Senior LLM Scientist

1 Month ago • 3 Years + • Research Development

Job Summary

Job Description

The Senior LLM Scientist will be responsible for developing end-to-end solutions, from defining problems to deploying models into production. This involves collaborating with product teams, working closely with ML engineers, conducting evaluations, and staying updated on the latest research. They will work on LLM-related topics like agents, chatbots, and RAG systems. The role requires building and deploying enterprise-level LLM applications and a strong understanding of evaluation techniques, reasoning, and workflows. They will also be involved in mentoring junior scientists. The role requires a Master's or PhD degree in a related field and experience in machine learning or engineering roles. Experience in cross-functional collaboration and leading projects is also required. A strong sense of impact, excellent analytical skills and a passion for new technologies are also important.

Must have:

3+ years of experience in machine learning roles
Experience in building and deploying LLM applications
Familiar with LLM evaluation techniques
Experience in multi-step reasoning and workflows
Experience in cross-functional collaboration

Good to have:

Industry experience in the MarTech domain
Experience with LLM toolkits or frameworks
Familiarity with prototyping tools
Knowledge of fine-tuning or adaptation techniques

8 skills required

8 skills required for this role

Add these skills to join the top 1% applicants for this job

saas-business-models

team-management

cross-functional

github

cross-functional-collaboration

prototyping

model-deployment

machine-learning

Job Details

About Appier

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the Role

We are looking for a Senior LLM Scientist to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.
In this role, you will be responsible for end-to-end development, from problem definition to driving model deployment into production.

What You’ll Work On

Work on one or more of the following LLM-related topics: agents, chatbots, copilots, RAG systems
Collaborate with product teams to translate product goals and business needs into well-defined ML problems during the planning stage
Work closely with ML engineers to deploy models to production, ensuring reliability and maintainability
Conduct offline and online evaluation, monitoring, and continuous optimization of models after deployment
Stay up to date with the latest research and proactively propose innovative applications
(Optional) Mentor junior scientists and help evolve team developing culture and standards.

What We’re Looking For (Minimum)

Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields
3+ years of experience in machine learning or engineering roles
Experience in building and deploying enterprise-level LLM applications (e.g., intelligent agents)
Familiar with LLM evaluation techniques, including hallucination detection and confidence scoring, with an emphasis on quantitative metrics and systematic benchmarking.
Hands-on experience with multi-step reasoning, modular workflows (e.g., multi-component prompting, agent orchestration), and RAG pipelines
Experience in cross-functional collaboration and leading industry projects
Strong sense of impact, with excellent analytical and problem-solving skills, and a passion for new technologies
Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity

What We’re Looking For (Preferred)

Industry experience in the MarTech domain, with a strong passion for building customer-centric products
Experience with LLM toolkits or frameworks like LangChain, AutoGen, or Google ADK
Familiarity with prototyping tools such as Streamlit or Gradio
Knowledge of fine-tuning or adaptation techniques, such as LoRA or instruction tuning

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