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Machine Learning Engineer
1 month ago
Lovelace AI is a pioneering company that applies cutting-edge AI and systems engineering to enhance human safety in high-risk situations. Our mission is to harness the power of AI to mitigate threats and protect civilians worldwide.
We believe that by leveraging advanced machine learning models and algorithms, we can significantly improve the safety and security of our communities. Our team is dedicated to developing innovative solutions that address complex challenges in national security and emergency management.
Job Summary:
As a Machine Learning Engineer at Lovelace AI, you will play a critical role in designing, developing, and deploying machine learning models and algorithms to address complex challenges in national security and emergency management.
You will work closely with our team of experts to develop and implement comprehensive ML solutions that meet the highest security and compliance standards.
Key Responsibilities:
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 our team to leverage every tool in the toolbox, including algorithm design, GPU-based optimization, and high-performance methodologies such as JAX, XLA, and PyTorch.
Model Training and Evaluation:
Train, fine-tune, and evaluate machine learning models using appropriate frameworks and tools. Ensure that adaptive systems have hygienic and effective ML Ops.
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.
Qualifications:
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.
Preferred Skills:
Experience with deep learning and neural networks.
Knowledge of geospatial data analysis and GIS tools.
Understanding of ethical and legal considerations in AI and ML.
Benefits:
Lovelace AI offers competitive compensation packages, comprehensive benefits, and a supportive and inclusive work environment where your skills and expertise can make a significant impact on the safety and security of our communities.
We provide a platform for our team members to grow and develop their skills, with opportunities for professional development and career advancement.
Lovelace's Founding Team:
Our founding team includes experienced leaders in AI, national security, and emergency management. Andrew Moore, Brendan Dunne, and Toby Smith bring a wealth of knowledge and expertise to our company, and we are excited to have them on board.
