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Ai Algorithm Engineer Jobs in Newark, NJ (NOW HIRING)

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 ...

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 ...

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 ...

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 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 ...

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 ...

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 ...

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 ...

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

See Newark, NJ salary details

$62.2K

$116.7K

$212.3K

How much do ai algorithm engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for ai algorithm engineer in Newark, NJ is $116,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $138,600.00 per year, depending on experience, location, and employer.

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 Newark, NJ?

For Ai Algorithm Engineer jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Ai Algorithm Engineer jobs in Newark, NJ look for?

The top searched job categories for Ai Algorithm Engineer jobs in Newark, NJ are:

Senior AI Engineer

Manhattan, NY • On-site

$115K - $158K/yr

Full-time

Re-posted yesterday


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.