Application Engineer, AI/ML at Lumafield
San Francisco, CA
$120,000–$140,000
Jun 29, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
This role sits at the intersection of machine learning and customer engagement, focused on building and deploying computer vision and ML models against industrial CT scan data for inspection use cases such as defect detection, dimensional analysis, and anomaly detection. The engineer owns the full model lifecycle — from data preparation and training through production deployment and monitoring — working directly with customer manufacturing teams on-site and remotely. Internally, the role feeds recurring customer needs back into the product and contributes to the company's broader ML strategy and governance practices.
Senior level · 4+ years · Cambridge, MA · Full-time
Pay in the description: $120,000–$140,000
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 110 people in the Cambridge, MA area plausibly meet what this posting asks for (data scientists). range 45–170
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.
What the occupation pays Median $132,040 (middle half $102,720–$166,120). 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 (7)
The role is titled 'AI/ML Application Engineer' with no seniority level in the title, hence advertised seniority is Unspecified; the 4+ years requirement and full model-lifecycle ownership support a Senior classification.
SOC classification is a genuine judgment call: the role centers on building and deploying ML/computer vision models (pointing to 15-2051 Data Scientists), but also involves substantial software engineering and deployment work (15-1252 Software Developers). 15-2051 was chosen as primary given the emphasis on model development, evaluation, and applied ML strategy.
The posting lists Cambridge, MA as HQ and San Francisco, CA as a secondary office; Cambridge is treated as the primary location. The role requires ~30% travel to customer sites and does not appear to be fully remote.
Cambridge, MA falls within the Boston-Cambridge-Newton, MA-NH CBSA (14460); the metro is set to reflect the city named in the posting.
Skills such as 'MES', 'SPC', and 'PLM' appear together as interchangeable manufacturing data system examples under the Bonus Points section and are captured as a single preferred skill with alternatives.
No specific programming languages or ML frameworks (e.g. Python, PyTorch, TensorFlow) are explicitly named in the posting despite being highly relevant to the role.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ML model development.
Read the full posting
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