Staff Model Risk Specialist governing machine learning and GenAI applications for Upstart, an AI lending marketplace. Evaluating model risks, controls, monitoring, and regulatory governance for Upstart Bank.
About the role
- Machine Learning Engineering Intern developing innovative AI solutions for contact centers at Cresta. Collaborating with top researchers and engineers in AI to unlock customer experience potential.
Responsibilities
- Design, develop, and deploy Cresta’s KA solutions and proprietary models.
- Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios.
- Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into Cresta’s customer solutions.
- Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases.
- Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s KA.
- Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems.
Requirements
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow).
- Strong understanding of machine learning fundamentals and generative modeling.
- Ability to design and analyze experiments involving large-scale datasets.
- Work authorization in the country of employment at the time of hire.
Benefits
- Lunch can be expensed (up to $25) while working in the office.
- PTO: 4 days
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Student machine learning software engineer building end - to - end AI solutions at RBC Borealis, Royal Bank of Canada’s AI and data innovation group. Collaborating with researchers and business teams on algorithms, distributed data processing, and production - ready software.
Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s consumer businesses. Developing pricing and other commercial automation using experimentation, uncertainty, and policy learning.
Senior Deep Learning Engineer developing player - tracking, evaluation, and forecasting models for SumerSports’ football intelligence platform. Driving research threads into production for NFL and NCAA teams.
LP
Machine_Learning_Specialist / Data Scientist / AI Developer
LinkedIn Recruiter Post
We are seeking a Machine Learning Specialist / Data Scientist / AI Developer with 6+ years of experience in Python, R, SQL, and machine learning.
Machine Learning Specialist developing AI, models, and analytical data products for the Government of Alberta. Applying machine learning to improve public services and policymaking.
Machine Learning Engineer developing production AI models and scalable MLOps platforms for Wave, which helps small businesses thrive. Collaborating on financial - risk applications, governance, observability, and reliable deployment.
Senior Geospatial ML Engineer building satellite - imagery vegetation intelligence for a climate - tech company. Improving production models and pipelines to help utilities prevent wildfires and outages.
Senior Machine Learning Engineer building scalable recommender systems for Thomson Reuters’ legal, tax, compliance, government, and media platforms. Implementing secure ML products and infrastructure.
ML Engineer scaling Torc Robotics’ simulation platform for autonomous trucks. Embedding with Autonomy teams to operationalize replay, recompute, metrics, visualization, and model integrations.