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Ai Algorithm Engineer Jobs in New York (NOW HIRING)

YO AI Labs

AI Engineer - Remote

New York, NY · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

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 · On-site

$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)

Manhattan, NY · On-site

$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 · On-site

$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)

New York, NY · On-site

$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 · On-site

$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)

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 · On-site

$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)

New York, NY · On-site

$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)

New York, NY · On-site

$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 ...

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Ai Algorithm Engineer information

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 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 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.

Is an AI Algorithm Engineer still in demand?

AI Algorithm Engineers are currently in high demand due to the rapid growth of artificial intelligence applications across industries such as technology, healthcare, and finance. Skills in machine learning, deep learning, and programming languages like Python or TensorFlow are highly valued, and the role often requires staying updated with the latest research and tools. Employment prospects remain strong as organizations continue to invest in AI innovation and automation.

What is the salary of AI Algorithm Engineer?

The salary of an AI Algorithm Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher compensation, often exceeding $180,000.

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:

Infographic showing various Ai Algorithm Engineer job openings in New York as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

AI Algorithms Research Scientist-Vice President

Manhattan, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

$170K - $260K/yr

Full-time

Medical, Retirement

Posted 13 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description


Are you looking for an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area? This is a unique opportunity for you to work with the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co. The goal of GTAR is to design and conduct research across multiple frontier technologies, in order to enable novel discoveries and inventions, and to inform and develop next-generation solutions for the firm's clients and businesses.
As an AI Algorithms Research Scientist, Vice President, within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will advance the algorithmic foundations of modern AI - the methods that determine how efficiently large language models and agentic systems learn, reason, and run at scale. You will develop novel algorithms and establish their theoretical foundations, implement them in performant software, provide novel research solutions to problems faced by internal project teams, and contribute to JPMC's IP by pursuing necessary protections of generated IP.
Job Responsibilities
  • Advance the algorithmic foundations of large-scale AI and their applications to model training, inference, and agentic systems.
  • Develop novel algorithms that improve the accuracy, latency, and compute cost of large language model and agentic workloads.
  • Establish the theoretical grounding of the methods you develop, including convergence, approximation quality, and sample- and compute-efficiency.
  • Implement the developed algorithms in performant software and validate them at scale.
  • Provide novel research solutions to problems faced by internal project teams.
  • Work with other researchers to document your findings in scientific papers and present them at conferences.
  • Contribute to JPMC's IP by pursuing necessary protections of generated IP.

Required qualifications, capabilities, and skills
  • Ph.D. degree in computer science, mathematics, physics, electrical engineering, statistics, or related fields, with at least 2 years of experience (industry or postdoc).
  • Demonstrated research ability in AI/ML algorithms, optimization, or theory.
  • A deep foundation in optimization, probability, linear algebra, and learning theory. and experience in scientific technical writing.
  • Proficiency in Python, and C/C++ or CUDA for performance-critical work.
  • Experience developing performant codes.
  • Strong communication skills and the ability to present findings to a non-technical audience.
  • Experience in one or more of the following domains:
  • Efficient learning and inference (e.g., quantization and low precision, sparsity and pruning, distillation, low-rank and structured approximations, speculative decoding, KV-cache optimization)
  • Optimization (e.g., stochastic and second-order methods, optimizer and preconditioner design, training dynamics)
  • Foundations of scale (e.g., scaling laws, compute-optimal training, stability of large-model training)
  • Hardware-algorithm co-design (e.g., algorithms designed around accelerator memory hierarchy, bandwidth, and numerical precision)

Preferred qualifications, capabilities, and skills
  • Preference is given to candidates with a strong publication record (example venues include but are not limited to NeurIPS, ICML, ICLR, COLT, STOC, FOCS, ISCA, HPCA).
  • Experience with GPU/accelerator programming and profiling (e.g., CUDA, Triton, Nsight).
  • Contributions to open-source ML systems, libraries, or performance-critical code.
  • No prior familiarity with finance or financial use cases is required.
  • Preference given to candidates who include a link to their Google Scholar or Semantic Scholar profile in their resume.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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