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JPMorgan Chase & • New York, NY

~ 35 min Onsite

The Walt Disney Company (Germany) GmbH

New York, NY 10025

Hands‑on experience with cloud‑native data platforms and distributed processing (Snowflake/Databricks/BigQuery/Spark) and orchestration (Airflow/Dagster).
Must have 10+ years of experience in machine learning engineering and/or applied ML roles delivering production ML systems (models + pipelines + monitoring).
Must have 4+ years in a technical leadership capacity, including people leadership and/or strong delivery ownership in ML environment.
Strong proficiency in Python and SQL; software engineering best practices (version control, CI/CD, automated testing).
Must have knowledge of data privacy regulations (GDPR, CCPA) and implementing privacy‑aware data and modeling practices.
Proven experience applying machine learning techniques in code to develop predictive systems at scale (including deep learning where appropriate).

Genentech

New York, NY 10025

Engineering: Strong software engineering skills and experience designing and operating large‑scale or high‑performance machine learning systems.
PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
Experience: For Principal (SE7): 5+ years of industry or post‑PhD experience with a demonstrated track record of technical leadership and project ownership.
LLM Expertise: Extensive experience developing and training large‑scale machine learning models, including approaches to improve domain understanding, reasoning capabilities, and model alignment.
Experience: For Senior (SE6): 0 – 2+ years of industry or post‑doc experience with a focus on deep learning.
Publication Record: A strong history of research excellence at top‑tier venues (e.g., NeurIPS, ICLR, ICML).

Spotify USA

New York, NY 10025

IMC

New York, NY 10025

Excellent written and verbal communication skills
PhD OR Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field
4+ years of experience building applied ML models; previous experience in trading environment preferred
Strong understanding of theoretical foundations of state-of-the-art ML models
Proven expertise in developing and deploying predictive models in low-latency environments
Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax

The Walt Disney Company (France)

New York, NY 10025

Must have knowledge of data privacy regulations (GDPR, CCPA) and implementing privacy-aware data and modeling practices.
Must have 10+ years of experience in machine learning engineering and/or applied ML roles delivering production ML systems (models + pipelines + monitoring).
Must have 4+ years in a technical leadership capacity, including people leadership and/or strong delivery ownership in ML environment.
Strong proficiency in Python and SQL; software engineering best practices (version control, CI/CD, automated testing).
Hands-on experience with cloud-native data platforms and distributed processing (Snowflake/Databricks/BigQuery/Spark) and orchestration (Airflow/Dagster).
Bachelor's degree in a relevant technical or science field (e.g. computer science, data science, mathematics, or a related discipline).
Proven experience applying machine learning techniques in code to develop predictive systems at scale (including deep learning where appropriate).