About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Scientific & QA.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

This role supports the AI/ML Lab for a confidential client working with large-scale labor-market data. You will implement, evaluate, and productionize NLP and ML solutions that convert unstructured job and profile text into structured labor-market intelligence.

• Develop and improve NLP models for classification, information extraction, normalization, entity linking, and semantic matching
• Train and evaluate transformer- and embedding-based models (e.g., BERT, DeBERTa, ModernBERT, Sentence Transformers)
• Experiment with LLMs and foundation-model approaches, including prompt engineering and fine-tuning methods
• Perform model evaluation, error analysis, and data-driven investigations to uncover improvement opportunities
• Optimize models for production constraints (accuracy, latency, throughput, cost)
• Build and maintain reproducible training and evaluation pipelines
• Work with multilingual labor-market data and support cross-lingual modeling where needed
• Collaborate with senior scientists, ML engineers, and data engineers to move models into production
• Stay current with research and tooling in NLP, LLMs, embeddings, and applied machine learning

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Qualifications

• Bachelor’s or master’s degree in computer science, machine learning, NLP, data science, or a related field
• Strong foundation in machine learning, natural language processing, and deep learning
• Practical experience with Python and ML frameworks such as PyTorch, Hugging Face, or scikit-learn
• Familiarity with transformer architectures, embeddings, classification, information extraction, or entity normalization
• Experience training and evaluating ML models and performing error analysis
• Strong analytical, problem-solving, and collaboration skills; ability to learn quickly in research and production environments

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Preferred Skills & Experience

• Internship, academic, or professional experience building NLP or ML models in production or research settings
• Familiarity with LLM fine-tuning, LoRA/PEFT techniques, or prompt engineering
• Exposure to multilingual NLP, semantic search/retrieval, or entity linking
• Knowledge of model optimization techniques such as quantization or distillation
• Experience with AWS, SageMaker, Docker, MLflow, or similar ML tooling

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Location & Work Authorization

• Location: This role is based on-site in University, ID and requires five days per week in the office. We will consider only candidates who currently live locally or are willing to relocate.
• Work Authorization: To respect your time, this position does not offer employment visa sponsorship now or in the future. Please confirm you are authorized to work in the United States without current or future employer sponsorship before applying.

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Compensation

• Estimated salary: $76,482 per year (estimated)

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About the Opportunity

This position offers hands-on experience building and deploying state-of-the-art NLP systems on large, multilingual labor-market datasets. You’ll work closely with senior researchers and engineers at a confidential client focused on labor-market insights and analytics.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.