Machine Learning Engineer

Valence Agency - New York, NY

Full-time - Entry Level

New York, NY

Fabricated Metal Product Manufacturing

About the position

As a founding Applied AI Engineer at Valence, you will lead the development of innovative AI-driven leadership coaching solutions. This role is crucial in merging generative AI technology with practical business applications, aiming to transform workplace development and leadership training. You will be responsible for creating and deploying advanced AI models that provide personalized coaching, ensuring high performance and reliability for enterprise clients.

Responsibilities

• Architect and develop enterprise-grade conversational AI solutions for leadership coaching.
• Develop, design, and implement improvements in user experience in conversational interactions leveraging LLMs.
• Evaluate and improve existing conversational models across dimensions of effectiveness, scalability, and efficiency.
• Implement, test, and deploy LLM-powered coaching agents that understand complex tasks and provide accurate responses.
• Integrate and manage diverse data sources to enhance the knowledge of AI coaching models.
• Work with the product team to study user behavior and prioritize product developments.
• Experiment at a high velocity to optimize user experience.
• Write, review, and deploy code across back and front end as needed.
• Streamline data science processes to support rapid iteration and quality improvement.
• Support other science and software development as required.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience.
• 3+ years of professional experience in software engineering, AI/ML development.
• Practical and theoretical knowledge of conversational systems, NLP, and Information Retrieval.
• Strong software engineering skills with a track record of developing data-driven machine learning systems.
• Proficiency in Python and relevant deep learning frameworks (e.g., PyTorch, Tensorflow, JAX).
• Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) and open systems (e.g., Docker, Kubernetes).
• Experience with Data Science tools and processes (e.g., NumPy, scikit-learn, Pandas, PySpark).
• Familiarity with ML lifecycle tools like MLflow, Weights & Biases.
• Hands-on experience building Generative AI-powered applications, including Large Language Models.
• Strong analytical and problem-solving skills.
• Ability to communicate complex ideas effectively.
• Exposure to early-stage startups, preferably B2B SaaS.

Nice-to-haves

• Master's or Ph.D. in Computer Science, ML, Data Science, or a related field.
• Experience in early-stage startup environments.

Benefits

• Ownership of projects and strategic priorities regardless of seniority.
• Strong ties to the executive team and a culture of transparency.
• Options from day one, allowing for ownership track.
• Competitive salary and equity packages.
• Comprehensive health coverage (medical, dental, and vision) from day 1.
• Provision of necessary tools and equipment for success.
• 401k optionality for US-based employees.
• Generous PTO, company-wide R&R shutdowns, and paid leave for parents.
• A WFH stipend, phone stipend, and support for working in preferred spaces.