1918 Ai First Software Engineer jobs in New York,NY

Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent.
15+ years of hands-on software design and development experience in the electronic trading domain.
5+ years of technical leadership, managing a team, and mentoring software developers
Experience in building **algorithmic trading** systems for **equities and options**
Experience with**equities and options market data**
Expertise in **C/C++** , **Python** , and **Linux**.
Deep experience with **low latency messaging systems** (e.g., 29West/Ultra-Messaging, Kafka).
Proficiency in **KDB+** or other time-series databases.
Strong background in building **scalable** , **distributed** , **asynchronous** , and **event-driven** applications.
Advanced knowledge of **low latency design patterns** and **performance optimization** techniques.
Experience in **Capital Markets** or **Brokerage systems** , especially **order management**.
Solid understanding of the **FIX protocol** and FIX engines.
Experienced with using **GenAI developer assist tools** (e.g. GitHub Copilot).
Experience with **CI/CD tools** such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
Experience with deploying applications and services in **AWS**

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Advanced Software Engineer

Relativity

New York, NY 10261

New, Posted 1 day ago

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Head of AI Data Science, Intelligence Ventures

Spectrum

New York, NY 10036

OnsiteUrgently Hiring

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

SmartExplore AI is experimental.

New, Posted 10 hours ago