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Mining Engineering Jobs in Boston, MA (NOW HIRING)

Session Engineer

Boston, MA ยท On-site

$20.64/hr

Responsible for recording and engineering the PWL recording sessions. * Also available for ad-hoc recording sessions outside of established studios as a contractor. * Session Engineers will ...

Algorithm Engineer

Boston, MA ยท On-site +1

$150K - $170K/yr

You follow and adopt best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking. * You are familiar ...

Sr Platform Engineer

Milford, MA ยท On-site

$114K - $157K/yr

Hands-on expertise with Celonis around data engineering, process mining (nice-to-have OCPM), platform administration, application development, release management, and enterprise integrations.

Sr Platform Engineer

Milford, MA ยท On-site

$114K - $157K/yr

Hands-on expertise with Celonis around data engineering, process mining (nice-to-have OCPM), platform administration, application development, release management, and enterprise integrations.

Sr Platform Engineer

Milford, MA

$114K - $157K/yr

Hands-on expertise with Celonis around data engineering, process mining (nice-to-have OCPM), platform administration, application development, release management, and enterprise integrations.

Senior Engineer

Boston, MA ยท On-site +1

$113K - $155K/yr

Work on large-scale solutions for mining challenging driving scenarios to boost learned model ... engineering principles such as configuration management, source control, build processes, code ...

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Showing results 1-20

Mining Engineering information

See Boston, MA salary details

$35.8K

$96.9K

$154.3K

How much do mining engineering jobs pay per year?

As of Aug 11, 2026, the average yearly pay for mining engineering in Boston, MA is $96,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $118,400.00 per year, depending on experience, location, and employer.

Are mining engineers in high demand?

Mining engineers are generally in steady demand due to ongoing need for mineral extraction and resource development. Employment opportunities depend on commodity prices, technological advancements, and environmental regulations, with skills in geology, safety, and environmental management being valuable. Job prospects are often better in regions with active mining operations and require relevant certifications and experience.

What are the key skills and qualifications needed to thrive in mining engineering?

Mining Engineers typically need a bachelor's degree in mining engineering or a related field, coupled with strong analytical, problem-solving, and project management skills. Familiarity with specialized software such as AutoCAD, Surpac, or MineSight, as well as certifications like the Professional Engineer (PE) license, is highly beneficial. Excellent teamwork, communication, and leadership abilities are important soft skills for collaborating with multidisciplinary teams and managing onsite personnel. These competencies are crucial for designing efficient mining operations, ensuring safety, and successfully navigating the complexities of the mining industry.

How much do mining engineers get paid?

Mining engineers typically earn a median annual salary of around $90,000, with salaries ranging from approximately $60,000 to over $130,000 depending on experience, location, and industry. They often work in environments requiring knowledge of geology, safety protocols, and engineering software.

What type of work do mining engineers do?

Mining engineers design, develop, and supervise the extraction of minerals from the earth. They plan mining operations, select appropriate equipment, ensure safety standards, and optimize resource recovery, often using specialized software and adhering to environmental regulations.

What is mining engineering?

A Mining Engineering job involves designing, developing, and overseeing the safe and efficient extraction of minerals from the earth. Mining engineers assess mine feasibility, plan excavation processes, and ensure compliance with environmental and safety regulations. They work with geologists, technicians, and site managers to optimize mining operations. Their responsibilities may also include mine reclamation and sustainability planning.

What are the typical career advancement opportunities for mining engineers?

Mining Engineers often start in entry-level roles overseeing specific aspects of mine operations or conducting fieldwork and can progress to senior engineering positions, project management, or mine superintendent roles. With experience, many move into specialized areas such as mine planning, safety management, or environmental sustainability. Some Mining Engineers also transition to consultancy or corporate management, depending on their interests and expertise. Continuous professional development, industry certifications, and gaining hands-on experience are key factors in advancing your career in this field.

What are the most commonly searched types of Mining Engineering jobs in Boston, MA? The most popular types of Mining Engineering jobs in Boston, MA are:
What are popular job titles related to Mining Engineering jobs in Boston, MA? For Mining Engineering jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Mining Engineering jobs in Boston, MA look for? The top searched job categories for Mining Engineering jobs in Boston, MA are:
What cities near Boston, MA are hiring for Mining Engineering jobs? Cities near Boston, MA with the most Mining Engineering job openings:
Infographic showing various Mining Engineering job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,884 per year, or $46.6 per hour.

Machine Learning Engineer, Data Mining

Motional

Boston, MA โ€ข On-site, Remote

$144K - $192K/yr

Full-time

Re-posted 19 days ago


Job description

Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional's driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

  • Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
  • Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
  • Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
  • Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
  • Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
  • Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.

What We're Looking For (Must-Haves):

  • BS or MS in Computer Science, Machine Learning, or a related field.
  • Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
  • Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
  • Working knowledge of version control, unit testing, and basic software design patterns.
  • Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
  • A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
  • A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.

Bonus Points (Nice-to-Haves):

  • MS/PhD in Computer Science, Machine Learning, or related field.
  • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
  • Background in autonomous driving, robotics, or real-time decision-making systems.
  • Familiarity with multimodal learning, sensor fusion, or embodied AI.
  • Experience building active learning loops, using the model to find the data that breaks the model.
  • Experience with ML-based data mining, active learning, or contrastive learning.
  • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
  • Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$144,000—$192,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.