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.

Medical Assistant - Primary Care

Company: Providence Swedish

Location: Fall City, WA

Posted Jan 24, 2025

Providence Health Services is seeking a Medical Assistant II (MA II) to work under the delegation of a licensed practitioner. The MA II will perform all aspects of the MA I role and is expected to perform in accordance with established policies, procedures, and regulations. Providence values its caregivers, offering a culture of patient-focused, whole-person care. The role requires graduation from an accredited medical assistant school, Washington Medical Assistant Certification upon hire, BLS certification, 6 months of healthcare experience, and 6 months of medical assistant experience. Providence provides comprehensive benefits, including a retirement 401(k) Savings Plan, health care benefits, life insurance, disability insurance, time off benefits, and more. The MA II will be part of the Providence Clinical Network, serving patients across seven states with quality, compassionate, coordinated care.

Lead Software Engineer - Full Stack

Company: Capital One

Location: Mexico City, Mexico

Posted Jan 24, 2025

Capital One is seeking a Lead Software Engineer in Mexico City, Mexico. The role involves leading a portfolio of technology projects, collaborating with digital product managers, and delivering robust cloud-based solutions. The ideal candidate should have at least 4 years of software engineering experience, 1 year in cloud computing, and proficiency in languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go. Capital One values diversity and equal opportunities, and the role requires Mexican citizenship or permanent residency.

Medical Assistant - Sports Medicine

Company: Providence Swedish

Location: Fall City, WA

Posted Jan 24, 2025

Providence Health Services is seeking a Medical Assistant II (MA II) to work under the delegation of a licensed practitioner, assisting in patient care. The MA II will perform all duties of an MA I and is expected to be fully competent in clinical needs/functions. Providence values its caregivers, offering a culture of patient-focused, whole-person care. Required qualifications include coursework/training from an accredited school for medical assistants or equivalent, Washington Medical Assistant Certification upon hire, National Provider BLS - American Heart Association within 30 days, 6 months of healthcare and medical assistant experience. Preferred qualifications include National Medical Assistant Certification. Providence offers comprehensive benefits and fosters an inclusive workplace.

Patient Care Technician

Company: DaVita

Location: Deer Park, NY

Posted Jan 24, 2025

Patient Care Technician

Company: DaVita

Location: Niagara Falls, NY

Posted Jan 24, 2025

Retail Sales Associate

Company: Staples

Location: Watertown, NY

Posted Jan 24, 2025

Enterprise Financial Risk Sr. Specialist

Company: Merrill

Location: New York, NY

Posted Jan 24, 2025

Bank of America is seeking a Chief Risk Officer (CRO) for the Chief Financial Officer (CFO) Group. The role involves delivering effective independent risk management of capital, liquidity, and interest rate risks. Key responsibilities include identifying, measuring, monitoring, controlling, reporting, and analyzing financial risks across the company. This includes markets risk, liquidity risk, and capital risk. The role also involves providing independent risk oversight of front-line units, lines of business, and control functions. The ideal candidate should have strong analytical skills, portfolio analysis, risk analytics, data & trend analysis, decision making, oral and written communications, and regulatory compliance skills. The role is based in either Jersey City, NJ or New York, NY, with a pay range of $81,400.00 - $124,500.00 annualized salary.

Operations Manager

Company: nVent

Location: League City, TX

Posted Jan 24, 2025

Banking Associate {Niskayuna}

Company: TD Bank

Location: Schenectady, NY

Posted Jan 24, 2025

Associate

Company: Wipro

Location: Cebu City, Philippines

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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