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Machine Learning Ai Developer Jobs in Massachusetts

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

DeepRec.ai

Machine Learning Engineer (LLM)

Boston, MA

$170K - $200K/yr

You'll collaborate closely with data science, DevOps, and leadership to shape the AI infrastructure ... machine learning solutions. What We're Looking For Essential Skills & Experience * Strong ...

Roberts Recruiting

AI Developer

Boston, MA

Robotics, human-robot interaction, game development, agent AI, autonomous planning, machine learning, probabilistic reasoning, etc. * Strong programming skills, preferably with JavaScript ...

Autodesk

Machine Learning Engineering Manager

Boston, MA · On-site

$148K - $266K/yr

AI is the future of design and make, and Autodesk is pioneering the transformation of the AEC ... machine learning engineering or related field * 3+ years of experience as a manager * Experience ...

The Hollister Group

AI Developer

Boston, MA · On-site

$70 - $110/hr

AI Developer We are The Hollister Group , the Boston area's leading women-owned staffing firm. We ... Design, build, and deploy AI and machine learning solutions leveraging Large Language Models (LLMs ...

Amazon

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...

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Machine Learning Ai Developer information

How much do machine learning AI developers make?

Machine Learning AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries. Many positions also require proficiency in programming languages like Python and experience with frameworks such as TensorFlow or PyTorch.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and often involve managing large teams or strategic projects.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What engineers make $500,000?

Senior machine learning and AI engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized knowledge and impact on business outcomes.

Which 3 jobs will survive AI?

For a Machine Learning AI Developer, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and AI system trainers. These jobs involve tasks that are difficult to automate fully and often require domain expertise, critical thinking, and ethical judgment. Continuous learning and staying updated with AI tools and frameworks are essential for long-term career resilience.
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What job categories do people searching Machine Learning Ai Developer jobs in Massachusetts look for? The top searched job categories for Machine Learning Ai Developer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Ai Developer jobs? Cities in Massachusetts with the most Machine Learning Ai Developer job openings:
Machine Learning Ai Developer jobs near you

Machine Learning Engineer

Nanite Inc.

Boston, MA • On-site

Full-time

Posted 9 days ago

Job description

Our mission is to deliver the undeliverable.
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial technical role in generating cell culture and transfection data. The candidate will work with senior leadership and partner projects gaining broad internal and external exposure.
Essential Functions and Duties
  • Design and implement complex data engineering processes to support innovative data science modeling
  • Collaborate with chemistry and biology research teams to design data pipelines, analyze experimental data and implement experimentally actionable feed-back loops
  • Apply and deploy established and novel statistical and machine learning algorithms to explore, understand and optimize properties of the vast delivery vehicle space, both in silico and experimentally
  • Develop robust, scalable workflows and maintain security controls to protect sensitive data across cloud and on-premise environments
  • Coordinate with cross-functional teams to deploy models and communicate results and with a focus on computational efficiency, performance, and usability
  • Design of repositories, CI/CD pipelines and integration tests for ML workflows

Qualifications
MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry, or a related discipline with 2 years hands-on machine learning experience.
Knowledge, Skills, and Abilities
  • Track record developing statistical and machine learning models for complex and unconventional real-life problems
  • Strong mathematical and coding skills
  • Proficiency in Python, MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with SQL and AWS.
  • Familiarity with ML workflow best practices.
  • Interest in applications of machine learning in biotechnology
  • Strong communication skills, both written and verbal
  • Experience doing research and working with interdisciplinary teams

Additional Preferred Experience (desired, but not essential):
  • Experience in an industry setting related to biotechnology, chemicals, or materials manufacturing
  • Experience with cheminformatics, computational chemistry, computational biology databases, data structures, material science and modelling package

Computer and modeling work required, this is an on-site position based in the Seaport of Boston, MA.

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