Uncertainty Quantification Data Jobs

1 job found

1d ago

Data Scientist

Hadrian Automation Torrance, CA

Torrance, CA

1d ago

$170k - $300k/yr Full time Python Advanced Analytics Advanced Manufacturing

Apply Now

Job Description

Drive production-ready data science for manufacturing at Hadrian by predicting cycle time, cost, tool wear/life, quality/yield, and triage risk ahead of production runs.

Responsibilities

Build and ship production models for cycle time, tool life, quality, and demand using calibrated uncertainty (quantile, conformal, or Bayesian) instead of point estimates alone.
Predict outcomes directly from geometry by engineering features and developing geometric/graph models for cycle time, cost, DFM, tolerance risk, and triage probability.
Create a part and operation embedding layer representing parts via geometry, material, tolerances, and route; perform similarity retrieval and transfer behavior to cold-start new parts.
Validate with honest backtesting that respects time ordering and prevents part-family leakage; justify model choice (deep vs classical) per problem.
Own model lifecycle end to end on the platform: reproducible training, serving, monitoring, and retraining in partnership with ML Platform and Data Engineering.
Close the loop in production by detecting drift and quality anomalies so predictions improve as new data arrives.
Translate predictions into business decisions for quoting, scheduling, capacity, and DFM; design experiments/A-B tests to measure impact; document results and hand off to operations.

Requirements

Experience with forecasting and prediction on messy manufacturing data with honest uncertainty.
Proficiency in representation learning and embeddings, including similarity/retrieval and transfer or few-shot approaches for limited, sparse data.
Ability to build shipping deep learning solutions in PyTorch and apply judgment on when deep learning is or is not appropriate.
Strong classical ML and statistics including GBMs, Bayesian/hierarchical, survival, and causal methods.
Demonstrated validation rigor: backtesting, leakage control (time and part-family), and calibration.
Strong Python skills for turning complex processes into features and models that can be consumed by operators and downstream systems.
Experience deploying and monitoring models, with pipelines and drift considered from the start.
Comfort working with limited, high-value data and borrowing strength across related cases.

Technologies

PyTorch
quantile
conformal
Bayesian
GBMs
Python
PyTorch Geometric
CAD
B-rep
GNNs
ANN
IoT
A/B tests

Benefits

Medical, dental, vision, and life insurance plans for employees
401k
Relocation support may be provided for certain situations, based on business need
Flexible vacation policy
Equity

Compensation

Target salary range: USD 170,000 - 300,000 per yearly (actual range may vary based on experience)
Pay position within the range is based on factors including relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs

ITAR Requirements

To conform to U.S. Government space technology export regulations (including ITAR), candidates must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required authorizations from the U.S. Department of State.

Use of AI in Hiring

Hadrian uses AI-assisted tools in recruiting and hiring to help the team work more efficiently.
AI tools support the team and are not used to make hiring decisions; human evaluation and decisions are used.
If an interview will be recorded, you will be notified in advance and may opt out at any time without impact on candidacy.
Candidate data processed through these tools is subject to the same protections described in Hadrian’s Privacy Policy.

View full job page →

Get Uncertainty Quantification Data Jobs alerts

New Uncertainty Quantification Data Jobs, daily.