Machine Learning Solutions Engineer
Pivotal Partners is partnered with a Series C ($200M+) Accel and Lightspeed Ventures-backed data AI platform, leading the charge in transforming how organisations leverage data through cutting-edge machine learning solutions.
In this role, youll work directly with clients from a pre-sales perspective, focusing on deploying and optimising machine learning models on the platform. You will be focused on driving customers by delivering technical expertise, designing bespoke ML solutions, and providing support throughout the customer journey.
Role: Machine Learning Solutions Engineer
Location: Remote, United States
Salary: Up to $300K OTE (depending on experience)
Key Responsibilities:
Deliver technical guidance and training to customers, ensuring they maximise the platforms capabilities.
Build and deploy machine learning models using Python and leading frameworks like TensorFlow, PyTorch, or Scikit-learn.
Oversee the integration, customisation, and deployment of ML models within client environments.
Support customers throughout the sales process, offering technical insight and troubleshooting as needed.
Requirements:
Experience working in a SaaS organisation (ideally an early stage vendor).
Proven customer-facing experience, ideally in a pre-sales or sales engineering role.
Strong proficiency in Python and experience building and deploying machine learning models.
Familiarity with industry-standard ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Hands-on experience with end-to-end model development, from data preprocessing to deployment and monitoring.
Ability to thrive in a dynamic, client-focused environment.
Remote position open to candidates based anywhere in the US.
Apply Now
In this role, youll work directly with clients from a pre-sales perspective, focusing on deploying and optimising machine learning models on the platform. You will be focused on driving customers by delivering technical expertise, designing bespoke ML solutions, and providing support throughout the customer journey.
Role: Machine Learning Solutions Engineer
Location: Remote, United States
Salary: Up to $300K OTE (depending on experience)
Key Responsibilities:
Deliver technical guidance and training to customers, ensuring they maximise the platforms capabilities.
Build and deploy machine learning models using Python and leading frameworks like TensorFlow, PyTorch, or Scikit-learn.
Oversee the integration, customisation, and deployment of ML models within client environments.
Support customers throughout the sales process, offering technical insight and troubleshooting as needed.
Requirements:
Experience working in a SaaS organisation (ideally an early stage vendor).
Proven customer-facing experience, ideally in a pre-sales or sales engineering role.
Strong proficiency in Python and experience building and deploying machine learning models.
Familiarity with industry-standard ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Hands-on experience with end-to-end model development, from data preprocessing to deployment and monitoring.
Ability to thrive in a dynamic, client-focused environment.
Remote position open to candidates based anywhere in the US.
Apply Now