Data Scientist (Applied AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Location: San Francisco, California, United States; on-site at least 2 days per week from the San Francisco office, with 2β4 days preferred. Travel: 10β20%, mostly domestic.
Salary: $150,000β$170,000 annual base compensation, excluding bonus, equity, and benefits.
Company
develops defense products powered by Coherent Distributed Networks for warfighters, commercial air operators, and border protection teams.
What you will do
- Build applied AI systems, including model integrations, inference services, evaluation pipelines, and production-facing capabilities.
- Research, collect data, validate hypotheses, and develop robust, testable, maintainable, and deployable models with product and mission teams.
- Evaluate and improve model performance in adversarial GPS-denied environments, degraded inputs, and low-power or edge deployments.
- Develop production-quality software for data acquisition, processing, model serving, monitoring, lifecycle management, and system integration.
- Create prototypes and iterate them toward production-ready implementations.
- Improve AI system reliability through testing, benchmarking, observability, interpretability, failure analysis, and performance optimization.
Requirements
- BS/MS in Computer Science, Engineering, Machine Learning, Applied Mathematics, Physics, or a related technical field.
- 2+ years of professional software development experience and strong Python skills.
- Experience building, testing, deploying, and supporting production software systems.
- Experience with AI/ML model integration, model serving infrastructure, or model lifecycle management.
- Experience with model evaluation, benchmarking, robustness testing, interpretability, or ML observability.
- Familiarity with APIs, distributed systems, containers, CI/CD, observability, edge deployment environments, or GPU optimization.
Nice to have
- Experience with RF, image or video processing, computer vision, LLM applications, AI agents, or autonomous and robotic systems.
- Experience with drones, sensor fusion, tracking, or moving-target detection.
- Experience in aerospace, defense, critical infrastructure, robotics, or other mission-critical environments.
- Experience with low-latency inference, hardware-constrained systems, or degraded-connectivity environments.
Culture & Benefits
- Medical, dental, and vision benefits fully paid by the company.
- 401(k) with a 50% company match up to 6% of pay, plus FSA, HSA, and life insurance.
- Free daily lunch, no-meeting Fridays, unlimited PTO, and a casual dress code.
- Competitive base salary, pre-IPO stock options, relocation assistance, and planned annual bonuses.
- A 250-person organization operating across five global offices.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β