Published: Wed, 06 Nov 2024 04:50:46 GMT
Job Title: Senior Machine Learning Engineer, Applied Machine Learning
Company: Red Cell Partners
Location: Remote, USA
Company Overview:
Established in 2023 by Joe Laws and Grant Verstandig, Trase Systems is revolutionizing AI by making it simple and risk-free. Our AI platform empowers enterprise leaders to leverage the full potential of AI without the associated complexity and risks. We specialize in providing end-to-end solutions for deploying, managing, and optimizing AI in the healthcare, cyber, and national security industries.
Job Description:
Join our team at Trase Systems as a Senior Machine Learning Engineer and play a crucial role in developing and refining our machine learning systems. We are looking for someone with a passion for architecting and optimizing ML models to drive innovation and deliver impactful results. In this role, you will focus on model training, pipeline development, and fine-tuning large language models (LLMs) to ensure peak performance. Your contributions will directly impact the continuous improvement of our ML models, aligning them with evolving business needs.
Responsibilities:
– Architect, build, and optimize ML systems, delivering high-impact results for real-world applications.
– Develop and implement efficient, scalable pipelines for training and retraining ML models to meet business needs.
– Continuously fine-tune LLMs to align with enterprise requirements, enhancing accuracy, relevance, and performance.
– Implement and refine feedback loops to improve the effectiveness of ML models over time.
– Collaborate with product and business teams to understand and translate requirements into ML solutions that provide tangible outcomes.
– Stay current with the latest advancements in ML research and best practices, applying insights to our ML infrastructure.
– Guide and mentor junior team members, fostering a culture of continuous improvement and technical growth.
– Clearly and effectively communicate ML methodologies, results, and insights to non-technical stakeholders.
Requirements:
– 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 for specific use cases and optimizing them for targeted outcomes.
– Skilled in ML frameworks such as TensorFlow, PyTorch, or similar tools used in ML model development.
– Proficient in Python with a focus on writing efficient, clean, and maintainable code for ML applications.
– Ability to distill complex ML concepts for both technical and non-technical audiences.
– Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field.
– A track record of delivering and implementing machine learning solutions that have successfully driven value in real-world applications.
Benefits:
– 100% employer-paid comprehensive health care, including medical, dental, and vision for you and your family.
– Paid parental leave for 14 weeks at employees’ normal pay.
– Unlimited PTO with management approval, observing all Federal holidays.
– 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: We value diversity and strive to create an inclusive work environment where all individuals can thrive. You will 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. Apply link
