Tandem

3 months ago

Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Build and deploy production AI systems using LLMs and modern ML to automate complex workflows across insurance coverage, affordability programs, and fulfillment. Own end-to-end projects—definition through launch—while driving measurable impact on user growth, operational efficiency, and revenue. Work across the product surface area on AI augmentation, document classification and extraction, reference-based search, process prediction, and multimodal bot experiences, evaluating open-source vs. proprietary approaches along the way.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Scope and spearhead AI augmentation and automation projects across the product surface area, including classification, data extraction/summarization, content generation, search/Q&A, and process prediction.
•Stay current on emerging AI methods and guide model/technique selection, including open-source vs. proprietary and custom fine-tuning approaches.
•Establish research strategies with rigorous experimentation and evaluation focused on accuracy, consistency, interpretability, and real-world impact.
•Develop novel algorithms and techniques for NLP, data extraction, and autonomous reasoning, including few-shot learning, agentic reasoning, and multimodal interaction.
•Decipher and automate complex, branching, path-dependent workflows for insurance coverage, affordability programs, and fulfillment.

Pay and Benefits

Salary: USD 170,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceVisionDentalPaid LeaveParental Leave401kFsaCommuter BenefitsDashpass

Key Requirements

•Strong programming skills and general Computer Science knowledge.
•Research background in ML/NLP demonstrated by publications in top-tier conferences or significant open-source contributions.
•Experience solving complex ML problems (e.g., data-efficient learning, reasoning agents, multi-step workflows) and deploying solutions in production.
•Deep understanding of modern ML methods, including transformer architectures, attention mechanisms, reinforcement learning, and multimodal models, with proficiency in PyTorch, TensorFlow, or JAX.
•Strong written and verbal communication and a track record of moving quickly to deliver on goals.

Experience:AILLMMachine learningNLPOpen source

Skills:CommunicationCross-functional collaborationAutonomyOwnershipSpeed

Tech Stack:LLMsMLNLPTransformer architecturesAttention mechanismsReinforcement learningMultimodal modelsPyTorchTensorFlowJAXOpen-source modelsProprietary modelsCustom fine-tuningFew-shot learningAgentic reasoningMulti-modal interactionRPAScrapingState machineDocument classification

Company Brief

Tandem

Builds a virtual office platform that helps remote teams connect, collaborate, and communicate in real time with presence, audio rooms, and workspace tools designed to recreate an in-person office experience online.

Industry: Enterprise Software

Website

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Tandem

3 months ago

Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Scope and spearhead AI augmentation and automation projects across the product surface area, including classification, data extraction/summarization, content generation, search/Q&A, and process prediction.
•Stay current on emerging AI methods and guide model/technique selection, including open-source vs. proprietary and custom fine-tuning approaches.
•Establish research strategies with rigorous experimentation and evaluation focused on accuracy, consistency, interpretability, and real-world impact.
•Develop novel algorithms and techniques for NLP, data extraction, and autonomous reasoning, including few-shot learning, agentic reasoning, and multimodal interaction.
•Decipher and automate complex, branching, path-dependent workflows for insurance coverage, affordability programs, and fulfillment.

Pay and Benefits

Salary: USD 170,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceVisionDentalPaid LeaveParental Leave401kFsaCommuter BenefitsDashpass

Key Requirements

•Strong programming skills and general Computer Science knowledge.
•Research background in ML/NLP demonstrated by publications in top-tier conferences or significant open-source contributions.
•Experience solving complex ML problems (e.g., data-efficient learning, reasoning agents, multi-step workflows) and deploying solutions in production.
•Deep understanding of modern ML methods, including transformer architectures, attention mechanisms, reinforcement learning, and multimodal models, with proficiency in PyTorch, TensorFlow, or JAX.
•Strong written and verbal communication and a track record of moving quickly to deliver on goals.

Experience:AILLMMachine learningNLPOpen source

Skills:CommunicationCross-functional collaborationAutonomyOwnershipSpeed

Company Brief

Tandem

Industry: Enterprise Software

Website