Match score not available

AI Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United Kingdom, New York (USA), United States

Offer summary

Qualifications:

Experience in ML or AI engineering projects, Strong software engineering skills, especially in distributed systems, Proficiency in Python and ML frameworks, Knowledge of AI safety and responsible development, Understanding of AI evaluation and benchmarking.

Key responsabilities:

Contribute to AI projects from concept to production
Design systems using large language models
Develop solutions for multi-modal data handling
Create robust AI evaluation frameworks
Keep up with advancements in AI and language models

Normal Computing Information Technology & Services Scaleup https://normalcomputing.ai/

11 - 50 Employees

See more Normal Computing offers

Job description

Your Role in Our Mission:

We are looking for an AI Engineer to help us take systems that understand large technical documents and turn them into code. This is a job of excitement and exploration, requiring AI expertise and software engineering skills to build complex systems. Knowledge of semiconductors is a plus.

At Normal Computing, you will contribute to cutting-edge machine learning applications across various aspects of our business, working on solutions from the early stages of research and development to production deployment for our customers.

Responsibilities:

Contribute to AI projects from concept to production deployment
Design and build systems using large language models to process complex technical documents
Develop solutions for multi-modal data handling (PDFs, logs, tables)
Solve challenging AI and software engineering problems
Work with other teams to integrate AI into our products
Create robust AI evaluation frameworks
Develop strategies to manage AI-specific challenges (latency, variance, errors)
Keep up with AI advancements, especially in language models and multi-modal AI

What Makes You A Great Fit:

Experience with engineering projects, ideally related to ML or AI
Strong software engineering skills, especially with distributed systems
Proficiency in Python and ML frameworks (PyTorch, Hugging Face)
Experience with prompt engineering and deploying language models
Ability to handle and preprocess large, diverse datasets
Understanding of AI safety and responsible development
Knowledge of AI evaluation and benchmarking
Clear communication of complex AI concepts

Bonus Points For:

Experience deploying AI in production environments
Cloud platform knowledge for AI deployment
Familiarity with advanced AI techniques (few-shot learning, meta-learning)
Open-source AI contributions or relevant publications
Ability to balance AI innovation with production-ready systems
Adaptability in a fast-paced, evolving AI landscape

Equal Employment Opportunity Statement

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.

Accessibility Accommodations

Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accomodations@normalcomputing.ai.

Privacy Notice

By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.