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Ai Developer information
See Massachusetts salary details
$43.7K - $55.5K
1% of jobs
$55.5K - $67.2K
4% of jobs
$67.2K - $79K
2% of jobs
$79K - $90.7K
4% of jobs
$90.7K - $102.5K
5% of jobs
$113.5K is the 25th percentile. Wages below this are outliers.
$102.5K - $114.3K
9% of jobs
$114.3K - $126K
9% of jobs
$126K - $137.8K
10% of jobs
The median wage is $146.6K / yr.
$137.8K - $149.6K
9% of jobs
$149.6K - $161.3K
6% of jobs
$166K is the 75th percentile. Wages above this are outliers.
$161.3K - $173.1K
41% of jobs
$43.7K
$141.3K
$173.1K
How much do ai developer jobs pay per year?
What does an AI developer do?
An AI Developer designs, builds, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data science technologies to develop applications such as chatbots, recommendation systems, or automation tools. AI Developers often use programming languages like Python and frameworks like TensorFlow or PyTorch. Their role involves training models, optimizing performance, and deploying AI solutions in real-world environments.
What are the key skills and qualifications needed to thrive as an AI developer?
To thrive as an AI Developer, you need a solid understanding of machine learning algorithms, programming languages such as Python or Java, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms, and certifications in AI or data science are common requirements. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These skills are essential for designing accurate, efficient AI models and collaborating successfully across interdisciplinary teams.
How do I become an AI developer?
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For Ai Developer jobs in Massachusetts, the most frequently searched job titles are:
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Cities in Massachusetts with the most Ai Developer job openings:

Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 29 days ago
Job description
The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
Our team is dedicated to developing advanced medical technologies to address critical defense and civilian medical challenges, with a particular focus on improving austere and battlefield medicine. As part of our mission, we aim to create impactful solutions that enhance medical care in resource-limited and high-stakes environments, ultimately saving lives and improving outcomes. As a member of our team, you will play a key role in advancing this mission by applying cutting-edge signal/image processing, deep learning, and data analysis techniques to develop AI-enabled system prototypes. You will collaborate with multi-disciplinary teams of engineers, scientists, and clinicians to design and evaluate innovative medical imaging devices and human performance technologies. This position offers the opportunity to work on groundbreaking projects that push the boundaries of medical technology, contributing to solutions that address some of the most pressing challenges in defense and civilian healthcare.
- M.S. in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree. Applicants with a B.S. and 5 or more years of relevant industry or research experience will also be considered.
- Strong technical expertise in both the theory and practical applications of deep learning model development and deployment on operational systems
- Expertise in biomedical signal and image processing
- Proficiency in algorithm development (Python, MATLAB) for extraction, conditioning, and exploration of biomedical datasets
- Ability to produce clear, concise, and professional project reports, as well as contributions to technical and scientific publications
Preferences:
- Experience in software development and deployment on edge platforms
- Familiarity with medical ultrasound systems
Recent Graduate Hiring Range: $116,400 - $140,000
Experienced Hiring Range: $116,400 - $182,200
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
- Comprehensive health, dental, and vision plans
- MIT-funded pension
- Matching 401K
- Paid leave (including vacation, sick, parental, military, etc.)
- Tuition reimbursement and continuing education programs
- Mentorship programs
- A range of work-life balance options
- ... and much more!
Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 43170
About MIT Alumni Association
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Cambridge, MA, US
Year founded
1875