ZipRecruiter

Log In

1

Director Google Machine Learning Engineer Jobs in Boston, MA

IMC Inc

Machine Learning Engineer

Dorchester, MA · On-site

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of ... MIT, Google, and across the defense innovation ecosystem. * Direct impact on national security ...

Apple

Machine Learning Engineer

Cambridge, MA · On-site

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Samprasoft

Machine Learning Engineer

Boston, MA · On-site

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI/ Westlake, TX/ Durham, NC/ Covington, KY/ Jersey City, NJ/ Boston, MA Candidate should be local or ...

MORSE Corp

Machine Learning Engineer

Cambridge, MA · On-site

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer ...

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

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

SynergisticIT

AI & Machine Learning Engineer

Boston, MA · On-site

... google, Paypal, western union, client, visa, walmart labs etc to name a few. We have an excellent reputation with the clients. Currently, we are looking for an AI & Machine Learning Engineer. Who ...

Remark

Machine Learning Engineer

Boston, MA · On-site

What We're Looking For As a Machine Learning Engineer working on Remark's core platform, you will be responsible for planning, implementing, and testing features that change the way consumers buy ...

Indeed

Machine Learning Engineer

Boston, MA · On-site

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

SynergisticIT

Machine Learning Engineer

Boston, MA · On-site

Work with an international top-notch engineering team with full commitment on Machine Learning development. Required Candidate Profile Skills Required: * Passionate about search and AI technologies.

SynergisticIT

Machine Learning Engineer

Cambridge, MA · On-site

Work with an international top-notch engineering team with full commitment on Machine Learning development. Skills Required: * Passionate about search and AI technologies. Open to collaborating with ...

next page

Showing results 1-20

People also search for

All JobsDirector Google Machine Learning Engineer JobsDirector Google Machine Learning Engineer Jobs in Boston, MA

Director Google Machine Learning Engineer information

See Boston, MA salary details

$39.1K

$99.9K

$153.2K

How much do director google machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for director google machine learning engineer in Boston, MA is $99,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $115,200.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Boston, MA? The most popular types of Google Machine Learning Engineer jobs in Boston, MA are:
What are popular job titles related to Director Google Machine Learning Engineer jobs in Boston, MA? For Director Google Machine Learning Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Director Google Machine Learning Engineer jobs in Boston, MA look for? The top searched job categories for Director Google Machine Learning Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Director Google Machine Learning Engineer jobs? Cities near Boston, MA with the most Director Google Machine Learning Engineer job openings:
Director Google Machine Learning Engineer jobs near you
Infographic showing various Director Google Machine Learning Engineer job openings in Boston, MA as of May 2026, with employment types broken down into 78% Full Time, 12% Part Time, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $99,875 per year, or $48 per hour.
Machine Learning Engineer

Machine Learning Engineer

Focus Financial Partners Inc.

Boston, MA • On-site

$140K - $180K/yr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer

St. Louis, MO; Boston, MA; New York, NY

Position Summary

We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this role, you will collaborate closely with data scientists, software engineers, and product teams to translate research models into reliable, scalable, and high-impact applications. You will be deeply involved in the end-to-end ML lifecycle—from data ingestion and feature engineering to deployment, monitoring, and continuous improvement—playing a critical part in shaping our machine learning platform and capabilities.

Primary Responsibilities
  • Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
  • Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
  • Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
  • Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
  • Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
  • Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
  • Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
  • Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.
Qualifications
  • Master's degree in Computer Science, Data Science, Engineering, or a related technical field.
  • 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
  • Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
  • Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Familiarity with CI/CD pipelines, testing automation, and version control using Git.
  • Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML) is preferred.
  • Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
  • Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.

This is an exempt position. The annualized base pay range for this role is expected to be between $140,000-$180,000. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate's experience and education.

Apply