505 Machine Learning Scientist Nlp Associate jobs in New York,NY

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Apprentice (Machining/Mechanical)

Mill-Max Manufacturing

Oyster Bay, NY 11771

$25-$30/hr

~ 51 min OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

Must have mechanical ability
Must have good visual attentiveness
High School diploma

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Machinist - 2nd Shift

Mirion Technologies

Florham Park, NJ 07932

~ 50 min Onsite

Associate degree (A. A.) or equivalent from two-year college or technical school; or 6months to 1-year related experience and/or training; or equivalent combination of education and experience.
Must read, write, and understand English
Frequently required to stand; walk; sit; use hands to handle feel, reach. May frequently lift and/or move up to 40 pounds.
Measuring and marking dimensions and reference points on material or workpiece as guides for subsequent machining
Sets up and operates conventional, special purpose, and/or numerical control (CNC) machines and machining centers to fabricate metallic and nonmetallic parts
Reads and interprets written information
Strong verbal communication skills needed
Must be attentive to detail
Must be a team player and dependable - Must be consistently at work and on time
Ability to read and interpret documents such as safety rules, operating and maintenance instructions
Safety and Security - Observes safety and security procedures
Ability to apply common sense understanding to carry out instruction
Physical ability to adjust focus, color vision, depth perception

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Production Machinists (all shifts)

Mill-Max Manufacturing

Oyster Bay, NY 11771

$21-$25/hr

~ 51 min OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

High School Diploma
English fluency
Excellent organizational, interpersonal, and communication skills

SmartExplore AI is experimental.

New, Posted 6 hours ago

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks; experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners; comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams; experience recruiting and developing senior ML talent in competitive markets
Genuine intellectual curiosity about the application of AI to behavioral science, consumer intelligence, and agentic systems; awareness of the evolving landscape of foundation models, retrieval-augmented generation, and multi-agent AI architectures
Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience leading applied ML or data science teams building consumer-facing or enterprise intelligence products — 7 years
Hands-on experience designing and training transformer or deep learning models on sequential behavioral data at scale — 5 years
In-office position preferably based in New York City
Travel as required for partner engagements, executive meetings, and industry events

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