Machine Learning Engineer Jobs in Massachusetts

Machine Learning Engineer Jobs in Mumbai

Massachusetts is recognized as a global tech hub, particularly in the Boston area, which is home to numerous technology companies and research institutions. The state’s thriving innovation ecosystem makes it an attractive destination for machine learning engineers. These professionals are sought after by a range of companies, including startups, tech giants, and research institutions.

Companies Hiring Machine Learning Engineers

Alphabet Inc. (Google)

Requirements:

Master’s degree in Computer Science or related field.
Proficiency in Python, R, and TensorFlow.
Experience with natural language processing.
Strong analytical and problem-solving skills.

Apply Here: Careers

Amazon

Requirements:

Bachelor’s degree in Computer Science, Machine Learning, or a related technical field.
Experience in deploying ML models at scale.
Knowledge of AWS services related to AI/ML.
Excellent coding skills in Python or Java.

Apply Here: Careers

IBM

Requirements:

Advanced degree in Machine Learning, AI, or Data Science.
Experience with IBM Watson, Python, and Scala.
Demonstrated ability in building and scaling models in business settings.

Apply Here: Careers

Microsoft

Requirements:

Bachelor’s degree in Engineering, Mathematics, or Computer Science.
Expertise in machine learning frameworks like PyTorch and TensorFlow.
Strong coding skills in C++ and Python.

Apply Here: Careers

HubSpot

Requirements:

Bachelor’s degree in Computer Science, Statistics, or related field.
Proficiency in Python and SQL.
Experience with machine learning algorithms and data modeling.
Ability to translate business challenges into data pipelines & model frameworks.

Apply Here: Careers

Wayfair

Requirements:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Proficiency in Python or Java.
Knowledge of machine learning, algorithms, and computational complexity.
Experience with big data technologies such as Hadoop, Spark, or Kafka.

Apply Here: Careers

Biogen

Requirements:

PhD in a quantitative field such as Computational Biology, Bioinformatics, or Computer Science.
Experience in machine learning and statistical data analysis.
Proficiency in programming languages like Python or R.
Familiarity with biological data resources and databases.

Apply Here: Careers

Akamai Technologies

Requirements:

Master’s degree in Computer Science, Mathematics, or related field.
Strong knowledge of machine learning, neural networks, or related fields.
Proficiency in Python, Java, or C++.
Experience with TensorFlow, Keras, or similar technologies.

Apply Here: Careers

MathWorks

Requirements:

Advanced degree in engineering, mathematics, computer science, or related field.
Experience with MATLAB and Simulink.
Strong foundation in algorithms, linear algebra, and statistical modeling.
Ability to design practical algorithms and implement them efficiently.

Apply Here: Careers

Bose Corporation

Requirements:

Master’s degree in Electrical Engineering, Computer Science, or related field.
Experience with signal processing, machine learning, and artificial intelligence.
Proficiency in Python, C++, and MATLAB.
Strong problem-solving skills and innovation in audio technology.

Apply Here: CareersCareers

Dell EMC

Requirements:

Bachelor’s degree in Computer Science, Information Technology, or related field.
Strong experience with Python, Java, and machine learning libraries.
Proficiency in using big data technologies like Hadoop and Spark.
Excellent problem-solving and analytical skills.

Apply Here: Careers

Thermo Fisher Scientific

Requirements:

Master’s degree in Data Science, Computer Science, or a related field.
Deep knowledge of machine learning, data mining, and statistical techniques.
Experience with Python, R, and SQL.
Ability to work with large, complex data sets.

Apply Here: Careers

Draper

Requirements:

PhD in Engineering, Physics, Computer Science, or related fields.
Expertise in algorithm development, machine learning, and/or artificial intelligence.
Strong programming skills in Python, MATLAB, or similar.
Experience with sensor data processing and fusion.

Apply Here: Careers

Raytheon Technologies

Requirements:

Bachelor’s degree in Aerospace, Systems Engineering, Computer Science, or related field.
Proficiency in machine learning techniques and tools.
Experience with Python and C++.
Strong analytical skills and ability to work on complex projects.

Apply Here: Careers

Vertex Pharmaceuticals

Requirements:

PhD in Computational Biology, Bioinformatics, Computer Science, or related field.
Strong background in machine learning and statistical data analysis.
Proficiency in Python, R, and relevant data science libraries.
Experience in handling genomic data is a plus.

Apply Here: Careers

Moderna Therapeutics

Requirements:

Advanced degree in Bioinformatics, Computer Science, or related field.
Experience with machine learning models and computational algorithms.
Strong programming skills in Python and familiarity with cloud computing.
Knowledge of genomics and molecular biology is beneficial.

Apply Here: Careers

Analog Devices

Requirements:

Master’s degree in Electrical Engineering, Computer Science, or related field.
Experience with machine learning, signal processing, and neural networks.
Proficiency in Python or C++.
Experience with embedded systems is a plus.

Apply Here: Careers

PTC

Requirements:

Bachelor’s degree in Computer Science, Engineering, or a related field.
Proficiency in machine learning frameworks such as TensorFlow or PyTorch.
Strong programming skills in Java, Python, or JavaScript.
Experience with IoT and AR/VR technologies is beneficial.

Apply Here: Careers

LogMeIn

Requirements:

Bachelor’s or Master’s degree in Computer Science or a related technical field.
Expertise in predictive modeling, NLP, and AI.
Proficiency in programming languages like Python and Scala.
Experience with big data tools and platforms.

Apply Here: Careers

Ginkgo Bioworks

Requirements:

PhD in Computational Biology, Bioinformatics, or a closely related field.
Proficient in machine learning algorithms and data analysis.
Strong coding skills in Python and experience with bioinformatics tools.
Experience in genetic engineering is an advantage.

Apply Here: Careers

SimpliSafe

Requirements:

Bachelor’s degree in Computer Science, Data Science, or related fields.
Strong experience in machine learning and statistical modeling.
Proficiency in Python and SQL.
Experience with real-time decision systems.

Apply Here: Careers

Akili Interactive

Requirements:

Master’s degree in Neuroscience, Psychology, Computer Science, or related field.
Deep understanding of machine learning and cognitive computing.
Experience with programming languages such as Python and R.
Interest in gaming or interactive media is a plus.

Apply Here: Careers

Cogo Labs

Requirements:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
Expertise in machine learning, data mining, and predictive modeling.
Strong programming skills in Python or R.
Experience with big data technologies and tools.

Apply Here: Careers

Formlabs

Requirements:

Degree in Computer Science, Mechanical Engineering, or related field.
Strong experience with machine learning algorithms and CAD software.
Proficiency in Python, C++, or other programming languages.
Background in 3D printing technology is beneficial.

Apply Here: Careers

Boston Dynamics

Requirements:

Master’s degree or PhD in Robotics, Computer Science, or a related technical field.
Proficiency in machine learning, especially in robotics contexts.
Strong programming skills in Python, C++, or other relevant languages.
Experience with motion planning and control in dynamic environments.

Apply Here: Careers

Job Portals

LinkedIn Jobs
Monster
Dice
Built In Boston
SimplyHired

Salary of Machine Learning Engineer

In Massachusetts, the salary for a Machine Learning Engineer can vary widely depending on factors such as experience, education, and the specific industry. Generally, starting salaries for entry-level positions begin around $85,000 annually. Mid-level engineers with several years of experience typically earn between $100,000 and $130,000. For senior-level professionals or those with specialized expertise in areas like deep learning or AI, salaries can range from $140,000 to over $160,000 per year.

The high demand for machine learning skills across various sectors—including technology, healthcare, finance, and biotechnology—contributes to competitive salaries in the region. Additionally, Massachusetts’ status as a hub for education and technology innovation further boosts the earning potential for these roles. Engineers with strong backgrounds in data handling, model development, and software proficiency, particularly in Python and TensorFlow, are especially well-compensated.

Experience Wise salary trend

Here’s a detailed tabular representation of the experience-wise salary trends for Machine Learning Engineers in Massachusetts, along with an explanation for each level:

Experience Level	Average Salary	Explanation
Entry-Level	$85,000	Entry-level Machine Learning Engineers often start at this salary, focusing on foundational tasks like data cleaning and simple model training. No or very limited professional experience is required.
Early Career	$100,000 – $120,000	After gaining a few years of experience, engineers handling more complex projects, including deployment of models and integration with existing systems, see a significant salary increase.
Mid-Level	$120,000 – $140,000	Mid-level engineers typically have substantial experience and may lead projects or small teams. They are involved in strategic decision-making and complex problem-solving, leading to higher compensation.
Senior-Level	$140,000 – $160,000+	Senior engineers often manage multiple projects or teams and are involved in high-level strategy and innovation within their organizations. They command top salaries due to their extensive expertise and impact.
Expert/Lead	$160,000+	At the expert or lead level, engineers possess deep specialized knowledge, potentially with a PhD or equivalent in a specific area of machine learning. They drive major initiatives and technological breakthroughs, resulting in the highest salaries.

Explanation:

Entry-Level: At this stage, engineers are typically recent graduates or individuals new to the field. The focus is on learning and applying basic machine learning techniques.
Early Career: With a few years under their belt, engineers expand their skill sets, often taking on more responsibility including the management of smaller projects or components of larger ones.
Mid-Level: Engineers at this level not only have technical proficiency but also begin to show strong leadership in project settings. They might also contribute to strategic decisions and have a significant impact on their projects’ direction.
Senior-Level: These professionals are highly experienced and often have a strategic role, influencing key aspects of their company’s technology approach. Their work often involves leading innovative projects and mentoring less experienced team members.
Expert/Lead: Engineers at this pinnacle level are recognized as authorities in their specific areas of expertise. They not only lead on technical fronts but also drive new business capabilities and innovations, often across multiple teams or the entire organization.