Machine Learning Research Engineer – New Grad
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Job role insights
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Date posted
September 30, 2024
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Closing date
November 29, 2024
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Offered salary
€70,000 - €120,000/year
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Experience
0 Years
Description
Machine Learning Research Engineer - New Grad
Job Description:
- Join our Machine Learning team where your primary focus will be on developing innovative machine learning solutions that support our mission to advance artificial intelligence technology. You will engage in a dynamic blend of applied machine learning and cutting-edge research, particularly in the realms of Generative AI, large language models (LLMs), post-training methodologies, reinforcement learning from human feedback, safety evaluations, and scalable alignment protocols. This role will allow you to collaborate with various leading research teams, solving complex challenges that arise across a diverse spectrum of machine learning applications. You will be instrumental in building a sophisticated hybrid human-machine system that optimizes ML pipelines for numerous industry-leading clients. By utilizing our advanced machine learning models, you will contribute significantly to Scale's growth and product development strategies, which currently process billions of tasks monthly.
IT Languages:
- Python
- Deep Learning Frameworks
As a Machine Learning Research Engineer, you will be tasked with various responsibilities that include but are not limited to the following::
- Research and develop machine learning solutions that enhance human collaboration in the loop.;; Create and refine systems that facilitate the rapid and accurate generation of high-quality ground truth data.;; Explore and implement cutting-edge research on data and post-training techniques to improve the performance of LLMs for our clientele.;; Benchmark existing public large language models and customize them for specific internal needs.;; Utilize state-of-the-art models from both internal and community sources to address real-world problems faced by our clients.;; Assess and enhance currently deployed models by identifying areas for improvement, conducting retraining, and performing hyperparameter optimization before deployment.;; Collaborate with product and research teams to pinpoint potential enhancements to existing product offerings and to support new product initiatives.;; Work extensively with massive datasets to develop both general and specialized models for various products.
Spoken Languages:
- English
Skillset:
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Computer Vision
- Data Analysis
Soft Skills:
- Team Collaboration
- Problem Solving
- Adaptability
- Critical Thinking
- Effective Communication
Qualifications:
- PhD in Machine Learning, Computer Science, Deep Learning, Artificial Intelligence, Electronics Engineering
- Experience with large language models
- Strong communication skills, both written and verbal
Years of Experience:
- 0
Location:
- United States
Job Benefits:
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous paid time off
- Commuter stipend
Working Conditions:
- Full Time
Employment Type:
- Permanent Contract
Company Culture:
- We foster an inclusive and equitable workplace where diversity is celebrated. We believe in empowering our employees to bring their whole selves to work and are dedicated to providing reasonable accommodations for those with disabilities. Our team is at the forefront of transforming industries through AI, and we encourage continuous learning and growth.
Opportunities For Advancement:
- Potential for leadership roles in future projects, Opportunities to publish research findings in top-tier journals, Access to a network of industry experts and leaders
Visa Sponsorship:
- Available
Interested in this job?
30 days left to apply