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.

Account Executive

Company: Xplor Technologies

Location: Salt Lake City, UT

Posted Feb 03, 2025

Xplor is a company that provides cloud-based technology solutions to small and medium-sized businesses, enabling them to manage various aspects of their operations. They are currently seeking an experienced Account Executive to join their team, specifically for the development of business management software for the dry cleaning industry. The role involves scaling the client base, managing the entire sales process, and providing product demonstrations to high-level clients. The ideal candidate should have a proven track record in sales, experience with software sales, and proficiency in using CRM systems like Salesforce. Xplor values empathy, honesty, and a tenacious work ethic. The position offers a base salary range of $60000 to $70000 and is fully remote, with eligibility based on working rights and time zone overlap. Xplor is committed to diversity, inclusion, and providing benefits such as gender-neutral parental leave, GiveBackDays, and mental health support.

ReSurge Program: Marketing Analyst

Company: Eaton

Location: Syracuse, NY

Posted Feb 03, 2025

Registered Nurse RN

Company: DaVita

Location: New Haven, CT

Posted Feb 03, 2025

(USA) Optician Single License

Company: Walmart

Location: Niagara Falls, NY

Posted Feb 03, 2025

Head of Sales Development

Company: Insider

Location: New York City, NY

Posted Feb 03, 2025

Insider, a B2B SaaS company specializing in Customer Experience and Marketing, is seeking a sales leader with 7+ years of SaaS experience. The company, recently funded with $500M Series E, offers a single platform for unique experiences, AI-driven predictions, and efficient productivity. Insider has been recognized as a leader in various reports and awards, including The Forrester Wave and G2's 2024 Software Awards. The role involves training, coaching, and leading a sales team, developing strategies, and managing the country's pipeline to meet revenue targets. The company values diversity, inclusivity, and offers competitive benefits, including a generous stock option package and a well-defined career roadmap.

Principal Partner Solutions Architect, Rovo AI

Company: Atlassian

Location: New York, NY / Remote

Posted Feb 03, 2025

Finance Intern - Summer 2025

Company: Flex

Location: Salt Lake City, UT

Posted Feb 03, 2025

(USA) Personal Shopper Lead - Sam's

Company: Walmart

Location: Kansas City, MO

Posted Feb 03, 2025

Sr. iOS Engineer - Kohler Ventures

Company:

Location: New York, NY

Posted Feb 03, 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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