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Ai Algorithm Engineer Jobs in New York (NOW HIRING)

Pivotal Solutions

Senior AI Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Algorithm Development: Design and implement state-of-the-art generative AI algorithms, such as GANs, VAEs, Transformers, and other deep generative models, to enhance media buying decisions. Algorithm ...

Lancesoft

AI/ Automation Engineer

White Plains, NY · On-site

$65 - $70/hr

AI/ Automation Engineer Location: White Plains, NY Duration: 12+ Months Pay Range: $65.00 to $70.00 ... AI algorithms and models to enhance automation capabilities and improve decision-making processes ...

Tiger Analytics Inc.

Senior AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

Design and implement AI algorithms and models to solve real-world problems. * Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose ...

Tiger Analytics Inc.

Senior AI Engineer

Jersey City, NJ · Remote

$109K - $149K/yr

Design and implement AI algorithms and models to solve real-world problems. * Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose ...

Genius Sports

AI Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... Develop and compose models, algorithms, and inference pipelines that convert sports data into ...

Genius Sports

AI Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role - AI Engineer, Sports AI We're looking for an AI Engineer on our Sports AI team to ... Develop and compose models, algorithms, and inference pipelines that convert sports data into ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Key Responsibilities: • Architect and refine sophisticated ML models and algorithms, translating ...

Adidev Technologies Inc

AI/ML

Hoboken, NJ · On-site

AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas ... Execute data preprocessing, feature engineering, and algorithm optimization to enhance model ...

Accord Technologies Inc.

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Senior AI Engineer Location: Piscataway, NJ (Hybrid from day one) Local to NJ candidates are ... Leverage solid knowledge of data structures, algorithms, and distributed systems to optimize ...

Capital One

Lead AI Engineer (AI Foundations)

Manhattan, NY

$112K - $148K/yr

Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable ... Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search ...

Capital One

Lead AI Engineer (AI Foundations)

New York, NY

$112K - $147K/yr

Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable ... Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search ...

Capital One

Lead AI Engineer (AI Foundations)

Manhattan, NY

$112K - $148K/yr

Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable ... Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search ...

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Ai Algorithm Engineer information

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in New York? For Ai Algorithm Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in New York look for? The top searched job categories for Ai Algorithm Engineer jobs in New York are:
What cities in New York are hiring for Ai Algorithm Engineer jobs? Cities in New York with the most Ai Algorithm Engineer job openings:
Ai Algorithm Engineer jobs near you
Infographic showing various Ai Algorithm Engineer job openings in New York as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Senior AI Engineer

Pivotal Solutions

Manhattan, NY • On-site

$115K - $158K/yr

Full-time

Re-posted 10 days ago

Job description


As a Senior AI Engineer, you will be a key player in the design, development, and implementation of cutting-edge generative AI models and systems. Drawing on your expertise in machine learning, deep learning, and generative algorithms, you will help advance our organization's AI capabilities. This role requires a strong understanding of both theoretical concepts and practical applications, as well as the ability to provide technical leadership in developing such solutions.
Responsibilities:
Algorithm Development: Design and implement state-of-the-art generative AI algorithms, such as GANs, VAEs, Transformers, and other deep generative models, to enhance media buying decisions. Algorithm Development: Develop large-scale recommender systems based on GNN embeddings and similar methodologies to optimize media buying decisions. Optimize and refine existing algorithms to improve performance, scalability, and efficiency. Lead the training and evaluation of generative models on extensive datasets. Develop methods for assessing model performance and making improvements based on feedback. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate generative AI into various applications. Mentor and guide junior team members.
Requirements
Qualifications:
A minimum of 5 years of experience in machine learning or related fields. At least 2 years of experience in generative AI or related areas. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar. Expertise in generative models, neural networks, and reinforcement learning. Advanced degree (Ph.D. or equivalent) in Computer Science, Machine Learning, or a related field, or a proven track record in the field. Demonstrated ability to lead and mentor a team of AI engineers. Strong communication skills to convey complex concepts to both technical and non-technical stakeholders. An analytical mindset to solve complex problems and provide innovative solutions. Adaptability to evolving technologies and methodologies in the fast-paced field of AI.

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