Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Biotechnology, Media Generation, ResearchIndustries
Requirements
Candidates must have 5 years of experience in software engineering, optimizing machine learning model inference and training, and proficiency in Python, C/C++, and CUDA. A strong understanding of profiling GPU performance and distributed training runs is also required, along with experience in ML frameworks, optimized runtimes, or compilers. A Bachelor's degree in Computer Science, Mathematics, or a related field is necessary.
Responsibilities
The role involves improving the performance of model training and inference, leveraging a deep understanding of GPU workloads. Responsibilities include optimizing state-of-the-art AI models for video generation and building tooling to enhance the efficiency and reliability of distributed training runs on the company's HPC cluster.
Skills
Machine Learning
Python
C++
CUDA
GPU optimization
Model training
Model inference
Distributed training
HPC
Runway
Finance platform for business modeling and planning
About Runway
Runway offers a finance platform that simplifies business modeling, planning, and alignment for companies of all sizes. It operates on a subscription-based model, providing features like automated data integration, simplified financial modeling, and detailed reporting, all through a user-friendly interface. What makes Runway different is its focus on creating an enjoyable user experience and the ability to use human-readable formulas. The goal of Runway is to empower businesses to make informed financial decisions through effective collaboration.
San Francisco, CaliforniaHeadquarters
2020Year Founded
$36MTotal Funding
SERIES_ACompany Stage
Data & Analytics, Enterprise Software, Financial ServicesIndustries
51-200Employees
Benefits
Remote Work Options
Company Equity
Risks
Increased competition from Genmo's Mochi-1 model threatens Runway's market position.
Luma AI's rapid API launch indicates a highly competitive market environment.
Legal challenges may arise from Runway's partnerships and use of copyrighted materials.
Differentiation
Runway offers a user-friendly interface for financial modeling and planning.
The platform integrates data from HR, accounting, and data warehouses for comprehensive insights.
Runway's human-readable formulas simplify complex financial modeling for diverse clients.
Upsides
Increased demand for AI-driven financial modeling tools enhances Runway's market potential.
Growing interest in integrated financial platforms supports Runway's comprehensive solution.
Rising trend of user-friendly SaaS platforms aligns with Runway's design and functionality.
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