Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries
Requirements
- Master’s degree or higher in Computer Science, Data Science or related technical field, and 3+ years of relevant industrial / academic work experience (or equivalent)
- Demonstrated ability to drive the development side of R&D efforts
- Experience building/refining/innovating deep learning models for Natural Language Processing, Computer Vision, or Speech Recognition
- Experience with one or more of deep learning toolkits (PyTorch/HF preferred)
- Strong foundation in Computer Science with high competency in data structures, algorithms, and software design (expertise in one or more of: Python, C++, or Java)
- Experience building and improving LLM applications for processing semi-structured and structured data such as NL2SQL and graph-RAG
- Strong problem solving skills, with a hands on, get-it-done attitude
- Team player with ability to work in a close-knit, fast-paced startup environment
- Experience with practical applications in NLP, esp. with transformers/LLMs (a plus)
- Publications in top-tier conferences (NeurIPS, ICLR, ACL, EMNLP, CVPR etc.) (a plus)
- Experience working in cloud-based development environments such as AWS, Azure, or Google (a plus)
- Experience with micro-service creation (a plus)
Responsibilities
- Help solve fundamental problems in machine learning, natural language understanding and human computer interaction with applicability to practical commercial use cases
- Help with experimentation and model development, and design new features as well as improve existing ones in our system
- Partner with the AI Engineering team to transition mature technology to our production environment
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the Machine Learning Engineer position?
The salary range is $160,000 - $175,000 a year.
Is this a remote position?
Yes, Pryon is a remote first organization.
What skills and experience are required for this role?
Requirements include a Master’s degree or higher in Computer Science or related field with 3+ years of experience, expertise in building deep learning models for NLP/CV/Speech, proficiency with PyTorch/HF, strong CS fundamentals in data structures/algorithms/software design (Python/C++/Java), and experience with LLM applications like NL2SQL and graph-RAG.
What benefits are offered to full-time employees?
Benefits include 100% company-paid Health/Dental/Vision for you and dependents, Life Insurance, Short-term and Long-term Disability, 401k, and Unlimited PTO.
What kind of work environment can I expect at Pryon?
Pryon offers a close-knit, fast-paced startup environment where you'll work as a team player with strong problem-solving skills and a hands-on attitude.
Pryon
AI platform for enhancing information access
About Pryon
Pryon provides an AI-powered platform that helps organizations reduce "knowledge friction," which is the time employees waste searching for information across various formats and locations. The platform uses technologies like Computer Vision, Optical Character Recognition, and Large Language Models to read and understand content, creating a "Knowledge Fabric" that serves as a reliable source of information. This allows employees to quickly access the data they need, improving productivity and operational efficiency. Pryon operates on a subscription-based model, charging clients based on the number of users and data processed, which ensures a steady revenue stream. The goal of Pryon is to streamline information access within organizations, enabling employees to focus on problem-solving rather than searching for information.
Raleigh, North CarolinaHeadquarters
2017Year Founded
$132.8MTotal Funding
SERIES_BCompany Stage
Enterprise Software, AI & Machine LearningIndustries
51-200Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off
Risks
Rapid AI advancements could render Pryon's technology outdated without continuous innovation.
Reliance on Oracle Cloud Infrastructure poses risks if service agreements change.
Complex enterprise content challenges the accuracy of Pryon's Retrieval-Augmented Generation solutions.
Differentiation
Pryon transforms unstructured data into machine-readable formats with its Ingestion Engine.
The company offers a no-code AI platform, minimizing operational disruptions for clients.
Pryon's Retrieval Engine provides secure, scalable RAG solutions for complex enterprise content.
Upsides
Pryon's partnership with Carahsoft opens new revenue streams in the public sector.
Inclusion in the 2024 CB Insights AI 100 list boosts Pryon's visibility and investor appeal.
Oracle Cloud Infrastructure selection is expected to double Pryon's AI research productivity.
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