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Spark Foundry · 8 hours ago

Manager, Machine Learning & AI Engineering

New York, NY

Full-time

Onsite

Mid, Senior Level

$87K/yr - $137K/yr

3+ years exp

Spark Foundry is a global media agency focused on enhancing brand engagement through innovative media solutions. The Manager of Machine Learning & AI Engineering will develop and deploy GenAI applications and traditional ML systems to assist media planners and strategists, overseeing projects from inception to deployment.

AdvertisingMarketing

H1B Sponsor Likely

Responsibilities

Design, build, and deploy machine learning and GenAI solutions for media use cases

Develop time-series forecasting, classification, clustering, and recommendation models, taking them from experimentation through production deployment

Build LLM-powered applications such as RAG systems, conversational analytics, insight generators, and prompt-based tools for content and creative workflows

Integrate and operationalize foundation models (e.g., OpenAI, Anthropic Claude, etc.), including prompt design, vector search, semantic retrieval, and output optimization

Own ML features end-to-end from requirements gathering and experimentation to production deployment, monitoring, and iteration

Write production-quality, scalable code with proper testing, documentation, performance optimization, and error handling

Monitor deployed models for accuracy, drift, reliability, and business impact; retrain and improve models based on real-world usage

Experiment rapidly, evaluate tradeoffs across accuracy, cost, latency, and complexity, and validate solutions with real users

Collaborate closely with data engineers and agency teams to align data pipelines, technical solutions, and business needs

Communicate technical concepts clearly to non-technical stakeholders and contribute to documentation, reviews, and knowledge sharing

Stay current on ML and GenAI advancements relevant to media, evaluate new tools pragmatically, and bring informed recommendations to the team

Qualification

Machine LearningPythonML frameworksLLM applicationsSQLCloud platformsSoftware engineeringGenAI architecturesTime-series forecastingMLOps practicesDistributed data processingExperimentationMedia conceptsCollaborationCritical thinkingAdaptability

Required

3-5+ years of hands-on experience building and deploying ML models in production

Strong Python skills and experience with ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM)

Practical experience building applications with LLMs (OpenAI, Anthropic, or open-source models)

Solid understanding of ML fundamentals: feature engineering, evaluation, overfitting, imbalanced data

Experience deploying models beyond notebooks (APIs, batch jobs, real-time inference)

Strong SQL skills and experience working with large datasets

Experience with cloud platforms (AWS, GCP, or Azure) and Docker

Software engineering fundamentals: Git, testing, CI/CD, code reviews

Ability to work independently, make pragmatic tradeoffs, and navigate ambiguity

Experience with GenAI architectures: RAG, embeddings, vector databases (Pinecone, Weaviate, Chroma)

Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks

Experience with time-series forecasting, recommendation systems, or ranking models

Exposure to MLOps practices (MLflow, monitoring, feature stores)

Experience with distributed data processing (Spark, Databricks)

Understanding of experimentation and A/B testing

Familiarity with media and advertising concepts (reach, frequency, attribution)

Entrepreneurial, engaging, resourceful, curious, and self-directed spirit

Willing and easily roll sleeves up or down; love the nitty-gritty and the strategy

Collaborative approach to building cohesive, strong teams

Loving and living the intersections between brands, people, media, communications

Relentlessly passionate and resolute

Planning and time management excellence

Embrace challenges

Proactive, especially in pushing for new opportunities, approaches, and ideas

Keenly focused on action and solutions; thrives with deep critical thinking and analysis

Pioneering insight attitude and research in-the-know

Resourcefulness, flexibility and adaptability, strong ability to pivot when the need arises

Inspired to be part of the insight journey/revolution with a growing, dedicated team

Benefits

Medical coverage

Dental

Vision

Disability

401K

Parental and family care leave

Family forming assistance

Tuition reimbursement

Flexible time off

Company

Spark Foundry

Glassdoor3.9

Spark Foundry is one of six global media agency brands within Publicis Media.

Founded in 2016

New York, New York, USA

1001-5000 employees

http://www.sparkfoundryww.com/

H1B Sponsorship

Spark Foundry has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (79)

2024 (30)

2023 (8)

2022 (3)

2021 (5)

2020 (3)