Machine Learning Jobs in New York City, NY

416,650 open positions · Updated daily

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.

Enterprise Strategic Account Specialist, Healthcare

Company: Spectrum

Location: Troy, NY

Posted Feb 03, 2025

View Details Apply on The Muse

Teller I (30 Hours Weekly) Lake Ronkonkoma

Company: TD Bank

Location: Long Island, NY

Posted Feb 03, 2025

View Details Apply on The Muse

Quant Analytics Senior Associate

Company: JPMorgan Chase

Location: Bonifacio Global City, Philippines

Posted Feb 03, 2025

View Details Apply on The Muse

Pest Technician 1

Company: Rentokil Terminix

Location: Queens, NY

Posted Feb 03, 2025

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Dialysis Registered Nurse - Will Train - Must have RN License

Company: DaVita

Location: New Orleans, LA

Posted Feb 03, 2025

View Details Apply on The Muse

Maintenance Technician

Company:

Location: Kansas City, MO

Posted Feb 03, 2025

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Lead Data Scientist

Company:

Location: Missouri City, TX

Posted Feb 03, 2025

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Software Engineer II

Company:

Location: New York, NY

Posted Feb 03, 2025

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Director, Business Development - Insurance

Company: EPAM Systems

Location: New York, NY

Posted Feb 03, 2025

View Details Apply on The Muse

Lead Data Scientist

Company:

Location: Missouri City, TX

Posted Feb 03, 2025

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Sleep Expert - Sales

Company:

Location: Kansas City, MO

Posted Feb 03, 2025

View Details Apply on The Muse
nextgeneration management consulting firm unique blend of AI and design capabilities superior value to our clients

SiaXperience Senior Project Manager

Company: Sia Partners

Location: New York City, NY

Posted Feb 03, 2025

Sia Partners is a global management consulting firm with a unique blend of AI and design capabilities. They offer superior value to clients across 30+ sectors, with a focus on innovative CSR solutions. SiaXperience, their experience design agency, is a leader in creative and design consulting services. The company values excellence, entrepreneurship, innovation, teamwork, care, support, and employee wellbeing. The Senior Project Manager role involves leading marketing and advertising initiatives, managing complex projects, aligning client expectations, mentoring team members, making strategic decisions, and ensuring financial stewardship. Success is measured by planning precision, workflow mastery, client success, exceeding expectations, team synergy, and company prosperity. Qualifications include a minimum of 45 years of project management experience, a focus on digital marketing or interactive web experiences, and proficiency in project management tools and digital marketing analytics platforms.

View Details Apply on BuiltIn

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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