Paperless Parts, Inc.

Staff Machine Learning Engineer, Technical Lead

Boston, MA · Staff+ · Full-time

No sponsorship$195k-$263kDetected 16 days ago

AlgorithmsAWSMachine LearningDeep LearningComputer VisionMLOpsStatisticsSalesMedical DevicesResearchCommunicationCollaboration

About the role

In this high-leverage role, you will act as the bridge between the art of the possible and high-velocity engineering execution.
You will translate cutting-edge models and algorithms into production-grade training pipelines and inference services.
Rigorous yet Pragmatic: You possess a deep theoretical grounding in machine learning and artificial intelligence fundamentals, but you are driven by shipping code that solves real-world, industrial problems.

Responsibilities

Drive R&D Execution: Own planning and execution of the AI/ML pod's backlog. Partner closely with the Chief Scientist and other engineering pods to ensure the research pipeline aligns smoothly with border product timelines.
Prototype and Transition: Lead the hands-on prototyping of novel solutions and transition of successful proofs-of-concept into production-ready services.
Operationalize ML Infrastructure: Develop scalable, repeatable approaches to labeling data, training models, and deploying services that support our products with AI capabilities.
Design Rigorous Benchmarks: Define and track metrics that evaluate the effectiveness and costs of our AI-powered solutions, enabling key technology decisions to be data-driven.
Mentor the Pod: Act as the technical anchor and primary mentor for early-career ML engineers. Cultivate an engineering culture of deep theoretical and practical rigor through hands-on pairing and comprehensive design and code reviews.
Culture: At Paperless Parts, we value intentionality, persistence and relationships. We live and breathe these values every day. As a fast-growing company, we're continually improving what we've built while still building from the ground up.
people regularly collaborate to solve complex problems.
We recognize that people work well in different environments and have intentionally designed our office to provide collaborative spaces and quiet focus areas.
Our height-adjustable desks are set up with additional monitors, and employees are provided with the latest Apple technology to support productivity.
As a fast-growing company, we're continually improving what we've built while still building from the ground up.

Requirements

Mentor & Force Multiplier: You are passionate about teaching and elevating early-career technical talent.
You enjoy breaking down complex concepts and foster a culture of engineering discipline and curiosity.
Exceptional ability to communicate complex technical concepts to non-technical stakeholders and influence decisions without relying on authority.
Responsible for adherence to all security and privacy requirements, rules and regulations and implement as required. </sp

Nice to have

8+ years of experience in relevant R&D roles with a strong background in SaaS products at scale (start-up to scale-up transition experience preferred).
a technical degree in Computer Science, Applied Mathematics, or closely related field, with a strong understanding of the mathematics behind modern AI/ML techniques is essential.
An advanced degree and track record of peer-reviewed publications is a strong plus when paired with proven software experience in industry.
Advanced Academic Foundation: a technical degree in Computer Science, Applied Mathematics, or closely related field, with a strong understanding of the mathematics behind modern AI/ML techniques is essential.

Skills

Experience working with cloud-native patterns for ML pipelines, including platforms like AWS SageMaker.

Compensation

$195,000 - $263,000
The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.
We may ultimately pay more or less than the posted range, and the range may be modified in the future.
An employee's pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, performance, sales or revenue-based metrics, and business or organizational needs.

Benefits

100% coverage of health, dental, and vision for you and your dependent
Company-sponsored wellness stipend
Pre-tax Commuter and FSA/Dependent Care FSA
You will ensure that our approach to computer vision, document intelligence, and predictive modeling is both mathematically rigorous and operationally sound.
AI/ML Fundamentals: A robust understanding of core machine learning and deep learning theory, including neural networks, statistical modeling and inference, and metric learning.
Continuous Learning: We invest in our people and offer opportunities to learn, grow, and advance their careers.
You possess a deep theoretical grounding in machine learning and artificial intelligence fundamentals, but you are driven by shipping code that solves real-world, industrial problems.

Company info

We value intentionality, persistence, and deep technical discipline.
You will have the freedom to meld academic-level inquiry with the agility of a fast-scaling startup.
Our team is our greatest asset, and we foster an environment where everyone can thrive.
If you're a forward-thinking engineer eager to make a significant impact while working with a talented, driven team, we'd love to hear from you!
At Paperless Parts, we value intentionality, persistence and relationships.
We live and breathe these values every day.

Visa & Work Authorization

This position requires activities that are subject to US Export Control Laws and require US Citizenship or Green Card Holder

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This listing is sourced directly from Paperless Parts, Inc.'s careers page and normalized into a canonical job model.