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.

(USA) Optometrist Pre-Grad Intern - Walmart

Company: Walmart

Location: Shirley, NY

Posted Jan 24, 2025

The role involves supporting optical care and services to customers, including obtaining measurements, verifying prescriptions, and counseling. Clinical care is also provided by diagnosing customers and managing treatment of visual problems. The position requires maintaining the optical area, ensuring it aligns with company policies and standards, and providing excellent customer service. Leadership expectations include respect for individuals, acting with integrity, serving the customer, and striving for excellence. Walmart offers competitive pay, benefits including health, financial, and paid time off, and education benefits through Live Better U.

Tax Manager

Company: Outbrain

Location: New York, NY

Posted Jan 24, 2025

Retail Sales Associate - Elmwood S/C

Company: Gap Inc.

Location: New Orleans, LA

Posted Jan 24, 2025

Trading Operations Associate

Company: Brooklyn Investment Group

Location: New York City, NY

Posted Jan 24, 2025

Brooklyn Investment Group, an SEC-registered Investment Adviser, utilizes advanced technology from its parent company, Brooklyn Artificial Intelligence Research, to create personalized portfolios for clients. The company has traded over $5 billion in the past five years. The Trading Operations Associate role involves managing trading tasks, supervising reconciliation processes, and serving as a client-facing point of contact. The ideal candidate should have at least 2 years of experience in equities portfolio management, trading, or investment operations, and familiarity with block and algorithmic trading, financial data manipulation, and Order Management Systems.

Backroom Associate - Sam's Club

Company: Walmart

Location: Fishkill, NY

Posted Jan 24, 2025

Store Manager In Training

Company: CVS Health

Location: New Rochelle, NY

Posted Jan 24, 2025

CVS Health is offering a Store Manager In Training (SMIT) program, a 16-week development role designed to prepare individuals for a CVS Store Manager position. The program includes self-paced, collaborative training with virtual and hands-on learning experiences. Key aspects of the role involve effective communication, customer care, merchandising strategies, and inventory management. CVS Health supports growth and offers a competitive pay range, comprehensive benefits, and various well-being programs. The company values its employees and communities, providing medical, dental, vision benefits, 401(k) retirement savings plan, and more.

Financial Investigation Unit (FIU) Transaction Monitoring Investigator

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Meta is hiring a Transaction Monitoring Investigator to assist the Payments Compliance Team. The role involves reviewing platform transaction activity for potential red flags, conducting investigations into customer activities, and ensuring compliance with policies and procedures. The ideal candidate should have a Bachelor's Degree, 3+ years of experience in compliance or internal control function at a financial services organization, and experience conducting AML Transaction Monitoring investigations. The role offers a competitive salary, bonus, equity, and benefits. Meta is committed to equal employment opportunities and providing reasonable accommodations for candidates with disabilities.

FullStack

Company: Infosys

Location: Mexico City, Mexico

Posted Jan 24, 2025

The job posting is for a Full Stack Engineer position requiring strong proficiency in front-end development technologies (React, Angular, Vue.js) and back-end languages (Java, Python, Node.js). The role involves designing, developing, and maintaining scalable web applications, collaborating with cross-functional teams, and ensuring code quality through testing. Familiarity with cloud platforms (AWS, Azure, GCP), DevOps practices, and software development methodologies (Agile, Scrum) is essential. Knowledge of microservices architecture, security best practices, and data engineering concepts is a plus. The position is located in Toluca/CDMX with a hybrid work scheme.

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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