Member of Technical Staff - Machine Learning Research Engineer, Post-Training
7 Days Old
Member of Technical Staff - Machine Learning Research Engineer, Post-Training Join to apply for the Member of Technical Staff - Machine Learning Research Engineer, Post-Training role at Liquid AI
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Liquid AI, an MIT spin-off, is a foundation model company headquartered in Boston, Massachusetts. Our mission is to build capable and efficient general-purpose AI systems at every scale.
Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.
Our goal at Liquid is to build the most capable AI systems to solve problems at every scale, such that users can build, access, and control their AI solutions. This is to ensure that AI will get meaningfully, reliably and efficiently integrated at all enterprises. Long term, Liquid will create and deploy frontier-AI-powered solutions that are available to everyone.
We are seeking a Post-Training ML Researcher to join our team. This is a hands-on, technical role that will focus on refining, evaluating, and improving our foundation models for both general-purpose and specialized use cases. Your work will primarily center on enhancing model capabilities through post-training techniques and high-quality data engineering.
What You'll Actually Do
Fine-tune both general-purpose and specialized models to align with specific use-case requirements
Design post-training datasets and develop rigorous evaluation frameworks to target and quantify model improvements
Participate in post-training research discussions and collaborate with cross-functional teams to translate novel ideas into practice
What Makes You Stand Out
Hands-on experience in model fine-tuning, particularly with direct alignment and reinforcement learning techniques
Expertise in generating, curating, and evaluating high-quality post-training data to effectively target model capabilities and limitations
Strong understanding of technical challenges in post-training optimization, including hallucination mitigation, reasoning improvement, and safety guardrail enhancement
Proven ability to publish research, models, or novel techniques in post-training optimization
Experience in developing both general-purpose and specialized domain models
Successful track record of building automated pipelines for continuous model evaluation and improvement
What You'll Get
Advance the state-of-the-art in model post-training techniques
Gain experience working on cutting-edge AI systems that push the boundaries of LFM performance
Become an expert in the entire post-training lifecycle from data generation to evaluation
Seniority level Seniority levelNot Applicable
Employment type Employment typeFull-time
Job function Job functionEngineering and Information Technology
IndustriesSoftware Development
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- Location:
- Boston, MA
- Salary:
- $250
- Category:
- Engineering
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