Red Cell Partners
Overview
Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. Join to apply for the
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 Partners is developing powerful tools and solutions to address our Nation’s most pressing problems.
Location : Seattle, WA
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.
Responsibilities
Architect, build, and optimize ML systems: Develop and deploy robust ML models for real-world applications.
Training pipeline development: Design and implement efficient, scalable pipelines to train and retrain ML models.
Fine-tune large language models (LLMs): Continuously fine-tune LLMs to align with enterprise requirements, improving accuracy and performance.
Feedback systems design: Implement and refine feedback loops to improve model effectiveness over time.
Cross-functional collaboration: Work with product and business teams to translate requirements into ML solutions.
Stay current with ML advancements: Apply cutting-edge ML practices to keep infrastructure up to date.
Mentorship and knowledge sharing: Guide junior team members and foster technical growth.
Technical communication: Communicate ML methodologies and results to non-technical stakeholders.
Requirements
ML systems expertise: Proven experience in developing, optimizing, and deploying ML systems in production.
Model training and pipeline mastery: Strong background in end-to-end ML training pipelines.
LLM fine-tuning: Experience in fine-tuning large language models for specific use cases.
Framework proficiency: TensorFlow, PyTorch, or similar tools.
Programming: Python proficiency for ML applications.
Clear communicator: Ability to convey complex ML concepts to diverse audiences.
Educational background: Bachelor’s or Master’s in ML, CS, Data Engineering, or related field.
Impactful ML solutions: Track record of delivering ML solutions with real-world value.
Benefits
Competitive salary and performance-based bonuses.
Comprehensive health and wellness benefits.
Flexible work hours.
Opportunities for professional development and learning.
Collaborative and inclusive work environment.
Some travel is required.
Salary Salary: $175,000-$225,000. This range represents typical compensation for this role based on experience and skills.
Equal Opportunity 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.
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Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. Join to apply for the
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 Partners is developing powerful tools and solutions to address our Nation’s most pressing problems.
Location : Seattle, WA
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.
Responsibilities
Architect, build, and optimize ML systems: Develop and deploy robust ML models for real-world applications.
Training pipeline development: Design and implement efficient, scalable pipelines to train and retrain ML models.
Fine-tune large language models (LLMs): Continuously fine-tune LLMs to align with enterprise requirements, improving accuracy and performance.
Feedback systems design: Implement and refine feedback loops to improve model effectiveness over time.
Cross-functional collaboration: Work with product and business teams to translate requirements into ML solutions.
Stay current with ML advancements: Apply cutting-edge ML practices to keep infrastructure up to date.
Mentorship and knowledge sharing: Guide junior team members and foster technical growth.
Technical communication: Communicate ML methodologies and results to non-technical stakeholders.
Requirements
ML systems expertise: Proven experience in developing, optimizing, and deploying ML systems in production.
Model training and pipeline mastery: Strong background in end-to-end ML training pipelines.
LLM fine-tuning: Experience in fine-tuning large language models for specific use cases.
Framework proficiency: TensorFlow, PyTorch, or similar tools.
Programming: Python proficiency for ML applications.
Clear communicator: Ability to convey complex ML concepts to diverse audiences.
Educational background: Bachelor’s or Master’s in ML, CS, Data Engineering, or related field.
Impactful ML solutions: Track record of delivering ML solutions with real-world value.
Benefits
Competitive salary and performance-based bonuses.
Comprehensive health and wellness benefits.
Flexible work hours.
Opportunities for professional development and learning.
Collaborative and inclusive work environment.
Some travel is required.
Salary Salary: $175,000-$225,000. This range represents typical compensation for this role based on experience and skills.
Equal Opportunity 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.
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