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.

Registered Nurse RN

Company: DaVita

Location: New Haven, CT

Posted Jan 24, 2025

IT Support (Satellite)

Company: Per Scholas

Location: New York, NY

Posted Jan 24, 2025

Per Scholas is a national non-profit offering free tech career training. They provide hands-on learning, mentorship, and industry-recognized certifications. Learners receive support for financial control and career planning. The Satellite IT Support courses offer Google IT Support Professional Certificate and CompTIA A+ certification, preparing learners for entry-level tech jobs. Per Scholas partners with local organizations to expand reach and accessibility.

CDL Driver Merchandiser

Company: Coca-Cola

Location: Panama City, FL

Posted Jan 24, 2025

Product Manager, Consumer

Company: Robinhood

Location: New York, NY

Posted Jan 24, 2025

Robinhood Markets, a leading fintech company, is hiring for multiple Product Manager positions. The company aims to democratize finance for all, offering accessible financial markets and services. Product Managers will lead teams to develop products that improve customer lives, working with various departments to understand customer needs and establish a product vision. The role requires a bachelor's or master's degree, 4+ years of product management experience, and familiarity with research, experimentation, and product analytics. Robinhood offers competitive compensation, benefits, and a lively office environment. The company values diversity and inclusivity, seeking growth-minded individuals passionate about financial products and improving people's financial lives.

Family Outreach Associate (Queens)

Company:

Location: New York, NY

Posted Jan 24, 2025

Zeta, a New York City-based charter school network, is seeking a Family Outreach Associate. The role involves engaging with prospective families, coordinating community outreach, and building relationships with local organizations. The ideal candidate should have a Bachelor's Degree, sales or customer service experience, and proficiency in English and Spanish or Mandarin. Zeta is committed to providing world-class education, fostering a love for learning, and changing the landscape of public education. The position offers a salary range of $64,500 to $75,000, along with comprehensive benefits and perks.

Senior Cloud Engineer

Company: Thomson Reuters

Location: Mexico City, Mexico

Posted Jan 24, 2025

Senior Associate, Product Manager-Retail Bank

Company: Capital One

Location: New York, NY

Posted Jan 24, 2025

Capital One is seeking a Senior Associate, Product Manager for their Retail Bank. The role involves working with cross-functional teams to deliver consumer experiences, focusing on understanding customer needs and using technology to solve financial problems. The ideal candidate is curious, a do-er, passionate, a communicator, a wrangler, and fearless. They should have at least 2 years of experience in digital industry, working with cross-functional teams, and on core product platforms. The company offers competitive salary, excellent benefits, and a supportive leadership environment. The role is based in McLean, VA or New York, NY with salary ranges of $109,000 - $124,400 and $118,900 - $135,700 respectively.

Production Designer - Messenger Design System

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Meta is seeking a Production Design lead for the Messenger Design System team. The role involves building a world-class design system for a product used by 800 million users, working with industry-leading colleagues, and influencing user experience at scale. The ideal candidate should have prior industry experience in production design, proficiency in Figma, and familiarity with iOS, Android, and web design standards. They will work closely with product designers, content designers, and engineers to ensure high-quality, consistent, and cohesive design system components. The role offers a competitive salary, bonus, equity, and benefits.

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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