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Senior ML Researcher, Applied Machine Learning

Trase

McLean (VA)

On-site

USD 175,000 - 225,000

Full time

5 days ago

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Job summary

Join a leading company as a Senior ML Researcher focused on applied machine learning. This role offers the chance to innovate in ML model development, providing opportunities for professional growth and significant impact in AI. Ideal candidates will possess strong backgrounds in model optimization and language models, promoting a research-driven environment.

Benefits

Career advancement opportunities

Comprehensive health care coverage

Paid parental leave for 14 weeks

Unlimited PTO with management approval

Opportunities for professional development

Qualifications

Proven experience in ML research and model training.
Deep knowledge of language model fine-tuning.
Strong proficiency in machine learning frameworks.

Responsibilities

Drive research, development and optimization of ML models.
Design and implement advanced training protocols.
Mentor and guide junior researchers.

Skills

Machine Learning Research

Model Optimization

Fine-tuning Language Models

Python Programming

Technical Communication

Education

Master's or PhD in Computer Science or Machine Learning

Tools

TensorFlow

PyTorch

Senior ML Researcher, Applied Machine Learning (Security Clearance)

Join to apply for the Senior ML Researcher, Applied Machine Learning (Security Clearance) role at Trase

Senior ML Researcher, Applied Machine Learning (Security Clearance)

1 week ago Be among the first 25 applicants

Join to apply for the Senior ML Researcher, Applied Machine Learning (Security Clearance) role at Trase

About Us:

Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase 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 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

Location: McLean, VA

Are you passionate about advancing machine learning through cutting-edge research? Do you thrive in optimizing and fine-tuning machine learning models, especially language models, to address complex business challenges? If so, we have an exciting opportunity for you as a Senior ML Researcher focused on applied ML.

In this role, you will spearhead innovations in machine learning model architecture, fine-tuning, and continuous improvement. This role emphasizes the exploration and development of research-based ML methodologies to optimize model performance and ensure our systems are both robust and adaptable to enterprise needs.

Responsibilities:

Lead ML Research and Development: Drive the research, development, and optimization of machine learning models, focusing on solving real-world business problems through advanced ML techniques.
Architect Novel Training and Fine-Tuning Methodologies: Design, implement, and iterate on advanced training protocols, fine-tuning processes, and optimization strategies, particularly for Language Models (LLMs).
Evaluate Model Performance and Innovation: Develop and refine techniques for assessing and enhancing the effectiveness of ML models, focusing on accuracy, scalability, and adaptability to dynamic enterprise requirements.
Feedback System Design for Continuous Learning: Create systems that incorporate user and system feedback to iteratively improve model performance over time.
Cross-Functional Collaboration: Work closely with product teams and domain experts to translate business needs into research questions and actionable ML strategies.
Stay Current on ML Advancements: Actively monitor the latest research in ML and NLP, integrating cutting-edge practices and methodologies into our development pipeline.
Mentor and Guide Team Members: Provide technical guidance to junior researchers, fostering a culture of continuous learning, experimentation, and research-driven development.

Requirements:

Expertise in ML Model Training and Optimization: Proven experience with ML research, including designing and evaluating novel training methodologies, model architectures, and optimization techniques.
Deep Knowledge of Language Model Fine-Tuning: Demonstrated proficiency in customizing and fine-tuning language models to meet specific use cases, with experience in models such as GPT, BERT, or similar frameworks.
Proficiency in ML Frameworks: Strong understanding of machine learning and NLP frameworks like TensorFlow, PyTorch, or similar, with the ability to design and implement custom model architectures.
Programming Skills: Proficiency in Python with an emphasis on writing efficient, maintainable, and scalable code.
Research Communication Skills: Ability to present complex technical concepts to both technical and non-technical stakeholders, highlighting the business impact of ML innovations.
Educational Background: A Master's or PhD in Computer Science, Machine Learning, or a related field, with a focus on ML research.
Impactful ML Solution Delivery: Proven track record of delivering ML solutions that have made significant real-world impact, ideally within an enterprise or production setting.
Active Secret or Top Secret Clearance
Located in the greater DMV area near Washington D.C. or our office in McLean, VA

Benefits

Career track opportunity with potential for rapid advancement with strong performance as the firm grows
100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
Paid maternity and paternity for 14 weeks at employees' normal pay.
Unlimited PTO, with management approval.
Opportunities for professional development and continued learning.
Optional 401K, FSA, and equity incentives available.

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
Other
Industries
Software Development

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