Lovelace AI · 3 months ago
Machine Learning Engineer
Pittsburgh, PA
Full-time
Onsite
Mid LevelLovelace AI is dedicated to applying advanced AI and systems engineering to enhance human safety in high-risk situations. As a Machine Learning Engineer, you will develop and deploy machine learning models to tackle complex challenges in national security and emergency management, collaborating with cross-functional teams to implement effective ML solutions.
Artificial Intelligence (AI)Machine LearningSoftware
No H1B
U.S. Citizen Only
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 colleagues to use every tool in the toolboxes of: (1) algorithm design (2) GPU-based optimization and (3) 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. Make sure 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
Qualification
Required
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
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
Competitive compensation packages
Comprehensive benefits
Company
Lovelace AI
Lovelace AI was born from the desire to apply state of the art AI and systems engineering to the question of human safety, especially in dangerous conditions such as conflict, disaster response, anti-terrorism and deterrence against AIs designed by adversaries to harm civilians.
Founded in 2023
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$16.2MKey Investors
RRE Ventures
2025-05-06Seed· $16.2M
Leadership Team
Andrew Moore
Chief Executive Officer
Recent News
thesaasnews.com
2025-05-07
Company data provided by crunchbase