Senior Machine Learning Engineer II, Growth Modeling

SpaceX

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $240,000–$253,000 / yr
Posted: 128 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k

This role $246k

$161k most similar roles pay here $272k

This role pays more than 70% of similar roles. Most pay $178,971–$256,000 — the shaded band above. At the midpoint, this role pays about $246k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.

SpaceX currently has 604 open roles on FindRole.

Listed pay typically runs $130,000–$155,000 across 440 roles with salary data.

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View all roles at SpaceX

At a glance

TL;DR · Senior Machine Learning Engineer II, Growth Modeling

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The tech lead role within Instacart’s Growth organization focuses on driving significant business growth through the development of ML/AI solutions in the incentive space. This senior position involves identifying high-leverage opportunities, defining technical roadmaps, and executing end-to-end initiatives to optimize incentives. The candidate will work closely with product managers, marketers, data scientists, and backend engineers to build impactful ML applications that address unique business challenges. Responsibilities include mentoring team members, raising technical standards, and enhancing execution efficiency. Ideal candidates possess a strong background in analytics, modeling, programming, and communication, along with experience in incentive optimization, causal modeling, LLMs, and reinforcement learning. This role is part of a fast-moving, results-driven team that values innovation and collaboration to solve complex business problems at scale.

Skills

Python TensorFlow PyTorch Kubernetes AWS CI/CD MLOps PostgreSQL Docker Git Scikit-learn Pandas NumPy Jupyter Notebook SQL Linux GitHub Google Cloud Platform Azure

What you'll do

Identify high-leverage opportunities in incentive optimization and define technical roadmaps.
Drive end-to-end execution of ML/AI solutions to deliver measurable business impact.
Mentor team members and raise technical standards within the group.
Partner with product managers, marketers, data scientists, and backend engineers.
Develop production-ready ML/AI systems for optimizing incentive allocation.

What we're looking for

Proven experience in identifying high-impact opportunities and defining technical roadmaps.
Hands-on development of production-ready ML/AI solutions delivering measurable business results.
Strong skills in analytics, modeling, programming, and communication.
Experience partnering with cross-functional teams including product managers, marketers, data scientists, and backend engineers.
Leadership and mentoring experience to raise technical standards and improve team efficiency.
Background in incentive or pricing optimization (preferred).
Knowledge of causal modeling, LLMs, and reinforcement learning (preferred).

Remote

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