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5 дней назад

Staff Machine Learning Engineer (AI)

172 200 - 283 900$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Machine Learning Engineer (AI): Building production ML platforms, forecasting models, calibrated commercial predictions, and LLM-based agent systems for gaming intelligence with an accent on probabilistic modeling, evaluation, reproducibility, and multimodal content understanding. Focus on designing end-to-end data-to-serving architectures, orchestrating frontier-model agents, and building feedback loops that measure errors and improve decision quality.

Location: Mountain View, California, USA

Base salary: $172,200–$283,900 per year, depending on the work location and experience. The role may also include equity awards and participation in company incentive plans.

Company

hirify.global develops a leading game engine and 3D development platform used across gaming and industries including automotive, manufacturing, and healthcare.

What you will do

  • Set the technical vision and architecture for an end-to-end ML platform, covering data ingestion, semantic layers, feature stores, model registries, evaluation, and serving.
  • Build production models for user acquisition cost, lifetime value, return on ad spend, market demand, and other commercial outcomes.
  • Design calibrated predictions, forecasting systems, ranking logic, portfolio recommendations, and feedback loops that measure realized outcomes and correct bias.
  • Develop online experimentation with guardrails, safe exploration, and clear human decision points.
  • Build evaluation harnesses for LLM-based agents, including automated playtesting and multimodal assessment of generated content.
  • Lead technical direction, mentor engineers across disciplines, and collaborate with product and expert teams to translate human judgment into training signals.

Requirements

  • Production machine learning experience owning systems end to end, from data to serving and measured business outcomes.
  • Deep experience with performance marketing or ad-tech modeling, including acquisition cost, lifetime value, return on ad spend, or retention prediction.
  • Strong knowledge of probabilistic prediction, calibration, quantile or interval prediction, coverage, bias correction, and forecast backtesting.
  • Production experience with LLM-based agent systems, including orchestration, evaluation harnesses, prompt and model versioning, and cost control.
  • Strong Python and modern ML tooling skills, with fundamentals across relational databases, columnar analytics stores, and event streams.
  • Professional English proficiency is required for frequent verbal and written communication with colleagues and partners worldwide.

Nice to have

  • Experience with mobile game user acquisition, LiveOps, monetization, game engines, or automated playtesting.
  • Time-series and demand forecasting experience using noisy, multi-source market signals.
  • Experience with Claude Agent SDK, Codex, or similar multi-agent software production frameworks.
  • Hands-on experience with BigQuery, ClickHouse, Kafka, Postgres, pgvector, or equivalent technologies.
  • Publications or open-source contributions in forecasting, causal inference, calibration, or agentic systems.

Culture & Benefits

  • Health, life, and disability insurance, with offerings varying by country and employment status.
  • Commute subsidy, retirement or pension plans, employee stock ownership, and generous vacation and personal days.
  • Parental leave and family-care programs, mental health and wellbeing support, and a global employee assistance program.
  • Training and development programs, employee resource groups, and volunteering and donation matching.
  • Office food and snacks in an inclusive, equal-opporthirify.global work environment.

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