62 applicants

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Company

Red Cell Partners · 7 hours ago

Senior ML Researcher, Applied Machine Learning

United States

Full-time

Remote

Senior Level

$175K/yr - $225K/yr

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Responsibilities

Lead ML Research and Development: Drive the research, development, and optimization of machine learning models, focusing on solving real-world business problems through advanced ML techniques.

Architect Novel Training and Fine-Tuning Methodologies: Design, implement, and iterate on advanced training protocols, fine-tuning processes, and optimization strategies, particularly for Language Models (LLMs).

Evaluate Model Performance and Innovation: Develop and refine techniques for assessing and enhancing the effectiveness of ML models, focusing on accuracy, scalability, and adaptability to dynamic enterprise requirements.

Feedback System Design for Continuous Learning: Create systems that incorporate user and system feedback to iteratively improve model performance over time.

Cross-Functional Collaboration: Work closely with product teams and domain experts to translate business needs into research questions and actionable ML strategies.

Stay Current on ML Advancements: Actively monitor the latest research in ML and NLP, integrating cutting-edge practices and methodologies into our development pipeline.

Mentor and Guide Team Members: Provide technical guidance to junior researchers, fostering a culture of continuous learning, experimentation, and research-driven development.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

ML Model TrainingLanguage Model Fine-TuningML FrameworksPythonImpactful ML SolutionsNLP FrameworksModel Architecture DesignResearch CommunicationContinuous ImprovementAdvanced Training Protocols

Required

Expertise in ML Model Training and Optimization: Proven experience with ML research, including designing and evaluating novel training methodologies, model architectures, and optimization techniques.

Deep Knowledge of Language Model Fine-Tuning: Demonstrated proficiency in customizing and fine-tuning language models to meet specific use cases, with experience in models such as GPT, BERT, or similar frameworks.

Proficiency in ML Frameworks: Strong understanding of machine learning and NLP frameworks like TensorFlow, PyTorch, or similar, with the ability to design and implement custom model architectures.

Programming Skills: Proficiency in Python with an emphasis on writing efficient, maintainable, and scalable code.

Research Communication Skills: Ability to present complex technical concepts to both technical and non-technical stakeholders, highlighting the business impact of ML innovations.

Educational Background: A Master’s or PhD in Computer Science, Machine Learning, or a related field, with a focus on ML research.

Impactful ML Solution Delivery: Proven track record of delivering ML solutions that have made significant real-world impact, ideally within an enterprise or production setting.

Benefits

100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.

Paid maternity and paternity for 14 weeks at employees' normal pay.

Unlimited PTO, with management approval with all Federal holidays observed.

Opportunities for professional development and continued learning.

Occasional travel to our offices in Washington D.C or alternative locations to collaborate with your team in person.

Optional 401K and FSA available.

Ability to work fully remote within the United States.

Company

Red Cell Partners

Red Cell Partners uniquely positioned at the creative intersection of investing and national security.

Founded in 2020

Washington, District of Columbia, USA

51-200 employees

https://www.redcellpartners.com

H1B Sponsorship

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