Remote Machine Learning Research Engineer III

Description:

• Technergetics is seeking a Machine Learning Research Engineer III to design and deploy advanced AI capabilities.
• The role involves building intelligent systems that transform unstructured documents and structured system data into actionable knowledge, connected via an evolving knowledge graph.
• Responsibilities include developing and integrating named entity recognition (NER), topic modeling, correlation algorithms, and a recommendation system to link extracted insights across domains.
• The position is full-time and offers a salary range of $90,000-$135,000 annually, depending on qualifications, education, and experience.
• Remote performance is possible, with candidates considered from across the United States, and occasional in-person meetings may be required for those in the Utica-Rome area.
• Only U.S. citizens are eligible to apply due to clearance requirements.

Requirements:

• A minimum of a Master’s degree in computer science, computer engineering, or a closely related discipline is required; a PhD is strongly preferred.
• At least two years of experience building and deploying machine learning solutions is necessary.
• Strong Python skills with experience in ML/NLP libraries such as spaCy, HuggingFace, and scikit-learn are required.
• Hands-on experience with named entity recognition (NER), topic modeling, and document classification is essential.
• Familiarity with knowledge graphs, graph databases, and entity-relation modeling is needed.
• Proven experience in building recommendation systems or content-based/personalized ranking algorithms is required.
• Hands-on experience with semantic search, vector indexing, or embedding-based LLM search architectures is necessary.
• A solid understanding of integrating ML services into larger software systems is required.

Benefits:

• The benefits package includes health, life, disability, dental, and vision insurance coverage.
• A 401(k) policy with a 3% company contribution and 3% company match is offered.
• Employees receive generous Paid Time Off, including a PTO “gift day” for their birthday, and 11 Federal Holidays per year.
• The position includes three weeks of paid maternity/paternity leave and annual technology allowances.
• Additional perks include referral bonuses, professional recognition awards, healthcare stipends, tuition/education reimbursement, and flexible daily start and stop times for most projects and positions.