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.

Software Dev Engineer I

Company: Optimum

Location: New York City, NY

Posted Jan 27, 2025

Optimum, a leading provider of connectivity solutions, is seeking a passionate and engaged SDE I DevOps Toolchain to join their team. The role involves contributing to the software development tools roadmap, implementing CICD pipelines, and improving testing practices. The ideal candidate should have a Bachelor's degree in computer science, minimum 23 years of experience in software development, and proficiency in various programming languages. Optimum values Taking Ownership, Upholding Transparency, Creating Community, and Demonstrating Expertise, and offers competitive pay based on skills and experience.

Software Dev Engineer II

Company: Optimum

Location: New York City, NY

Posted Jan 27, 2025

Optimum, a leading provider of connectivity solutions, is seeking a passionate and experienced SDE II DevOps Toolchain Engineer. The role involves contributing to the software development tools strategy, implementing CICD pipelines, and improving testing practices. The ideal candidate should have a Bachelor's degree in computer science, minimum 35 years of experience in software development, automation, and tools, and proficiency in various programming languages. Optimum values Taking Ownership, Upholding Transparency, Creating Community, and Demonstrating Expertise, and offers competitive pay based on skills and experience.

Sales Development Representative

Company: Red Points

Location: New York City, NY

Posted Jan 27, 2025

Red Points, a leading solution for recovering digital revenue, is seeking a sales professional with 13 years of experience. The role involves prospecting and sourcing brands, strategizing with the AE team, and conducting high-level conversations with senior executives. The company offers a competitive compensation package, including employer-paid insurance, uncapped commissions, and a flexible work environment. Red Points recently raised $20 million and became a B Corp Certified company, demonstrating a commitment to a safer and more sustainable Internet.

Registered Nurse

Company: DaVita

Location: Queens, NY

Posted Jan 27, 2025

Manager Broadband Development

Company: Optimum

Location: New York City, NY

Posted Jan 27, 2025

Optimum, a leader in connectivity, is seeking a Manager of Embedded Broadband Development. The role involves leading a team to develop, enhance, and maintain embedded software for broadband devices, focusing on advanced technologies like DOCSIS, PON, and WiFi. The ideal candidate should have a Bachelor's or Master's degree in Computer Science or Electrical Engineering, 10+ years of experience in embedded software development, and expertise in networking protocols. The position offers a competitive salary range of $133,661 - $219,586 per year, based on skills and experience. Optimum values Taking Ownership, Upholding Transparency, Creating Community, and Demonstrating Expertise, fostering a culture of collaboration, innovation, and continuous learning.

Market Development Representative

Company: Slang.ai

Location: New York City, NY

Posted Jan 27, 2025

Slangai is a company that specializes in conversational AI for the restaurant industry, aiming to revolutionize customer engagement. They value innovation, inclusivity, and growth, fostering a culture where employees feel valued and connected to the company's AI-driven impact. As a Market Development Representative, you'll drive outbound growth by prospecting businesses that fit their Ideal Customer Profile, using various channels to spark interest. You'll collaborate with internal teams to ensure a seamless customer journey. Slangai offers a supportive, collaborative, and growth-oriented environment, with opportunities for learning and development. Success in this role involves prospecting, active listening, collaboration, disciplined execution, and exceeding targets. The company values overachievers, learners, humble individuals, and experts in SMBs.

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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