About Us

Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems. 

Location: Remote, USA

Company Overview:

Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings.

Job Description:

Are you passionate about driving innovation through machine learning? Do you thrive in building and optimizing ML systems? If so, we have an exciting opportunity for you as a data engineer at a stealth healthcare incubation.

As a Data Engineer specializing in Applied Machine Learning, you will be at the forefront of driving the development and optimization of our ML systems. You will play a crucial role in training ML models, building training pipelines, fine-tuning Language Models (LLMs), and designing feedback systems to continuously improve their performance. If you're a forward-thinking, technically adept individual with a passion for machine learning, this role is for you.

Responsibilities:

• Participate in architecting, building, and optimizing ML systems to deliver high-quality, real-world results.
• Design and implement robust training pipelines for machine learning models, ensuring efficiency and scalability.
• Fine-tune Language Models (LLMs) to meet specific business needs and optimize their performance for various applications.
• Develop and implement feedback mechanisms to continuously improve the accuracy and effectiveness of LLMs.
• Collaborate with cross-functional teams to understand business requirements and translate them into actionable ML solutions.
• Stay up-to-date with the latest advancements in machine learning and implement best practices to enhance our ML infrastructure.
• Coach and mentor junior data engineers, fostering a culture of continuous learning and growth within the team.
• Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.

Requirements:

• Proven experience with ML system development and optimization.
• Demonstrated expertise in training ML models and building robust training pipelines.
• Extensive knowledge of fine-tuning Language Models (LLMs) to achieve desired outcomes.
• Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Proficiency in programming languages like Python or Go, and the ability to write efficient, clean, and maintainable code.
• Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
• A Bachelor's or Master's degree in Computer Science, Machine Learning, Data Engineering, or a related field.
• A track record of delivering impactful machine learning solutions that have been successfully deployed in real-world applications.

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. 

Salary Range: $175,000-$225,000. This represents the typical salary range for this position based on experience, skills, and other factors.

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We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.