Lead AI and ML Engineer job in New York, NY

Are you an expert in Artificial Intelligence and Machine Learning with a passion for leading cutting-edge innovation? We are looking for a Lead AI and ML Engineer to join a forward-thinking tech organization based in New York, NY. This is a unique opportunity to architect and deploy advanced AI/ML solutions that will shape the future of intelligent systems. If you’re a problem-solver with deep technical skills and a strategic mindset, this role offers the perfect platform to drive real-world impact.

Drive AI Innovation in the Heart of New York

A rapidly growing technology company in New York City is seeking a Lead AI and ML Engineer to spearhead the design and implementation of scalable machine learning models. The ideal candidate brings extensive experience in deep learning, natural language processing, and data science, combined with the leadership skills to mentor cross-functional teams. If you thrive on transforming big data into actionable intelligence, this is your chance to take the lead on pioneering projects that redefine what’s possible in AI.

Key Responsibilities of the Lead AI and ML Engineer – Technology & Innovation

AI/ML Strategy & Vision:
Define and execute the company’s AI and ML strategy aligned with business objectives. Drive innovation by identifying emerging technologies and integrating state-of-the-art algorithms to deliver scalable, impactful solutions.

Model Development & Deployment:
Design, build, and deploy advanced machine learning models and AI-driven systems across various domains such as recommendation engines, predictive analytics, and natural language processing. Ensure models are production-ready, accurate, and efficient.

Data Architecture & Engineering Collaboration:
Collaborate closely with data engineering teams to ensure data pipelines are robust, scalable, and optimized for training and inference. Establish data governance best practices and ensure high-quality datasets are available for modeling.

Performance Optimization:
Continuously evaluate and improve model performance using statistical metrics and real-world feedback. Implement A/B testing, model retraining pipelines, and monitoring systems to ensure accuracy and relevance over time.

Cross-functional Leadership:
Work with product managers, software engineers, and business leaders to translate complex problems into AI solutions. Lead cross-disciplinary teams in the development and implementation of data-driven features and capabilities.

Mentorship & Team Development:
Provide technical leadership and mentorship to junior engineers and data scientists. Foster a culture of continuous learning, innovation, and excellence within the AI/ML team.

Research & Innovation:
Stay abreast of cutting-edge research in AI and machine learning. Evaluate and adapt new frameworks, tools, and methodologies to maintain competitive advantage and drive R&D efforts.

Ethical AI & Compliance:
Ensure AI models are designed with fairness, transparency, and accountability. Mitigate bias, uphold privacy standards, and ensure adherence to ethical and legal guidelines in all AI applications.

Scalability & Infrastructure:
Develop infrastructure and tools that enable fast experimentation and reliable deployment of ML models at scale. Partner with DevOps and cloud teams to maintain efficient and secure AI systems.

Stakeholder Communication:
Translate technical findings into business insights and communicate effectively with stakeholders across the organization. Provide clear, data-backed recommendations that guide product strategy and business decisions.

What the Client is Looking for in You

As the Lead AI and ML Engineer, the client seeks a forward-thinking technical leader with deep expertise in machine learning, a strong engineering mindset, and the ability to deliver scalable AI solutions that drive real business impact. You should be both a hands-on innovator and a strategic collaborator who thrives in fast-paced, data-rich environments.

Proven Expertise in AI and Machine Learning

The client is looking for an accomplished engineer with a solid foundation in artificial intelligence, deep learning, and data science. You should have a proven track record of developing and deploying ML models in production environments, with strong proficiency in Python, TensorFlow, PyTorch, or similar frameworks. Experience in working with real-time systems, big data, or NLP applications will be highly valued.

Strategic Mindset with Technical Depth

As a technical leader, you must possess the vision to architect AI solutions that align with long-term business goals. The ideal candidate will be capable of translating complex problems into scalable, maintainable systems. The client values engineers who can balance hands-on implementation with high-level architectural planning and roadmap development.

Strong Collaboration and Cross-Functional Influence

The ability to work seamlessly with product managers, software engineers, and business leaders is essential. You should be skilled at gathering requirements, setting expectations, and integrating AI capabilities into cross-functional product roadmaps. Prior experience in leading interdisciplinary teams and mentoring junior team members is a strong advantage.

Passion for Innovation and Continuous Learning

The client seeks an individual who stays ahead of the curve by continuously exploring the latest research, frameworks, and technologies in the AI/ML space. You should be passionate about innovation and eager to implement new ideas that create measurable impact.

Data-Driven Decision Maker

You should be comfortable leveraging data to validate assumptions, optimize model performance, and communicate findings. The ability to design effective experiments, interpret results, and make decisions based on empirical evidence is key to this role.

Focus on Responsible and Ethical AI

A commitment to developing transparent, fair, and unbiased AI models is critical. The client values engineers who understand the societal impact of AI and prioritize ethical considerations, privacy, and regulatory compliance in all aspects of their work.

Operational and Deployment Excellence

The ideal candidate will have experience with deploying AI models at scale in cloud or hybrid environments. Familiarity with MLOps practices, version control, CI/CD pipelines, and model monitoring tools is essential to ensure reliability and maintainability post-deployment.

FAQs About the Role – Lead AI and ML Engineer – New York, NY

1. What are the key responsibilities of the Lead AI and ML Engineer in this role?
As the Lead AI and ML Engineer, you will be responsible for designing, developing, and deploying advanced machine learning and AI systems that align with the company’s strategic goals. Your role includes overseeing end-to-end model development, collaborating with cross-functional teams, mentoring junior engineers, and ensuring the ethical and scalable application of AI across products and platforms.

2. What qualifications and experience are required for this position?
The ideal candidate should have a strong academic and technical background in computer science, data science, or a related field, along with at least 5–8 years of hands-on experience in machine learning and AI. Proficiency in Python, TensorFlow, PyTorch, and cloud-based deployment (e.g., AWS, Azure, GCP) is essential. Experience in MLOps, big data technologies, and production-level deployment is highly preferred. A master’s or Ph.D. in a relevant field is advantageous but not required.

3. What skills and qualities are essential for success in this role?
Success in this role requires a combination of deep technical expertise and leadership capabilities. You should have strong problem-solving skills, a proactive mindset, and the ability to think strategically while executing tactically. Effective communication, a collaborative nature, and a passion for staying ahead in the AI/ML field are critical. Experience in mentoring, peer code reviews, and project leadership will be highly valued.

4. What challenges can I expect in this role?
You can expect to face challenges such as integrating AI into complex, real-time systems, balancing experimentation with scalable implementation, and ensuring data integrity and model fairness. Navigating ambiguity, optimizing models under strict performance constraints, and maintaining transparency in AI systems will also be part of the day-to-day responsibilities.

5. What impact is this role expected to have on the organization?
This role plays a crucial part in shaping the company’s technological direction and AI-driven offerings. Your contributions will directly influence product innovation, user experience, operational efficiency, and competitive advantage. You’ll be instrumental in establishing AI as a core strategic asset within the organization.

6. What is the team and work culture like?
The company fosters a dynamic, innovation-driven culture that encourages experimentation, collaboration, and continuous learning. You’ll work with a passionate team of engineers, data scientists, and product leaders in an agile, inclusive environment that values both technical excellence and business impact. The team is committed to building ethical AI solutions and leveraging technology for meaningful change.

What Remuneration Can You Expect from This Job?

As the Lead AI and ML Engineer based in New York, NY, you can expect a competitive compensation package that reflects your specialized skill set, leadership responsibilities, and the high demand for top AI/ML talent. This role offers a blend of base salary, performance-based bonuses, equity, and comprehensive benefits aimed at rewarding innovation and long-term impact.

1. Base Salary

The base salary for a Lead AI and ML Engineer in New York typically ranges between $160,000 and $220,000 annually, depending on experience, technical expertise, and the size and stage of the company. Candidates with niche AI experience or deep learning specialization may command salaries on the higher end of the range or beyond.

2. Performance-Based Bonuses

Most compensation packages include annual bonuses tied to performance metrics, such as successful deployment of AI models, business impact, and innovation. Bonus percentages typically range from 10% to 25% of the base salary, with top performers eligible for higher incentive structures.

3. Equity & Stock Options

Many technology firms offer equity incentives as part of their total compensation package. This may include stock options, Restricted Stock Units (RSUs), or performance shares, aligning your success with the company’s growth and valuation. Equity packages can significantly enhance total earnings, especially in startups or high-growth companies.

4. Long-Term Incentive Plans (LTIPs)

For senior engineering roles, long-term incentive plans may be offered to reward sustained technical contributions and strategic leadership. These plans are often tied to multi-year milestones such as system scalability, product innovation, or AI infrastructure development.

5. Comprehensive Benefits

You can also expect a full suite of employee benefits, including:

Health, dental, and vision insurance
401(k) plans with employer matching
Paid time off (PTO) and sick leave
Professional development budgets
Wellness stipends and tech allowances
Flexible/hybrid work options (where applicable)

6. Signing Bonuses & Relocation Support

In some cases, especially for candidates relocating to New York or transitioning from a competing offer, signing bonuses or relocation assistance may be included. Signing bonuses typically range from $10,000 to $30,000, depending on the candidate’s profile and negotiation.

Total Compensation Potential

When combining base salary, bonuses, equity, and benefits, the total annual compensation for a Lead AI and ML Engineer in New York can range from $180,000 to $350,000+, particularly in companies with strong equity offerings or revenue-based incentives. High-growth startups and established tech firms may offer even more attractive long-term wealth-building opportunities.

How to Apply

If you are a skilled and forward-thinking technologist with a passion for AI and machine learning, we invite you to apply for the Lead AI and ML Engineer role in New York, NY. This is a rare opportunity to lead the design and deployment of intelligent systems that will shape the future of innovation across industries.

To apply, please submit your updated resume along with a cover letter detailing your experience in machine learning model development, deployment in production environments, and collaboration across cross-functional teams. Highlight your technical expertise in AI/ML frameworks, your leadership in driving strategic AI initiatives, and your ability to deliver scalable solutions that create real business impact.

This role offers a high-impact career opportunity where you’ll work on cutting-edge projects, influence technical roadmaps, and be at the forefront of responsible AI innovation. Apply today to take the next step in your advanced engineering career as a Lead AI and ML Engineer in New York.

For more information or to explore similar roles, visit our AI & ML Engineer Recruiters page.

Job Category: AI & ML Engineer

Job Type: Full Time

Job Location: New York

Lead AI and ML Engineer job in New York, NY