Senior Machine Learning Scientist

3 Months ago • 3 Years +

Research Development

Job Description

Appier is seeking a Senior Machine Learning Scientist to join the Enterprise Solution Science Team. This role involves applying cutting-edge ML technologies to real-world marketing problems using omnichannel customer data. Responsibilities include end-to-end ML model development, from problem definition to production deployment, focusing on areas like user intention prediction, segmentation, and recommendation. The scientist will collaborate with product teams, deploy models with ML engineers, conduct evaluations, monitor performance, and propose innovative applications. Additionally, the role involves mentoring junior scientists and contributing to team development standards. The ideal candidate will have a Master's or PhD in a relevant field and experience in deploying enterprise-grade ML models.

Good To Have:

Industry experience in MarTech domain
Passion for building customer-centric products

Must Have:

Master's or PhD in CS, ML, Math, EE, or related
3+ years applying ML techniques
Proficient in Python and ML frameworks (PyTorch/TensorFlow)
Experience deploying enterprise ML models
Experience in cross-functional collaboration
Strong analytical and problem-solving skills
Proficient in LLM-powered tools (e.g., GitHub Copilot)

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

saas-business-models

team-management

cross-functional

timeline-management

github

cross-functional-collaboration

model-deployment

pytorch

python

tensorflow

machine-learning

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 Machine Learning Scientist to join the Enterprise Solution Science Team.
Our 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 topics: user intention prediction, user segmentation, product recommendation, campaign content optimization, and send time optimization.
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.
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 applying ML techniques in areas such as prediction, optimization, segmentation, or recommendation.
Proficient in Python and commonly used ML frameworks such as PyTorch or TensorFlow.
Practical experience in deploying enterprise-grade ML models, including model pipeline and performance dashboard development.
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.