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.

Learning Specialist - Hybrid (Night Shift)

Company: Thermo Fisher Scientific

Location: Bonifacio Global City, Philippines

Posted Jan 24, 2025

The job posting is for a Learning Specialist working in a hybrid environment on a night shift from 8pm to 5am PHT. The role involves partnering with internal and external partners to deliver training programs via the LMS, collaborating with the LMS Sustainment team, and addressing training-related requests. The ideal candidate should have a Bachelor's degree, strong English communication skills, proficiency in Microsoft Office, and LMS administration experience. The position offers an opportunity to contribute significantly to the organization's learning and development initiatives.

Trauma and Acute Care Surgery Physician Assistant

Company: Dartmouth Health

Location: Lebanon, New Hampshire

Posted Jan 24, 2025

Dartmouth Hitchcock Medical Center in Lebanon, NH is seeking a full-time Physician Assistant for the Trauma & Acute Care Surgery team. The role involves inpatient care for trauma and emergency general surgery patients, working collaboratively with a multidisciplinary team. Daily responsibilities include patient evaluation, care plan creation, coordination with consultant services, and discharge planning. The position offers educational opportunities in a Level I Trauma Center, including lecture series and daily rounds with attending physicians. Minimum requirements include 2-4 years of advanced practice provider experience, inpatient medicine or surgical service experience, and academic medical center experience. Desired traits include dedication to high-quality patient care, team orientation, self-motivation, and eagerness to learn.

Quantitative Analyst, Compliance Trade Surveillance Model Tuning & Predictive Analytics (Vice President)

Company: TD Bank

Location: New York, NY

Posted Jan 24, 2025

TD Securities is seeking a Quantitative Analyst for their Global Compliance Department in New York, NY. The role involves developing and tuning surveillance behavioral models, predictive risk scoring, and automated quality assurance tools using NLP. The ideal candidate should have a degree in a quantitative field and expertise in machine learning, statistical analysis, and trade surveillance. The position offers competitive compensation, growth opportunities, and a supportive work environment. TD Securities, post-Cowen Inc. acquisition, is a global leader in capital markets, offering a wide range of services to corporate, government, and institutional clients.

Senior FCRM KYC High Risk Reviews Analyst

Company: TD Bank

Location: New York, NY

Posted Jan 24, 2025

TD Bank US Holdings is seeking a Senior Financial Crime Risk Oversight Analyst for their Financial Crime Risk Management (FCRM) Know Your Customer (KYC) Program Team. The role involves providing research, guidance, and oversight to ensure strong AML/ATF/Sanctions/ABAC controls and processes are in effect. The primary responsibility is to execute enhanced due diligence (EDD) reviews for high-risk customers. The ideal candidate should have an undergraduate degree and 5+ years of experience, preferably with ACAMS certification. They should possess strong knowledge of AML KYC and EDD processes and regulations, along with excellent written and verbal communication skills. The role involves providing guidance on AML/ATF/Sanctions/ABAC matters, conducting research and risk assessments, and developing and implementing AML/ATF/Sanctions/ABAC policies. The successful candidate will also contribute to the development of the KYC Program and collaborate with business and control partners within the organization.

ISV Alliance Director

Company: Palo Alto Networks

Location: New York, NY

Posted Jan 24, 2025

Palo Alto Networks is seeking an experienced Technology Alliances Partner Sales Director to spearhead the expansion of their co-selling ecosystem. The role involves collaborating with sales leadership and cross-functional teams to drive strategic partnerships with industry-leading Independent Software Vendors (ISVs). The ideal candidate should have 10+ years of experience in technology alliances, partner management, or business development roles within the Security software industry, with a focus on ISV partnerships. They should possess a strong understanding of the cybersecurity market landscape and a 'sales' mentality. The role requires excellent presentation skills and a track record of creating impactful artifacts. The company is committed to providing reasonable accommodations for all qualified individuals with a disability and is an equal opportunity employer.

(USA) Pharmacy Tech Certified Sam's, FT

Company: Walmart

Location: Oklahoma City, OK

Posted Jan 24, 2025

Manager, Group Risk - US

Company: TD Bank

Location: New York, NY

Posted Jan 24, 2025

TD Securities is seeking a VP Risk professional for their New York office, offering a competitive salary range of $115,000 - $185,000 USD. The role involves leading the assessment of market risks, providing capital risk management activities, and ensuring compliance with US and OSFI regulations. The ideal candidate should have a 4-year degree in a quantitative or financial field, 7-10 years of related analytical experience, and strong problem-solving skills. TD Securities emphasizes growth opportunities, skill development, and a positive work environment.

Retail Sales Associate - 86th & Lexington

Company: Gap Inc.

Location: New York, NY

Posted Jan 24, 2025

Old Navy, a fashion retailer since 1994, is seeking a Brand Associate. The role involves providing excellent customer service, promoting loyalty programs, engaging customers for sales, and maintaining a clean work environment. The ideal candidate is a good communicator, customer-focused, passionate about retail, a problem solver, flexible with scheduling, and able to use retail technology. Benefits include merchandise discounts, competitive PTO, volunteer time, extensive 401(k), health insurance, and more. Old Navy is committed to diversity and inclusion.

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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