Назад
Company hidden
8 часов Π½Π°Π·Π°Π΄

Data Scientist (Applied AI)

150Β 000 - 170Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
junior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
/
TL;DR
Data Scientist (Applied AI): Building and deploying AI/ML capabilities, inference services, evaluation pipelines, and production software for defense applications with an accent on robustness, reliability, and edge deployment. Focus on evaluating models in adversarial and degraded conditions, integrating data and model-serving systems, and optimizing low-power or GPU-constrained inference.

Location: San Francisco, California, United States; on-site at least 2 days per week from the San Francisco office, with 2–4 days preferred. Travel: 10–20%, mostly domestic.

Salary: $150,000–$170,000 annual base compensation, excluding bonus, equity, and benefits.

Company

hirify.global 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.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’