Senior ML Researcher - Applied Machine Learning

November 2, 2024

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Trase

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Trase is an AI Agent Platform designed to simplify and accelerate AI adoption for businesses. Trase helps business leaders overcome the complexity of building and deploying AI capabilities by providing integrated, adaptable, and custom-built solutions tailored to meet specific business needs. The platform is particularly suited for enterprise business users across industries such as healthcare, life sciences, and energy. It features a multi-agent system with deep integrations into data sources, allowing companies to adopt cutting-edge AI technologies without the need for specialized in-house talent. Trase focuses on transforming complex business workflows and enhancing productivity through its AI agents, all while ensuring deployment and security are managed seamlessly.

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🏢 Enterprise

📋 Description

• Red Cell Partners is an incubation firm building and investing in scalable technology companies. • Trase platform is designed to improve ROI and reduce operating expenses in healthcare. • Seeking a Senior ML Researcher to optimize machine learning models and methodologies. • Role involves leading ML research and collaborating with product teams on actionable strategies.

🎯 Requirements

• 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.