Staff Machine Learning Engineer, Technical Lead
Paperless Parts · Boston, MA
$195,000–$263,000from the description
Jul 5, 2026
Boston, MA
Jul 21, 2026
What this job asks for AI summary
A technical lead role heading a newly formed machine learning engineering pod at a manufacturing-focused SaaS company. The position centers on building and operationalizing ML infrastructure — spanning data labeling, model training pipelines, and low-latency inference services — with a focus on computer vision, document intelligence, and predictive modeling applied to 2D drawings and 3D CAD data. The role also involves mentoring early-career engineers and bridging research and production.
Senior level · 8+ years · Boston-Cambridge-Newton, MA-NH · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 20 people in the Boston-Cambridge-Newton, MA-NH area plausibly meet what this posting asks for (data scientists). range 10–30
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $134,944 (middle half $104,979–$169,773). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The title 'Technical Lead' carries no explicit seniority level word (Junior/Mid/Senior/Staff/Principal), so advertised seniority is Unspecified. The 8+ years requirement and pod-lead scope support Senior.
The role sits at the intersection of ML research/science and software engineering. Data Scientists (15-2051) is the primary code given the emphasis on ML theory, model training pipelines, and inference; Software Developers (15-1252) is a credible runner-up given the production-grade engineering and MLOps ownership.
A technical degree in Computer Science, Applied Mathematics, or a closely related field is stated as 'essential,' making Bachelors the minimum hard requirement. An advanced degree is described as 'a strong plus,' so it is not a hard gate.
AWS SageMaker is named as an example platform under the MLOps requirement ('including platforms like AWS SageMaker'); the 'including' framing signals it as an illustrative example of a cloud-native ML platform rather than a strict single-tool gate, so alternatives for comparable platforms are listed.
Computer vision, document intelligence (LLMs), and metric learning appear in the role description as areas of work rather than under a formal requirements heading; they are marked preferred accordingly.
The posting notes that activities are subject to US Export Control Laws and require US Citizenship or Green Card Holder status — this is not a security clearance gate but a legal work-authorization constraint that cannot be captured in the clearance field.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.