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Ai Algorithm Engineer Jobs (NOW HIRING)

Research and apply emerging technologies in AI, machine learning, and deep learning. * Collaborate with multidisciplinary engineering teams to move concepts from research to production. * Document ...

Research and apply emerging technologies in AI, machine learning, and deep learning. * Collaborate with multidisciplinary engineering teams to move concepts from research to production. * Document ...

Research and apply emerging technologies in AI, machine learning, and deep learning. * Collaborate with multidisciplinary engineering teams to move concepts from research to production. * Document ...

Research and apply emerging technologies in AI, machine learning, and deep learning. * Collaborate with multidisciplinary engineering teams to move concepts from research to production. * Document ...

Research and apply emerging technologies in AI, machine learning, and deep learning. * Collaborate with multidisciplinary engineering teams to move concepts from research to production. * Document ...

Research and apply emerging technologies in AI, machine learning, and deep learning. * Collaborate with multidisciplinary engineering teams to move concepts from research to production. * Document ...

AI Vision Processors For Edge Applications Our solutions make cameras smarter by extracting valuable data from high-resolution video streams. Algorithm engineer interns at Ambarella are responsible ...

Advance control theory and data-driven AI-ML methods to improve estimation accuracy and robustness ... control algorithms * Mentor and grow engineers, raise the technical bar, and help influence ...

Advance control theory and data-driven AI-ML methods to improve estimation accuracy and robustness ... control algorithms * Mentor and grow engineers, raise the technical bar, and help influence ...

About Lyte Lyte builds perception systems for Physical AI operating in complex environments. The ... We are seeking a Systems Algorithm Engineer to lead the development of Lyte's advanced perception ...

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Algorithm Engineer

San Jose, CA · On-site

$140K - $260K/yr

The company works across air taxis, UAS, AI and powertrain development - building real-world ... We're seeking exceptional engineers, operators and builders to join us on our mission to build the ...

Algorithm engineer

Milpitas, CA · On-site

$129K - $153K/yr

At KLA, you will work on cutting-edge AI-powered inspection systems that enable breakthroughs in ... Join a high-performing team of PhDs, machine vision experts, and algorithm engineers, where you ...

Algorithm Engineer

Milpitas, CA · On-site

$114K - $195K/yr

Come join our high performing team consisting of PhDs, machine vision and algorithm engineers ... Hands-on experience with training ML/AI models that have been deployed in a product * Ability to ...

Algorithm Engineer

Milpitas, CA · On-site

$114K - $195K/yr

Come join our high performing team consisting of PhDs, machine vision and algorithm engineers ... Hands-on experience with training ML/AI models that have been deployed in a product * Ability to ...

Algorithm engineer

Milpitas, CA · On-site

$129K - $153K/yr

At KLA, you will work on cutting-edge AI-powered inspection systems that enable breakthroughs in ... Join a high-performing team of PhDs, machine vision experts, and algorithm engineers, where you ...

Algorithm Engineer

Milpitas, CA · On-site

$114K - $195K/yr

Come join our high performing team consisting of PhDs, machine vision and algorithm engineers ... Hands-on experience with training ML/AI models that have been deployed in a product * Ability to ...

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Ai Algorithm Engineer information

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$59.5K

$111.6K

$203K

How much do ai algorithm engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for ai algorithm engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 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.
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Infographic showing various Ai Algorithm Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Senior Staff AI/ML Algorithm Engineer

Irvine, CA • On-site

Becton, Dickinson and Company
Medical Equipment and Supplies Manufacturing • 10K+ employees

$112K - $154K/yr

Full-time

Re-posted 18 days ago


BD rating

7.3

Company rating: 7.3 out of 10

Based on 144 frontline employees who took The Breakroom Quiz


Job description

We are the people who give possibilities purpose
BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it's no small feat. It takes the imagination and passion of all of us-from design and engineering to the manufacturing and marketing of our billions of MedTech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities.
Job Description
We are seeking a highly experienced Senior Staff AI/ML Algorithm Engineer to help advance next-generation medical technologies for continuous physiological monitoring, disease detection, and predictive clinical decision support.
In this role, you will develop clinically meaningful algorithms using multi-modal healthcare data, including physiological sensor signals, medical device data, electronic health records, imaging data, and other real-world clinical datasets. You will work in a highly cross-functional environment with algorithm engineers, data scientists, clinicians, systems engineers, software teams, regulatory specialists, and product leaders to translate complex clinical and physiological problems into validated, deployable algorithmic solutions.
This is a senior technical role suited for an engineer with deep expertise in classical machine learning, modern AI/deep learning, physiological signal interpretation, and real-world deployment across both cloud-based platforms and edge medical devices.
Key Responsibilities
  • Lead the design, development, validation and deployment of AI/ML algorithms for continuous physiological monitoring, novel vital sign and physiological parameter development, disease detection and risk stratification and early warning systems.
  • Develop algorithms using multi-modal data sources, including physiological waveforms and time-series data such as PPG, blood pressure, capnography and other monitoring signals, bedside and wearable sensor data, electronic health records and structured clinical data, etc.
  • Apply advanced analytical approaches, including:
  • Classical machine learning models
  • Statistical modeling and probabilistic inference
  • Time-series modeling
  • Signal processing and feature engineering
  • Deep learning architectures
  • Multimodal AI models
  • Transformer-based models and foundation-model approaches where appropriate
  • Translate clinical and physiological understanding into robust algorithm design, including feature selection, model architecture, performance targets, and clinically interpretable outputs.
  • Build end-to-end algorithm development pipelines for data ingestion, signal quality assessment, annotation, feature extraction, model training, validation, robustness testing, and post-market performance monitoring where applicable.
  • Partner with clinical, medical affairs, regulatory, quality, and product teams to ensure algorithms are developed with appropriate clinical context, usability, safety, and regulatory considerations.
  • Develop and optimize algorithms for cloud environments and for edge or embedded medical devices, accounting for latency, memory, compute, power, cybersecurity, and reliability constraints.
  • Support verification, validation, documentation, risk analysis, and design controls for regulated medical technology products.
  • Contribute to intellectual property generation, technical strategy, research roadmaps, and external scientific engagement.
  • Mentor engineers and data scientists, provide technical leadership, and help establish best practices for healthcare AI algorithm development.

Required Qualifications
  • 10+ years of industry experience in AI/ML, algorithm development, biomedical signal processing, healthcare analytics, medical devices, or related technical areas.
  • Master's or PhD degree preferred in Electrical Engineering, Biomedical Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Computational Biology, or a related engineering or quantitative field.
  • Deep expertise in machine learning and AI model development, including both classical and modern approaches.
  • Strong hands-on experience with physiological time-series data, biomedical signals, medical device data, or clinical datasets.
  • Solid understanding of human physiology, especially as it relates to patient monitoring, cardiopulmonary function, hemodynamics, respiratory status, neurological monitoring, or acute care settings.
  • Demonstrated experience developing algorithms from early feasibility through productization or deployment.
  • Experience working with multi-modal healthcare data, such as sensor signals, EHR data, imaging data, lab data, and clinical outcomes.
  • Strong programming skills in Python and experience with ML/AI frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent tools.
  • Experience with cloud-based algorithm development and deployment using platforms such as Azure, AWS, or GCP.
  • Experience optimizing models for deployment on constrained environments, including embedded systems, edge devices, or near-real-time medical technology platforms.
  • Strong understanding of model evaluation, including sensitivity, specificity, AUROC, calibration, false alarm burden, clinical utility, robustness, and generalizability.
  • Excellent communication skills with the ability to explain complex technical concepts to engineering, clinical, regulatory, and business stakeholders.

Preferred Qualifications
  • Experience developing AI/ML algorithms for regulated medical devices, digital health products, clinical decision support tools, or Software as a Medical Device (SaMD).
  • Familiarity with medical device development practices, including design controls, risk management, verification and validation, human factors, clinical performance evaluation, and regulatory documentation.
  • Experience with relevant standards and regulatory frameworks such as FDA expectations for AI/ML-enabled medical devices.
  • Experience with signal quality assessment, artifact detection, missing-data handling, sensor fusion, uncertainty quantification, and explainable AI.
  • Familiarity with MLOps, model lifecycle management, version control, data governance, automated testing, and post-deployment monitoring.

At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting.
For certain roles at BD, employment is contingent upon the Company's receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD's Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law.
Why Join Us?
To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you'll discover a culture in which you can learn, grow and thrive.
We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.
To learn more about BD visit https://bd.com/careers.
Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.
Required Skills
Optional Skills
Primary Work Location
USA CA - Irvine Laguna Canyon
Additional Locations
Work Shift
At BD, we reward, support and develop our associates through our comprehensive Total Rewards program. We are committed to attracting and retaining high quality talent by providing reward and recognition opportunities that promote a performance-based culture, as well as a competitive package of compensation and benefits programs. You can learn more on our career site under "Our Commitment to You."
Our salary or hourly rate ranges reward associates fairly and competitively. We regularly review these ranges and factors, such as location, contribute to the range displayed.
Our pay is based on the role and the necessary skills and education to perform it successfully. The salary or hourly rate offered is determined by the role's specific requirements, including any applicable step rate pay system at the work location. Salary or hourly pay ranges are influenced by labor laws and Collective Bargaining Agreement (CBA) requirements applicable to the work location which may also affect the workplace arrangement of the role.
Salary Range Information
$146,000.00 - $233,600.00 USD Annual

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About BD

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BD is one of the largest global medical technology companies in the world and is advancing the world of health by improving medical discovery, diagnostics and the delivery of care. We have over 65,000 employees and a presence in virtually every country around the world to address some of the most challenging global health issues.

Industry

Medical equipment and supplies manufacturing and manufacturing

Company size

10,000+ Employees

Headquarters location

Franklin Lakes, NJ, US

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