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, based in Seattle, WA, offers a competitive salary range of $175,000-$225,000 and combines cutting-edge ML engineering with practical business impact.
As a Senior ML Engineer, you'll be at the forefront of developing and optimizing machine learning systems, with a particular focus on large language models (LLMs). The role involves architecting sophisticated ML pipelines, fine-tuning models for specific enterprise needs, and ensuring these solutions deliver measurable business value. You'll work with state-of-the-art ML frameworks and technologies while collaborating with cross-functional teams to translate business requirements into technical solutions.
The ideal candidate brings strong technical expertise in ML systems, demonstrated experience with model training and pipeline development, and proficiency in Python and major ML frameworks. Beyond technical skills, you'll need excellent communication abilities to explain complex concepts to various stakeholders and mentor junior team members.
This position offers an exciting opportunity to shape the future of enterprise AI implementation while working with a forward-thinking team. The company provides comprehensive benefits including competitive compensation, health coverage, flexible work arrangements, and professional development opportunities. Some travel is required every 6-8 weeks to company HQ or customer locations, making this role ideal for someone who values both stability and dynamic interaction with team members and clients.
Responsibilities For Senior ML Engineer, Applied Machine Learning
- Develop and deploy robust ML models that deliver high-impact results
- Design and implement efficient, scalable pipelines to train and retrain ML models
- Fine-tune LLMs to align with specific enterprise requirements
- Implement and refine feedback loops to improve ML models
- Work closely with product and business teams
- Keep up with the latest in ML research and best practices
- Guide and mentor junior team members
- Communicate ML methodologies, results, and insights to non-technical stakeholders
Requirements For Senior ML Engineer, Applied Machine Learning
- Proven experience in developing, optimizing, and deploying ML systems in production environments
- Strong background in building and managing end-to-end training pipelines for ML models
- Extensive knowledge and hands-on experience in fine-tuning large language models
- Skilled in ML frameworks such as TensorFlow, PyTorch
- Proficient in Python with a focus on writing efficient, clean, and maintainable code
- Clear communication skills
- Bachelor's or Master's degree in Machine Learning, Computer Science, Data Engineering, or related field
- Track record of delivering and implementing machine learning 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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