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8 часов назад

Machine Learning Engineer (Ad Sciences)

172 500 - 210 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK/Singapore/US +4 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Machine Learning Engineer (Ad Sciences) (AI/AdTech): Building and optimizing training pipelines, open-source LLM infrastructure, and inference systems for large-scale advertising models with an accent on distributed data systems, accelerator-based computing, and cost-efficient serving. Focus on adapting DeepSpeed and OpenRLHF, optimizing GPU/TPU inference, designing monitoring and evaluation solutions, and collaborating on reinforcement learning and ad science experiments.

Location: San Mateo, California, United States

Salary: $172,500–$210,000 USD annual base salary for California and New York offices; final compensation varies by location and region.

Company

hirify.global is a global advertising technology company using AI, machine learning, and privacy-first data to connect brands, publishers, and consumers at large scale.

What you will do

  • Build and support training pipelines and machine learning model implementations to accelerate experimentation.
  • Adapt open-source LLM infrastructure, including DeepSpeed and OpenRLHF, for post-training requirements.
  • Optimize online and batch inference for low latency and cost efficiency.
  • Build monitoring and evaluation systems for reliable infrastructure and model quality.
  • Improve data pipelines and training and inference features using data from across the product portfolio.
  • Explore accelerator platforms such as JAX on TPUs and collaborate with Applied Scientists on experiment design and modeling.

Requirements

  • Master’s degree in machine learning or a related field.
  • At least 3 years of experience building large-scale machine learning or deep learning systems.
  • Expertise in distributed data systems, relational and key-value stores, Airflow, and Spark.
  • Expertise in Python and PyTorch or a similar ecosystem.
  • Experience with Triton, ONNX, TensorRT, cloud platforms, and Kubernetes.
  • Role location: San Mateo, California, United States.

Nice to have

  • PhD in machine learning or a related field.
  • Java experience, particularly with high-performance serving systems.
  • Knowledge of deep recommender systems, reinforcement learning, and post-training feedback loops.
  • Understanding of the advertising ecosystem, including OpenRTB, SSPs, DSPs, ad exchanges, and MMPs.

Culture & Benefits

  • Entrepreneurial environment with autonomy, accountability, and a focus on high-impact problems.
  • Continuous learning and career development through the Live Your Potential program.
  • Medical, dental, and vision insurance with a company-matched HSA, plus a 401(k) company match.
  • Vacation, sick days, special occasion time, company holidays, and parental leave.
  • RSU grants where applicable, wellness support, employee assistance, and pet insurance.
  • Flexible working hours, free office lunch, and pet-friendly offices.

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