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.

Store manager in Training 1169

Company: CVS Health

Location: Garden City, NY

Posted Jan 25, 2025

TEST

Company: Tapestry - Coach, Kate Spade, and Stuart Weitzman

Location: New York City, NY

Posted Jan 25, 2025

Tapestry Inc. is an inclusive and innovative global house of brands that values individuality and creativity. They believe in making dreams happen and fostering a culture where employees' voices are valued, ambitions are supported, and work is recognized. The company is committed to equity, inclusion, and diversity. Tapestry's competencies for all employees include courage, creativity, customer focus, dealing with ambiguity, drive for results, and interpersonal savvy. They also have specific competencies for people managers, including strategic agility, developing direct reports, and building effective teams.

Rep 1, Cust Svc Video Repair

Company: Spectrum

Location: Buffalo, NY

Posted Jan 25, 2025

Technical Success Specialist

Company: Bubble

Location: New York City, NY

Posted Jan 25, 2025

Bubble is a revolutionary no-code platform that enables users to build complex web applications without coding. With a user base of over 3 million in 100 countries, Bubble has raised a $100 million Series A and is one of the fastest-growing companies in the New York tech ecosystem. The Technical Success team, which acts as technical advisors and problem solvers for key customers, is seeking a high-achieving recent college graduate to support the sales team, participate in video calls with prospects, and provide consultative guidance. The ideal candidate should embody Bubble's values, have customer-facing experience, and possess strong technical skills.

Director, Amazon

Company: Tapestry - Coach, Kate Spade, and Stuart Weitzman

Location: New York City, NY

Posted Jan 25, 2025

Coach, a global fashion house founded in New York in 1941, seeks a Director Amazon Marketplace to drive its business on Amazon. The role involves creating a strategic vision for Coach's growth potential, building a team, identifying opportunities for streamlining work, and nurturing high potential talent. The ideal candidate should possess strong strategic vision, organizational framework development skills, analytical skills, and proficiency in Excel and retail math. They should also have customer service experience, excellent communication skills, and be a team player. The role reports into the Vice President Retail and Wholesale North America and requires a deep understanding of the business, customer, and high level strategic and organizational agility.

Teller {56th & 1st} 20 Hours

Company: TD Bank

Location: New York, NY

Posted Jan 25, 2025

Senior Machine Learning Platform Engineer

Company: Hinge

Location: New York City, NY

Posted Jan 25, 2025

Hinge, a dating app, is seeking an experienced ML backend engineer to join its AI Platform Core team. The role involves designing and contributing to a budding ML platform, accelerating the development, deployment, and operations of AI-enabled features. The ideal candidate should have 3+ years of experience in ML backend, data, or platform engineering, proficiency in Python, Go, or Java, and a degree in computer science or a related field. The role offers opportunities for professional growth, parental leave, fertility support, a date stipend, and free access to Udemy. Hinge values authenticity, courage, empathy, and diversity.

Staff Software Engineer

Company: NBCUniversal

Location: New York City, NY

Posted Jan 25, 2025

NBCUniversal is seeking a Staff Software Engineer to lead the development of innovative new systems and solutions using emerging technologies. The role involves rapid development of prototypes, maintaining backend systems, integrating front end systems, upholding high code quality, creating documentation, collaborating with multidisciplinary teams, deploying to cloud-based platforms, and utilizing tools for code and test generation. The ideal candidate should have 8+ years of full stack development experience, expertise in modern JavaScript, frontend frameworks, web design principles, backend technologies, serverless architectures, and Terraform. Desired characteristics include competence in secured internal network environments, familiarity with integrating large language models and conversational AI, proven adaptability, effective communication skills, and ability to translate business needs into technical requirements. The position is fully remote and eligible for company-sponsored benefits.

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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