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Model Predictive Control Jobs in Lawrence, MA (NOW HIRING)

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

... AI, and predictive analytics techniques. * Deploy machine learning models into production ... Familiarity with version control systems like Git. Preferred Qualifications * Experience with ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

MIT Lincoln Laboratory

Data Analyst

Lexington, MA · On-site

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

Anduril Industries

GNC Software Engineer

Waltham, MA · On-site

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

Anduril Industries

GNC Software Engineer

Waltham, MA · On-site

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

Anduril Industries

GNC Senior Software Engineer

Waltham, MA · On-site

$132K - $174K/yr

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

Anduril Industries

GNC Software Engineer

Waltham, MA · On-site

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

Anduril Industries

GNC Senior Software Engineer

Waltham, MA · On-site

$132K - $174K/yr

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

Anduril Industries

GNC Senior Software Engineer

Waltham, MA

$132K - $174K/yr

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

Vrtx

Director, Quality Analytics

Boston, MA · On-site

... predictive and NLP capabilities, and enable fitforpurpose AI and agentic solutions using approved enterprise platforms. This individual will demonstrate Vertex Core Values, as well as model ...

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Showing results 41-60

All JobsModel Predictive Control JobsModel Predictive Control Jobs in Lawrence, MA

Model Predictive Control information

See Lawrence, MA salary details

$57.7K

$101.3K

$137.4K

How much do model predictive control jobs pay per year?

As of Aug 10, 2026, the average yearly pay for model predictive control in Lawrence, MA is $101,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $113,300.00 per year, depending on experience, location, and employer.

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.
What cities near Lawrence, MA are hiring for Model Predictive Control jobs? Cities near Lawrence, MA with the most Model Predictive Control job openings:
Model Predictive Control jobs near you

AI/ML Engineer

Winaxis

Boston, MA • On-site

$35 - $45/hr

Full-time

Re-posted 8 days ago

Job description

About the Role

We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies.

Key Responsibilities
  • Design, develop, train, and optimize Machine Learning and Deep Learning models.
  • Build and maintain scalable data pipelines for model training and inference.
  • Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques.
  • Deploy machine learning models into production environments using MLOps best practices.
  • Work with large datasets and perform data preprocessing, feature engineering, and model evaluation.
  • Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions.
  • Monitor model performance and implement continuous improvements.
  • Research and evaluate emerging AI technologies, frameworks, and industry trends.
  • Develop APIs and microservices for AI model integration.
  • Ensure data security, model governance, and compliance standards are maintained.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field.
  • Strong programming skills in Python.
  • Experience with Machine Learning libraries such as:
    • TensorFlow
    • PyTorch
    • Scikit-learn
    • XGBoost
  • Strong understanding of:
    • Supervised and Unsupervised Learning
    • Deep Learning
    • Neural Networks
    • Natural Language Processing (NLP)
    • Computer Vision
    • Reinforcement Learning (preferred)
  • Experience with SQL and NoSQL databases.
  • Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow.
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with version control systems like Git.
Preferred Qualifications
  • Experience with Generative AI technologies and Large Language Models (LLMs).
  • Hands-on experience with:
    • LangChain
    • LlamaIndex
    • Hugging Face
    • OpenAI APIs
    • Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
  • Experience in RAG (Retrieval-Augmented Generation) implementations.
  • Knowledge of MLOps tools and CI/CD pipelines.
  • Experience with Databricks and Apache Spark.
Technical Skills
  • Python
  • SQL
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Apache Spark
  • MLflow
  • Docker
  • Kubernetes
  • AWS/Azure/GCP
  • Git
  • REST APIs
  • Generative AI & LLMs
Soft Skills
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Ability to work independently and in a team environment.
  • Strong attention to detail and commitment to quality.
Nice to Have
  • AI Agent Development
  • Multi-Agent Systems
  • Prompt Engineering
  • Fine-tuning LLMs
  • Knowledge Graphs
  • MLOps Certification
  • Cloud Certifications (AWS, Azure, GCP)