Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
About the role
- Senior Staff Machine Learning Engineer developing and integrating ML systems for GEICO’s Claims organization. Collaborating on AI-powered capabilities to enhance decision-making and user experience.
Responsibilities
- Own ML platform architecture: data/feature pipelines, experiment tracking, model registries, serving layers, offline/online evaluation, and observability
- Define standards for reliability, performance, cost efficiency, security, governance, and model risk management across ML services
- Lead design and implementation of models across classical ML and deep learning
- Build scalable training and inference pipelines; establish CI/CD for ML
- Implement monitoring for data quality, drift, fairness, latency, reliability, and cost
- Mentor engineers and junior tech leads; codify best practices
Requirements
- Bachelor’s degree or above in Computer Science, Engineering, Statistics, or related field
- 10+ years of professional software development experience using at least two general-purpose languages (e.g., Java, C++, Python, C#)
- 10+ years architecting, designing, and building multi-component ML platforms leveraging open-source/cloud-agnostic components
- 6+ years managing end-to-end SDLC for ML systems
- 6+ years working with cloud providers (Azure and/or AWS) in production ML contexts
Benefits
- Market-competitive compensation
- 401(k) savings plan vested from day one with 6% match
- Performance and recognition-based incentives
- Tuition assistance
- Mental healthcare support
- Fertility and adoption assistance
- Flexibility to work from anywhere in the US for up to four weeks per year
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.