Senior Research Engineer

Position: Senior Research Engineer
Location: Remote
Duration: 6 months C2H

What You'll Contribute
Design methods, tools, and infrastructure to advance the state of the art in large language models, integrating applied AI capabilities seamlessly into Client's analytics and decision management platform.
Define research goals informed by practical engineering excellence and real-world product constraints.
Design, analyze, and execute scientific experiments to deepen the understanding of large language model behavior, capabilities, and limitations.
Drive end-to-end research contributions including experimental design, writing reusable and well-tested code, running evaluations, and organizing and communicating results.
Conduct product-driven research and implement solutions across model architecture, training algorithms, data processing pipelines, and optimizer development.
Explore novel research directions for post-training of foundation LLMs and align findings with client's product strategy and roadmap.
Optimize and scale training infrastructure to improve efficiency, throughput, and reliability.
Adapt and apply machine learning methods to modern parallel computing environments, including distributed clusters, multicore SMP systems, and GPU accelerators.

What We're Seeking
Experience: 5+ years of combined experience in machine learning and software engineering, with a demonstrated track record of delivering complex, large-scale projects from research to production.
Research Experience: 4+ years of focused research in machine learning, deep learning, and natural language processing, with a history of developing and deploying models at scale with measurable business impact.
Technical Proficiency: Strong coding skills in Python and hands-on experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow.
Machine Learning Expertise: Solid experience with deep learning models including DNNs and LLMs across training, data processing, and evaluation workflows.
AI/ML Systems: Familiarity with architectural patterns of large-scale ML systems and experience integrating AI/ML solutions with Large Language Models in production or near-production environments.
Retrieval & Embeddings: Experience with embeddings and information retrieval techniques; familiarity with Retrieval-Augmented Generation (RAG) architectures and vector databases (e.g., Pinecone, Weaviate, pgvector) is strongly preferred.
Communication & Leadership: Strong problem-solving and communication skills, with the ability to mentor peers, influence research direction, and collaborate effectively across engineering, product, and data science teams.
Education: Master's degree or PhD in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. A PhD or publication record is a plus.

Thanks & Regards,

Bhupender Singh

XL Impex Inc dba

Atika Technologies

5 Independence Way, Suite 300,

Princeton, NJ 08540

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