Senior ML Engineer, Applied Machine Learning

Red Cell Partners; United States; Remote; USD 175,000 - 225,000; Full time

Job summary

A leading company in technology incubation seeks a Senior ML Engineer focused on innovating and optimizing machine learning systems. You will develop ML models, design training pipelines, and collaborate with cross-functional teams to meet business goals. Ideal candidates have robust experience in ML systems, programming, and strong communication skills.

Benefits

Competitive salary and performance-based bonuses

Comprehensive health and wellness benefits

Flexible work hours

Opportunities for professional development

Collaborative and inclusive work environment

Qualifications

• Proven experience in developing and deploying ML systems in production environments.
• Strong background in managing end-to-end training pipelines.
• Experience in optimizing for specific use cases.

Responsibilities

• Architect and deploy robust ML models for real-world applications.
• Design and implement training pipelines for ML models.
• Continuously fine-tune large language models to enhance performance.

Skills

Programming Skills

ML Systems Expertise

LLM Fine-Tuning

Clear Communicator

Education

Bachelor’s or Master’s degree in Machine Learning, Computer Science, or Data Engineering

Tools

TensorFlow

PyTorch

Job description

Senior ML Engineer, Applied Machine Learning

Join to apply for the Senior ML Engineer, Applied Machine Learning role at Red Cell Partners

Senior ML Engineer, Applied Machine Learning

Join to apply for the Senior ML Engineer, Applied Machine Learning role at Red Cell Partners

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.

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: Fully Remote, USA

About Trase

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.

About The Role

Are you passionate about developing and refining machine learning systems? Do you thrive in architecting and optimizing ML models that drive innovation and results? If so, we have an exciting opportunity for you as a Senior Machine Learning Engineer at Trase Systems.

In this role, you will be instrumental in advancing our ML systems, focusing on model training, pipeline development, and the fine-tuning of large language models (LLMs) to ensure peak performance. As part of our team, you will contribute directly to the continuous improvement of our ML models, working to maximize impact and align with evolving business needs.

Responsibilities:

• Architect, Build, and Optimize ML Systems: Develop and deploy robust ML models that deliver high-impact results for real-world applications.
• Training Pipeline Development: Design and implement efficient, scalable pipelines to train and retrain ML models, ensuring they meet business needs.
• Fine-Tuning Large Language Models (LLMs): Continuously fine-tune LLMs to align with specific enterprise requirements, enhancing accuracy, relevance, and performance.
• Feedback Systems Design: Implement and refine feedback loops to iteratively improve the effectiveness of ML models over time.
• Cross-Functional Collaboration: Work closely with product and business teams to understand and translate requirements into ML solutions that provide tangible outcomes.
• Stay Current with ML Advancements: Keep up with the latest in ML research and best practices, applying insights to our ML infrastructure to ensure it remains at the cutting edge.
• Mentorship and Knowledge Sharing: Guide and mentor junior team members, fostering a culture of continuous improvement and technical growth.
• Technical Communication: Clearly and effectively communicate ML methodologies, results, and insights to non-technical stakeholders.
  
  

Requirements:

• ML Systems Expertise: Proven experience in developing, optimizing, and deploying ML systems in production environments.
• Model Training and Pipeline Mastery: Strong background in building and managing end-to-end training pipelines for ML models.
• LLM Fine-Tuning: Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases and optimizing them for targeted outcomes.
• Framework Proficiency: Skilled in ML frameworks such as TensorFlow, PyTorch, or similar tools used in ML model development.
• Programming Skills: Proficient in Python with a focus on writing efficient, clean, and maintainable code for ML applications.
• Clear Communicator: Ability to distill complex ML concepts for both technical and non-technical audiences.
• Educational Background: Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
• Impactful ML Solutions: A track record of delivering and implementing machine learning solutions that have successfully driven value in real-world applications.
  
  

Benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits package.
• Flexible work hours.
• Opportunities for professional development and continued learning.
• Collaborative and inclusive work environment.
  
  

Some travel is required

If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk!

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

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Venture Capital and Private Equity Principals

Referrals increase your chances of interviewing at Red Cell Partners by 2x

Get notified about new Machine Learning Engineer jobs in United States.

United States $170,000.00-$720,000.00 1 week ago

United States $170,000.00-$720,000.00 1 week ago

Software Engineer - Fullstack, Multiple Locations

United States $81,900.00-$174,600.00 1 week ago

New York, NY $140,000.00-$185,000.00 5 days ago

Software Engineer (L5) - Open Connect Platform

United States $100,000.00-$720,000.00 2 days ago

New York, United States $142,600.00-$196,200.00 5 days ago

Fort Myers, FL $80,000.00-$100,000.00 7 hours ago

Orange County, CA $75,000.00-$85,000.00 14 hours ago

Software Engineer Intern/Co-op (Fall 2025)

United States $164,200.00-$229,900.00 1 week ago

United States $126,500.00-$187,400.00 5 days ago

Software Engineer L4/L5, Training Platform, Machine Learning Platform

United States $100,000.00-$720,000.00 1 week ago

Beaverton, OR $90,000.00-$180,000.00 2 days ago

Frontend Engineer Contract ($130k to $150k annualized rate)

United States $130,000.00-$150,000.00 6 days ago

Lancaster, PA $90,000.00-$180,000.00 2 days ago

Fort Worth, TX $90,000.00-$180,000.00 2 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.