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13 часов Π½Π°Π·Π°Π΄

Applied Scientist (Generative AI)

157Β 300 - 212Β 800$
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
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

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TL;DR
Applied Scientist (Generative AI) (machine learning/advertising): Developing scalable machine-learning models and Generative AI solutions for Sponsored Products and Brands, connecting shoppers with relevant ads through high-scale real-time services with an accent on deep learning, experimentation, and customer insights. Focus on designing and deploying production models, analyzing large-scale data, improving training and serving efficiency, and researching new generative AI approaches.

Location: New York, NY, USA, or Seattle, WA, USA

Salary: $157,300–$212,800 annually in New York; $136,000–$184,000 annually in Seattle.

Company

hirify.global Ads develops advertising products and generative AI technologies that help customers discover products and enable advertisers to reach relevant audiences.

What you will do

  • Analyze large-scale data to identify business insights, gaps, and opportunities.
  • Develop scalable machine-learning models and generative AI solutions for Sponsored Products and Brands.
  • Run A/B experiments, collect data, and perform statistical analysis.
  • Collaborate with software engineers to deliver end-to-end solutions into production.
  • Improve the scalability, efficiency, and automation of data analytics, model training, deployment, and serving.
  • Research generative AI modeling approaches to optimize advertising products and customer experiences.

Requirements

  • Master’s degree in computer science, mathematics, statistics, machine learning, or an equivalent quantitative field.
  • Programming experience in Java, C++, Python, or a related language.
  • Experience with SQL and an RDBMS or data warehouse.
  • Experience developing real-time, large-scale machine-learning systems is relevant to the role.

Nice to have

  • Experience implementing algorithms with both machine-learning toolkits and self-developed code.
  • Publications in top-tier peer-reviewed conferences or journals.

Culture & Benefits

  • Work with a collaborative, entrepreneurial team applying machine learning and generative AI to advertising.
  • Medical, dental, vision, prescription, life, and AD&D insurance options.
  • 401(k) matching, paid time off, and parental leave.
  • Sign-on payments and restricted stock units may be included in the compensation package.
  • Additional support includes mental health resources, flexible spending accounts, and adoption and surrogacy reimbursement.

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†’