Magnify

Machine Learning Applied Scientist Tech Lead

United States

Hybrid

Full Time

#Engineering

#Statistical Analysis

#Machine Learning

#Python

#Pipelines

#AI

#Optimization

#Software Development

Magnify is looking for a Machine Learning Applied Scientist Tech Lead

Full Time Lead Hybrid United States Engineering Statistical Analysis Machine Learning Python Pipelines AI Optimization Software Development English Hybrid work

Magnify brings the power of the latest AI, ML, and large-scale data architectures to transform the customer experience in software. ML / Applied Scientists at Magnify develop ML models and agentic workflows that enable unique insights and actionable intelligence within Magnify’s post-sales orchestration platform.

This is a remarkable opportunity for someone with deep statistical analysis and ML experience to make a significant difference in early product development at our company. Magnify needs problem solvers who like to automate and optimize, enjoy simplifying complexity and know how to experiment.

We’re looking for a ML / Applied Science Tech lead who is a pragmatic leader and who can translate business needs into workable science solutions. Successful candidates will enjoy dealing with ambiguity, solving hard, large scale problems, and working in a startup environment. They will take ownership, dive deep and drive solutions from prototype and designs all the way to tested, monitored, deployed code. The role requires innovation and the capability to push through boundaries, all in the service of helping our customers successfully deliver their products.

As one of the first hires at a venture-track company, this role provides an opportunity to grow with the business, and to have real impact with enormous upside.

Qualifications and Experience

Successful candidates are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you don’t meet all of the items below.

PhD OR Master's Degree plus industry or academic research experience in Engineering, Technology, Computer Science, Machine Learning, Robotics, Operations Research, Statistics, Mathematics or a related quantitative field

7+ years of experience in applied science and software development in high growth, startup environments or in scaled SaaS businesses.

Strong proficiency in statistical analysis and experience building machine learning models or developing algorithms for business applications. Hands on experience in predictive and optimization models with large data analysis.

Strong proficiency in Python and experience building and maintaining productionized ML models, familiarity with ML pipelines and infrastructure, and experience integrating ML capabilities with product experiences.

Demonstrated success leading and delivering complex software projects with limited oversight in a distributed environment. Excellent written and verbal communication skills, and able to grasp complex business metrics and convey them clearly to fellow developers

Passionate about delivering for users and collaborating with teammates.

Have a strong bias for action, a track record of moving quickly, and the ability to identify where and when scrappiness is the right approach versus those places where deeper rigor is required.

Familiarity with LLM, Generative AI, and agentic workflows.

Magnify.io is is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Magnify

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Machine Learning Applied Scientist Tech Lead at Magnify