Jobs in San Leandro, CA

About the role

We’re looking for a Senior Scientist, Algorithms & Data Products to join our core R&D team, working at the heart of our manufacturing intelligence platform – not in a commercial analytics role. You’ll turn rich plasma sensor signals into trusted metrics and models and to build the automation that powers our next generation of experiments. This is a high‑impact, hands‑on R&D role at the core of SirenOpt’s technology stack, shaping how we design, run, and learn from our experiments.

What you'll bring

• Advanced degree (PhD or MS with substantial experience) in a quantitative field such as physics, applied mathematics, statistics, electrical engineering, computer science, or similar, with a strong focus on data analysis and modeling.
• 6+ years of hands on experience (industry or postdoc) building models for real world sensor or process data, not just web/NLP/recommender systems.
• A track record of catching problems in data that others missed – artifacts, drift, miscalibration, or a pipeline quietly producing plausible nonsense.
• Strong Python skills and experience with scientific computing/ML tooling (NumPy, SciPy, pandas, scikit learn
• Demonstrated ability to design and execute end to end analysis workflows: data ingestion and cleaning, feature engineering, model training, validation, and reporting.
• Experience with at least one of: spectroscopy, imaging, time series/multivariate process data, or other high dimensional measurement modalities.
• Solid grounding in statistics (hypothesis testing, confidence intervals, experimental design, control charts, etc.) and comfort reasoning about uncertainty and robustness.
• Experience designing or implementing automated experimental workflows or test rigs that integrate hardware and software (e.g., lab automation, instrument control, hardware in the loop setups, industrial test stands).
• Proven ability to communicate technical results clearly, in writing and in person, to both technical and non technical stakeholders.
• Comfortable working in lab and/or industrial environments: dealing with noisy data, incomplete logging, and partially instrumented systems.
• Comfort working with hardware APIs (e.g., vendor SDKs, REST/gRPC services, serial/fieldbus interfaces) from Python or similar, and reasoning about timing, synchronization, and error handling.
• Experience with multi‑modal data fusion (combining spectral, imaging, and process data) or related techniques in domains such as autonomous systems, medical imaging, or industrial inspection.

Benefits