Senior ML Engineer, Applied Machine Learning
Description For Senior ML Engineer, Applied Machine Learning
Red Cell Partners, an innovative incubation firm, is seeking a Senior ML Engineer for their Trase Systems division, which focuses on making AI implementation uncomplicated for enterprises. This role offers an exciting opportunity to work at the forefront of AI technology, specifically focusing on developing and optimizing machine learning systems and fine-tuning large language models.
The position is fully remote within the USA, offering a competitive salary range of $175,000-$225,000, along with comprehensive benefits including performance-based bonuses and health coverage. The role requires occasional travel every 6-8 weeks to company HQ or customer locations.
As a Senior ML Engineer, you'll be responsible for architecting and implementing robust ML systems, developing scalable training pipelines, and fine-tuning LLMs for specific enterprise needs. The role combines technical expertise with leadership opportunities, including mentoring junior team members and communicating complex ML concepts to various stakeholders.
The ideal candidate should have extensive experience in production ML systems, strong programming skills particularly in Python, and proficiency with major ML frameworks. A background in Computer Science, Machine Learning, or related field is required, along with a proven track record of delivering impactful ML solutions.
Trase Systems, co-founded in 2023, is positioned at the cutting edge of enterprise AI implementation, focusing on bridging the "last mile" of AI adoption. The company offers a unique opportunity to work on meaningful projects that drive innovation while maintaining a balance between technical excellence and practical business applications.
The work environment emphasizes collaboration, continuous learning, and professional growth, with flexible work arrangements and a strong focus on work-life balance. This role is perfect for someone who wants to make a significant impact in the AI field while working with a team dedicated to solving complex enterprise challenges.
Responsibilities For Senior ML Engineer, Applied Machine Learning
- Architect, build, and optimize ML systems for real-world applications
- Design and implement efficient, scalable training pipelines
- Fine-tune Large Language Models (LLMs) for enterprise requirements
- Implement and refine feedback loops to improve ML models
- Work with product and business teams to translate requirements into ML solutions
- Stay current with ML research and best practices
- Mentor junior team members
- Communicate ML methodologies and results to stakeholders
Requirements For Senior ML Engineer, Applied Machine Learning
- Proven experience in developing ML systems in production environments
- Strong background in building end-to-end training pipelines
- Extensive experience in fine-tuning large language models
- Skilled in ML frameworks like TensorFlow, PyTorch
- Proficient in Python
- Strong communication skills
- Bachelor's or Master's degree in Machine Learning, Computer Science, Data Engineering, or related field
- Track record of delivering impactful ML solutions
Benefits For Senior ML Engineer, Applied Machine Learning
- 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
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