Lead Research Engineer (AI)

TL;DR

Lead Research Engineer (Python/AI): Developing and scaling high-performance ML solutions and data processing pipelines with an accent on productionizing research concepts and NLP. Focus on building scalable systems for large online delivery environments and mentoring engineering teams.

Location: Remote (Must be based in the US or Canada)

Company

hirify.global is a technology company focused on evolving software methodology and scaling high-performance ML systems.

What you will do

• Provide technical leadership to develop methodology and evolve the technology stack by establishing standards and best practices.
• Build and deliver high-quality, scalable ML solutions and large-scale data processing pipelines for research and production.
• Collaborate with research scientists to evaluate, prototype, and productionize research concepts.
• Design, build, scale, and maintain Machine Learning systems in production environments.
• Mentor engineers and elevate the team's overall technical practices.
• Partner with cross-functional and remote teams in an Agile environment to deliver timely solutions.

Requirements

• Bachelor of Science in Computer Science or a related field.
• At least 8 years of software engineering experience, ideally within ML and NLP.
• Deep understanding of Python software development stacks and ecosystems.
• Experience leading technical workstreams within a software engineering organization.
• Proficiency in cloud-native applications (AWS or Azure) and a strong foundation in DevOps and automation.
• Must be based in the US or Canada.

Nice to have

• Familiarity with the Python data science stack (Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch).
• Experience with other programming languages such as Java, TypeScript, or JavaScript.
• Knowledge of probabilistic models and mathematical concepts underlying machine learning.
• Understanding of ModelOps and MLOps principles.
• Exposure to NLP tasks like Named Entity Recognition (NER), Information Extraction, and Information Retrieval.

Culture & Benefits

• Collaborative and team-oriented environment that values diverse ideas.
• Fast-paced, dynamic work culture with a strong sense of urgency.
• Empowerment to try new approaches, learn emerging technologies, and contribute innovative ideas.
• End-to-end accountability for project deliveries.