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.

3D Artist, Horizon

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Meta is seeking a 3D Artist for its Horizon Experiences Art Team. The role involves creating world-class products for virtual spaces, honing the skills of the Art Team, and collaborating with cross-functional teams. The ideal candidate should have 8+ years of experience in the video-games industry, real-time production experience, and knowledge of 3D modelling and asset creation packages. The position offers a salary between $149,000/year and $205,000/year, plus bonus, equity, and benefits.

Pharmacy Pre-Grad Intern - WM

Company: Walmart

Location: Oklahoma City, OK

Posted Jan 24, 2025

The job involves ensuring confidentiality of information and providing pharmacy products and services to customers. This includes processing prescription and OTC orders, stocking supplies, maintaining paperwork, and promoting products. Customer service is a key aspect, involving acknowledging customers, assisting with purchases, resolving issues, and maintaining a safe environment. The role also involves operating equipment, receiving and stocking merchandise, and maintaining the Pharmacy area. Walmart offers competitive pay, performance-based bonuses, and various benefits including health, financial, and paid time off benefits. The position requires enrollment in an accredited Pharmacy school.

Veterinary Assistant - 001062

Company: Banfield Pet Hospital

Location: Saratoga Springs, NY

Posted Jan 24, 2025

Registered Nurse RN

Company: DaVita

Location: New London, CT

Posted Jan 24, 2025

DaVita, an outpatient dialysis center, is seeking a full-time Registered Nurse (RN) in New London, Connecticut. The role involves providing exceptional care to patients with end-stage renal failure or chronic kidney disease. No dialysis experience is required, as comprehensive training is provided. The nurse will build long-term relationships with patients and their families, work in a positive team environment, and oversee patient care with support from PCTs. DaVita offers a competitive rewards package, including benefits like medical, dental, vision, 401(k) match, and paid time off.

Field Service Representative

Company: Schneider Electric

Location: New York, NY

Posted Jan 24, 2025

Schneider Electric is offering a U.S.-based Field Service Representative position with a compensation range of $51,200 - $76,800 per year. The role involves servicing critical data center equipment, performing assembly, startup, diagnostic, repair, and preventive maintenance. The company provides comprehensive benefits, including medical, dental, vision insurance, 401(k) + match, and flexible work arrangements. The ideal candidate should have an Associate degree, vocational education, or similar experience in electronics, electrical theory, or military training. They should also have 2+ years of field service repair and customer service experience. Schneider Electric emphasizes its commitment to diversity, inclusion, and ethical practices.

Engineering Manager

Company: Upside

Location: New York, NY

Posted Jan 24, 2025

Retail Sales Associate, Full Time (Product Operations) - Chautauqua

Company: Gap Inc.

Location: Jamestown, NY

Posted Jan 24, 2025

Old Navy is a fashion brand that aims to democratize style and make shopping enjoyable. Established in 1994, it offers high-quality, affordable essentials for the whole family. The company values authenticity, fostering a playful community and providing a premium customer experience. In this role, you'll engage customers, provide excellent service, and educate them about products and loyalty programs. Old Navy offers competitive benefits including merchandise discounts, paid time off, and extensive health insurance.

Medical Assistant

Company: Providence Swedish

Location: Fall City, WA

Posted Jan 24, 2025

Senior .NET Developer

Company: EPAM Systems

Location: Mexico City, Mexico

Posted Jan 24, 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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