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Ai Algorithm Engineer Jobs in New York (NOW HIRING)

Precision Neuroscience

DSP Algorithm Engineer

Manhattan, NY · On-site

$157K - $183K/yr

DSP Algorithm Engineer Precision Neuroscience is building a next-generation brain-computer ... Our team brings together experts in neurosurgery, AI and machine learning, microfabrication ...

New

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.

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 ...

Ampcus Inc

AI/ Automation Engineer

White Plains, NY · On-site

... Engineer. This role involves designing, developing, and deploying scalable automation solutions ... 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 ...

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 ... Architect and refine sophisticated ML models and algorithms, translating complex datasets into ...

Page Group

Senior Software AI Engineer

Manhattan, NY · On-site

$175K - $220K/yr

The Senior Software AI Engineer will play a critical role in developing advanced AI-driven ... Description Develop and implement AI algorithms and models to improve business processes and ...

Nashville Public Radio

AI Engineer

Manhattan, NY · On-site

Evaluate model performance and optimize algorithms for accuracy and efficiency. * Integrate AI ... Collaborate with software engineers, data scientists, and other technical teams. * Research ...

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 ...

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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:

Ai Algorithm Engineer jobs near you
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.

DSP Algorithm Engineer

Manhattan, NY • On-site

Precision Neuroscience
1 - 10 employees
Learn more about Precision Neuroscienceexternal

$157K - $183K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

DSP Algorithm Engineer

Precision Neuroscience is building a next-generation brain–computer interface (BCI) to heal and empower millions of people living with neurological conditions. Our team brings together experts in neurosurgery, AI and machine learning, microfabrication, electrical engineering, clinical science, and more. We combine deep technical rigor with a people-first mindset to turn breakthrough research into real-world medical solutions. As a Precision employee, you'll join one of the fastest-moving and best-capitalized companies in the emerging field of brain–computer interfaces. Since our founding in 2021, we have raised more than $180 million, advanced our technology through validation, and initiated human trials with leading hospitals across the country.

We are seeking a DSP Algorithm Engineer to analyze and improve our end-to-end signal processing chain, in collaboration with microfabrication, FW, ML, and SW teams. In this role, you will work closely with EE design engineers, as well as FW, ML, and SW engineers to analyze and improve end-to-end BCI signal acquisition systems. This position will be based in one of the following Precision offices: Santa Clara, New York, Chicago, or Boston. We are unable to consider remote workers or individuals who are not currently based in the US and are not legally authorized to work in the US.

Key Responsibilities

  • End-to-end sensor signal chain analysis, from sensor elements to ML feature extraction
  • Analysis and design of advanced signal processing methods for signal acquisition improvements, such as adaptive filters for interference rejection
  • Correlation and modeling of practical device performance vs bench device performance

Skills, Knowledge and Expertise

  • Strong understanding of analog and digital signal processing (filters, sampling, analog to digital conversion), including statistical signal processing (adaptive filters, estimation and detection theory)
  • Solid knowledge of analog signal processing imperfections, such as noise, interference, component variations. Experience modeling of analog imperfections is a plus.
  • Knowledge of control systems and feedback fundamentals
  • Experience with system modeling and simulation frameworks (Python / MATLAB / Simulink / SystemC / SystemVerilog)
  • Experience with embedded signal processing, including fixed-point optimization for FPGA or DSP implementation
  • Working knowledge of ML frameworks (PyTorch)
  • Knowledge of digital communication fundamentals and SERDES is a plus
  • Experience with on-device ML is a plus

Diverse workforces create the best culture, company, and products. We at Precision are committed to an inclusive culture that celebrates the uniqueness and contributions of everyone. As an equal opportunity employer, Precision does not discriminate on the basis of sex, race, religion, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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