aipythoncloudpytorchcomputer visiondeep learningnlpstartupjaxtime series analysis
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$180к-250к/год
$230к$250кмедиана$310к
По похожим ролям (49) ~ $250к/год
На СНГ рынке: $4.4к/мес ($3.6к - $5.6к)
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Роль даёт широкую исследовательскую ответственность и работу с необычными мультимодальными данными, но стартап-среда и высокий порог по публикациям делают возможность рискованной и узкоспециализированной.
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Риски стартапаВысокий порогСовременный стекAI и здоровьеПоддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Scientist (AI): Building models, benchmarks, and cloud-based data pipelines for rich multimodal datasets with an accent on deep learning, time-series analysis, and behavioral feature extraction. Focus on architecting petabyte-scale processing systems, defining ground truth and evaluation metrics, and deploying models that support AI-human interaction.
Location: San Francisco, CA, USA; on-site.
Salary: USD 180,000–250,000 per year plus equity.
Company
hirify.global is building an AI-human translation layer and multimodal foundation models focused on understanding human experience, cognition, emotional wellness, and interpersonal relationships.
What you will do
Train and fine-tune deep learning models using PyTorch or JAX to transform raw signals into interpretable behavioral constructs.
Perform advanced time-series analysis to identify latent state changes, clusters, and transitions for research and product applications.
Architect cloud-based data processing pipelines capable of handling petabytes of data.
Define ground truth, evaluation metrics, rigorous benchmarks, and validation datasets.
Implement active learning loops and clean, wrangle, and interpret noisy, high-variability real-world data.
Deploy models and influence data collection strategy across the full data lifecycle.
Requirements
Top-tier publications in NeurIPS, ICLR, CVPR, or ICML, or high-impact journals such as Nature or Science.
Deep experience in time-series analysis plus expertise in at least two of computer vision, NLP, audio or speech processing, and biosignal or neural time series.
Proficiency in PyTorch or JAX, including implementing papers from scratch and modifying architectures for custom needs.
Strong expertise in Python.
Experience architecting data processing pipelines and deploying models in the cloud.
Adaptability and enthusiasm for developing creative solutions to unsolved problems.
Commitment to positively impacting human well-being.
Ability to thrive in a high-bandwidth, collaborative environment.
Nice to have
Familiarity with neuroadaptive systems, biofeedback, or closed-loop stimulation paradigms.
Exposure to large-scale foundation models.
Experience with a product where analysis directly informed strategy or UX.
Interest in neurotechnology, mental health, or human-AI interaction.
Culture & Benefits
Fully covered health, dental, and vision insurance premiums.
Renovated office in San Francisco’s Mission District, relocation assistance for joining in San Francisco, and a workspace setup stipend.
Team dinners, outings, off-sites, retreats, a stocked kitchen, and a dedicated meal budget.
Conference travel sponsorship and regular professional development activities.
At least 12 weeks of fully paid parental leave with a soft-landing transition, plus paid time off.
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