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.

Associate Director/Director of Facilities

Company: Zeta Charter Schools

Location: New York, NY

Posted Jan 24, 2025

Zeta, a New York-based educational institution, is seeking an Associate Director/Director of Facilities with a passion for team success and continuous improvement. The role involves leading and managing all aspects of Zeta's facilities work, including setting operational objectives, managing large projects, and maintaining up-to-date building documentation. Zeta is committed to providing world-class education, fostering a love for learning, and changing the landscape of public education. The company offers competitive compensation, benefits, and a supportive work environment, emphasizing professional growth and a commitment to diversity and equity.

Software Engineer, Android

Company: Meta

Location: New York, NY

Posted Jan 24, 2025

Meta, the company behind Facebook, Instagram, WhatsApp, and Messenger, is seeking full-time Android Developers. The role involves leading complex technical efforts, providing mentorship, and working closely with product and design teams to build innovative Android applications. The ideal candidate should have 8+ years of programming experience, 2+ years in Android app development using Java and Android SDK, and experience in driving change within an organization. Meta offers competitive compensation, benefits, and the opportunity to work on cutting-edge technologies in a fast-paced industry.

Cloud & Infrastructure Service Management Manager- Northeast

Company: Accenture

Location: New York, NY

Posted Jan 24, 2025

Accenture is a leading company in cloud transformations, partnering with major cloud platforms like AWS, Azure, Google, and private clouds such as VMWare. Their $3 billion investment in Accenture Cloud First over three years underscores their commitment to delivering value to clients. With a multi-service group of over 70,000 cloud professionals, they offer a full stack of integrated cloud capabilities. Accenture's services cover a wide spectrum, from strategy to service management, and they emphasize responsible business practices, including security, data privacy, and ethics. The role involves leading or participating in teams to design, build, and test Service Management, Cloud Management, and Infrastructure automation solutions.

Baker and Packager Associate

Company: Walmart

Location: Troy, NY

Posted Jan 24, 2025

Director of Marketplace

Company: Boxed

Location: New York, NY

Posted Jan 24, 2025

Senior Product Manager

Company: LogRocket

Location: New York, NY

Posted Jan 24, 2025

Produce Associate

Company: Walmart

Location: Calumet City, IL

Posted Jan 24, 2025

Sales Agent - Insurance

Company: AAA Club Alliance

Location: Oklahoma City, OK

Posted Jan 24, 2025

High School Dean of STEM

Company: Great Oaks Charter Schools

Location: New York, NY

Posted Jan 24, 2025

Great Oaks Charter Schools, a New York City-based institution, is dedicated to preparing students for college success. The school stands out due to its unique instructional support system, the Great Oaks Fellows, who offer individualized daily support to students. The school's mission is rooted in mastery, leadership, and community principles, emphasizing project-based learning, equity, and holistic student development. The Dean of STEM position, a key leadership role, is currently open. The ideal candidate should be an experienced educational leader with a strong background in Science and Math, capable of fostering a data-driven instruction culture and promoting academic growth.

Manager, Sales Enablement

Company: Smarsh

Location: New York City, NY

Posted Jan 24, 2025

Smarsh, a leading company in managing risk and unleashing intelligence in digital communications, is seeking a Manager of Enterprise Sales Enablement. The role involves developing and implementing strategic sales enablement programs, training sales teams, and collaborating with cross-functional teams. The ideal candidate should have a Bachelor's degree, 3+ years of enterprise sales enablement experience, and proficiency in sales enablement platforms and CRM systems.

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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