployment and Integration: Implement ML models into operational systems, ensuring seamless integration with existing infrastructure and applications.
- Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, domain experts, and government agencies, to develop and implement comprehensive ML solutions.
- Security and Compliance: Ensure that all ML solutions meet the highest security and compliance standards, especially when dealing with sensitive data and national security concerns.
- Documentation: Create and maintain detailed documentation of machine learning models, code, and processes to facilitate knowledge sharing and future enhancements.
- Testing and Validation: Conduct rigorous testing and validation of ML systems to ensure robustness, reliability, and accuracy under various conditions.
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field (Master's or Ph.D. preferred).
- Proven experience in machine learning model development, training, and deployment.
- Proficiency in software development in familiar ML environments and a willingness to contribute to some new next-gen platforms.
- Enthusiasm for analytic methods from fields such as probability theory, statistics, linear algebra, and knowledge graphs.
- Familiarity with cloud computing platforms (e.g., AWS, Azure) and distributed computing frameworks.
- Excellent problem-solving and analytical skills.
- Effective communication skills and the ability to work collaboratively in a team environment.
- Must be a US Citizen.
- Competitive compensation package.
- Comprehensive benefits.
- A supportive and inclusive work environment where your skills and expertise can make a significant impact on the safety and security of our communities.
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