Senior Research Engineer
Posted Today by Atika Tech
Negotiable
Undetermined
Remote
Remote
Summary: The Senior Research Engineer role focuses on advancing large language models through the design of innovative methods and tools, integrating AI capabilities into analytics platforms. The position requires a blend of research and engineering skills to conduct experiments, optimize training infrastructure, and implement solutions that align with product strategies. Candidates should have extensive experience in machine learning and software engineering, with a strong emphasis on delivering impactful projects. This is a remote position with a duration of 6 months, transitioning to a potential full-time role.
Key Responsibilities:
- Design methods, tools, and infrastructure for large language models.
- Define research goals based on engineering excellence and product constraints.
- Conduct scientific experiments to understand model behavior and capabilities.
- Drive end-to-end research contributions including experimental design and code development.
- Implement solutions across model architecture, training algorithms, and data processing.
- Explore novel research directions for post-training of foundation LLMs.
- Optimize and scale training infrastructure for efficiency and reliability.
- Adapt machine learning methods to modern parallel computing environments.
Key Skills:
- 5+ years of experience in machine learning and software engineering.
- 4+ years of research experience in machine learning, deep learning, and NLP.
- Strong coding skills in Python and experience with deep learning frameworks.
- Solid experience with deep learning models including DNNs and LLMs.
- Familiarity with large-scale ML systems and AI/ML integration.
- Experience with embeddings and information retrieval techniques.
- Strong problem-solving and communication skills.
- Master's degree or PhD in a relevant technical field.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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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