Machine Learning Jobs in New York City, NY

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Looking for Machine Learning jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the New York City, NY area.

Sr. Data Analyst

Company: VTS3

Location: New York City, NY

Posted Jan 29, 2025

The job posting is for a Senior Data Analyst position with a focus on machine learning and advanced analytics. The role involves designing, maintaining, and optimizing data systems, analyzing complex data sets, and developing machine learning algorithms. The ideal candidate should have a Bachelor's degree in a relevant field, proficiency in SQL, Python, and PySpark, and expertise in MLOps, NLP, and large language models. The position offers opportunities for innovative work, collaboration, and career growth. A referral program is also available, offering up to $50,000 for successful referrals.

SY 25-26 High School Science Teacher

Company: School in the Square

Location: New York, NY

Posted Jan 29, 2025

A strong relationship builder, you get personal fulfillment by teaching and coaching students in both academic and non-instructional situations, respecting and…

Senior Director DevOps & Cloud Engineering

Company: Madison Square Garden Entertainment Corp.

Location: New York City, NY

Posted Jan 29, 2025

Madison Square Garden Entertainment Corp (MSG Entertainment) is seeking a Senior Director of DevOps & Cloud Engineering. The role involves leading the organization's cloud and DevOps strategy, managing a team of DevOps engineers, and ensuring high-quality, timely delivery of complex technical solutions. The ideal candidate should have a Bachelor's degree in Computer Science or a related field, 15+ years of technology leadership experience, and extensive experience with public cloud services providers, particularly AWS. They should also have a deep understanding of IT financial structures and strong negotiating and problem-resolution skills. MSG values diversity and offers robust tools and resources for employee growth and development.

Business Technology Solutions Associate Consultant- Adobe AEP

Company: ZS

Location: New York City, NY

Posted Jan 29, 2025

ZS is a management consulting and technology firm that values its employees and fosters a diverse and inclusive environment. The company focuses on improving life and how we live it by partnering with clients to develop custom solutions and technology products. ZSers work collaboratively with internal and client teams to implement high-quality technology solutions addressing critical business problems. The role requires a Bachelors or Masters degree in a related field, 3+ years of experience in delivering technology solutions, and proficiency in programming languages like Python, JavaScript, and SQL. Strong analytical and problem-solving skills, as well as excellent communication abilities, are essential. ZS offers a comprehensive total rewards package, flexible work arrangements, and opportunities for professional growth and development.

Sr. Analyst, Data Analytics

Company: Tapestry - Coach, Kate Spade, and Stuart Weitzman

Location: New York City, NY

Posted Jan 29, 2025

Tapestry, a global house of brands including Coach, Kate Spade, and Stuart Weitzman, is seeking a Sr. Analyst Data Science Analytics. The role involves applying advanced analytics and data science to drive growth, improve customer experiences, and make business decisions. The ideal candidate should have 3+ years of hands-on analytics experience, proficiency in SQL, data visualization tools like Tableau, Python or R, and Google Analytics/BigQuery. They should possess strong communication skills, the ability to work cross-functionally, and a proven track record of leveraging analytics for revenue-driving initiatives. Tapestry values diversity, equity, and inclusion, and the role offers a competitive base pay range of $90,000 to $105,000 annually.

Sales Support Coordinator

Company: Thomson Reuters

Location: Mexico City, Mexico

Posted Jan 30, 2025

Field Technician

Company: Spectrum

Location: Traverse City, MI

Posted Jan 30, 2025

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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