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Associate Artificial Intelligence Machine Learning Jobs in Brookline, MA

Strong technical background and deep understanding of Machine Learning with practical experience in ... About the Director, Artificial Intelligence job: Pay, Benefits and more: * Competitive compensation ...

Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing Qualifications: * Bachelor's degree ...

Artificial Intelligence (AI) Engineer

Boston, MA · On-site

$105K - $144K/yr

About the Role The Artificial Intelligence Engineer is responsible for developing and implementing ... generative AI, machine learning, and deep learning techniques and identifies opportunities to ...

Artificial Intelligence (AI) Engineer

Boston, MA · On-site

$105K - $145K/yr

About the Role The Artificial Intelligence Engineer is responsible for developing and implementing ... generative AI, machine learning, and deep learning techniques and identifies opportunities to ...

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Associate Artificial Intelligence Machine Learning information

See Brookline, MA salary details

$34.1K

$144K

$340.3K

How much do associate artificial intelligence machine learning jobs pay per year?

As of Jul 28, 2026, the average yearly pay for associate artificial intelligence machine learning in Brookline, MA is $143,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $218,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Artificial Intelligence Machine Learning professional, and why are they important?

To thrive as an Associate Artificial Intelligence Machine Learning professional, you need a solid background in mathematics, statistics, and computer science, typically with a relevant degree and familiarity with machine learning concepts. Proficiency in programming languages like Python or R, experience with frameworks such as TensorFlow or PyTorch, and knowledge of version control systems are commonly required. Strong problem-solving, analytical thinking, and effective communication skills help differentiate top performers in this role. These skills are crucial for developing accurate models, collaborating with multidisciplinary teams, and driving impactful AI solutions.

What is the difference between Associate Artificial Intelligence Machine Learning vs Data Scientist?

AspectAssociate Artificial Intelligence Machine LearningData Scientist
Required CredentialsBachelor's in CS, AI, or related; certifications in ML/AIBachelor's/Master's in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, R&D labs, startupsData-driven organizations, consulting firms, tech companies
Employer & Industry UsageAI/ML teams, product developmentData analysis, predictive modeling, business insights
Common Search & ComparisonYesYes

Associate Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often with entry-level responsibilities. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require knowledge of programming and statistics, Data Scientists typically have more advanced degrees and focus on data analysis, whereas Associate AI/ML roles are more specialized in AI/ML model development.

What does an Associate Artificial Intelligence Machine Learning professional do?

An Associate Artificial Intelligence Machine Learning (AI/ML) professional assists with the development, testing, and deployment of AI and machine learning models. They typically work under the supervision of senior data scientists or machine learning engineers, helping to preprocess data, select algorithms, and evaluate model performance. Their responsibilities may also include writing code, analyzing results, and supporting the integration of models into applications or systems. This entry-level role is ideal for those who have foundational knowledge in AI/ML concepts and are looking to gain practical, hands-on experience in the field.

What are some common challenges faced by Associate Artificial Intelligence Machine Learning professionals in their first year, and how can they overcome them?

Associate AI/ML professionals often encounter challenges such as understanding complex datasets, adapting to rapidly evolving tools and frameworks, and bridging the gap between theoretical knowledge and practical application. Collaborating closely with senior team members, seeking mentorship, and participating in code reviews are effective ways to overcome these challenges. Additionally, staying updated with industry trends and continuously practicing model building on real-world problems can help associates gain confidence and accelerate their learning curve.
What job categories do people searching Associate Artificial Intelligence Machine Learning jobs in Brookline, MA look for? The top searched job categories for Associate Artificial Intelligence Machine Learning jobs in Brookline, MA are:
Vice President Artificial Intelligence

Vice President Artificial Intelligence

Plymouth Rock Assurance Corporation

Boston, MA • On-site

$400K - $600K/yr

Full-time

Posted 28 days ago


Plymouth Rock Assurance rating

8.5

Company rating: 8.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

104th of 299 rated insurance


Job description

The Vice President Artificial Intelligence will be responsible for defining, governing, and scaling the company's artificial intelligence strategy to drive underwriting excellence, claims efficiency, operational productivity, and superior customer outcomes. As a member of the executive leadership team, the Vice President will ensure that AI initiatives are aligned with business strategy, regulatory expectations, ethical standards, and risk management frameworks specific to the property & casualty insurance industry.

This role will lead the transition from experimentation to enterprise-grade AI, embedding advanced analytics, machine learning, and generative AI across core insurance functions while ensuring transparency, fairness, security, and compliance. The ideal candidate will combine deep expertise in artificial intelligence with strong strategic vision, exceptional communicative and persuasive skills, and an ability to lead transformative projects from inception to execution. An advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Data Science, or a related field, is preferred.Unusuallyhigh levelsof energy, motivation, and determination are alsopreferred.

In this role, you will:

  • Define and execute a multi-year enterprise AI strategy aligned with corporate objectives, growth plans, and risk appetite.
  • Serve as executive owner of AI vision, roadmap, investment prioritization, and value realization.
  • Propose AI strategies that align with the company's overall business objectives and identify opportunities where AI can drive innovation, efficiency, and business transformation.
  • Collaborate with senior executives, department heads, and cross-functional teams to align AI initiatives with company goals.
  • Build and develop a high-performing team of 25 AI/ML professionals to design, implement, and scale advanced AI and machine learning solutions.

Salary Range:

The base salary for this position ranges from $400,000 to $600,000 annually, with substantial additional compensation components that could potentially double the total compensation package.

About Plymouth Rock

Founded in 1982 and headquartered in Boston, writing approximately $2.5 billion in annual premiums, Plymouth Rock is a privately held insurer specializing in automobile and home insurance. Plymouth Rock considers itself to be the "largest of the entrepreneurial insurers" and the "smallest of the large insurers." We blend the agility, innovation, and growth potential of a dynamic startup with the resources, stability, and security of a well-established organization.

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