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Physics Informed Machine Learning Jobs in Southbridge, MA

City Facilities Management

RHVAC Technician

Woonsocket, RI

$24 - $32.75/hr

Maintain clean and safe conditions in machine and electrical rooms. * Communicate as needed with ... Whether through our world-class training programs, over 1,500 e-learning classes through City ...

City Facilities Management

RHVAC Technician

Woonsocket, RI

$24 - $32.75/hr

Maintain clean and safe conditions in machine and electrical rooms. * Communicate as needed with ... Whether through our world-class training programs, over 1,500 e-learning classes through City ...

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Physics Informed Machine Learning information

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How much do physics informed machine learning jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for physics informed machine learning in Southbridge, MA is $20.79, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $26.39 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What cities near Southbridge, MA are hiring for Physics Informed Machine Learning jobs?

Cities near Southbridge, MA with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you

Director, Growth Performance Marketing (Hybrid - Webster or Boston)

MAPFRE

Webster, MA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 3 hours ago

Job description

Summary
The Director, Digital Growth Strategy is a strategic, data-driven leader responsible for driving scalable, profitable customer acquisition across paid and targeted digital marketing channels. This role owns end-to-end performance marketing- from channel strategy and media optimization to experimentation, AI-enabled insights, and growth scaling.
You will play a critical role in accelerating growth by combining analytical rigor, creative innovation, and strong leadership capabilities. This position is ideal for someone passionate about leveraging AI to enhance decision-making, personalization, and marketing efficiency within a competitive and regulated insurance environment.
What You'll Do:
Lead Growth Strategy & Execution
  • Develop and execute a comprehensive, data-driven growth marketing strategy aligned with business and revenue goals
  • Identify and prioritize high-impact opportunities to scale profitable growth across acquisition channels
  • Integrate AI-driven insights and predictive analytics to improve targeting and conversion outcomes
  • Own and optimize the full marketing funnel-from awareness through conversion

Own Paid Media & Channel Performance
  • Oversee all paid media channels, including paid search, paid social, display, programmatic, affiliate, and emerging platforms
  • Leverage AI-based tools and automation (e.g., bid optimization, audience modeling, budget allocation) to maximize performance
  • Manage agency partners and/or internal teams, ensuring accountability for results, innovation, and ROI
  • Continuously optimize media spend using data, attribution models, and AI-driven recommendations

Drive Customer Acquisition Optimization
  • Improve key acquisition metrics, including CAC, conversion rates, and LTV/CAC ratio
  • Utilize advanced analytics and AI-powered segmentation to enhance targeting and personalization
  • Partner with Analytics and Product teams to implement enhanced tracking, predictive modeling, and marketing intelligence capabilities

Champion Experimentation & A/B Testing
  • Lead a structured experimentation roadmap across creative, messaging, audience, and landing pages
  • Incorporate AI tools to accelerate testing cycles (e.g., automated creative testing, dynamic content generation, performance prediction)
  • Build scalable frameworks to turn test results into repeatable growth strategies
  • Foster a strong test-and-learn culture supported by data and machine-learning insights

Elevate Creative & Personalization Strategy
  • Partner with creative teams to develop high-performing, data-informed ad creatives
  • Use AI-driven tools to generate, test, and optimize creative assets and messaging at scale
  • Drive cross-channel personalization strategies to improve engagement and conversion

Scale Growth with Profitability Discipline
  • Identify, validate, and scale high-performing campaigns while maintaining profitability targets
  • Apply AI-enabled forecasting and scenario modeling to inform investment decisions and growth planning
  • Balance aggressive growth goals with disciplined financial management and ROI accountability

Lead Teams & Cross-Functional Collaboration
  • Lead, mentor, and develop a high-performing growth marketing team
  • Act as a thought leader in AI adoption, driving best practices and upskilling across the organization
  • Collaborate with Product, IT, Data, Compliance, and Finance teams to implement AI capabilities responsibly
  • Ensure all marketing activities comply with insurance industry regulations

What You'll Bring:
Required Qualifications
  • 7+ years of experience in digital, growth, or performance marketing
  • Proven success scaling customer acquisition through paid media and targeted marketing channels
  • Demonstrated experience leveraging AI, automation, or advanced analytics to improve marketing performance
  • Strong expertise with performance marketing platforms (e.g., Google Ads, Meta, programmatic platforms)
  • Experience designing and executing A/B testing and experimentation frameworks
  • Background in the insurance industry or another highly regulated environment
  • Leadership experience, including team management or strong cross-functional influence

Preferred Qualifications
  • Experience with AI-powered marketing tools (e.g., predictive analytics, generative AI, marketing automation platforms)
  • Familiarity with attribution modeling, customer data platforms (CDPs), and advanced segmentation strategies
  • Exposure to data science concepts or collaboration with machine learning teams
  • Strong understanding of compliance requirements in digital insurance marketing

Why Mapfre?
As a global insurance leader with a strong local presence, we offer more than a job- we provide a purpose-driven career where your growth, well-being, and impact truly matter.
Purpose & Culture: Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered.
Career Growth: Advance your skills through tuition reimbursement, leadership programs, and internal mobility opportunities. Your development is our priority.
Social Responsibility: Contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.
Comprehensive Benefits: Competitive health coverage, retirement plans, paid time off, flexible work options, and lifestyle perks like employee discounts. To learn more about our benefit offerings please visit:
https://mapfre.gobenefits.net/
Pay Philosophy: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.
Salary Range $170,700 - $210,000
If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the Mapfre Insurance Talent Acquisition team at talentacquisition@mapfreusa.com.
We are proud to be an equal opportunity employer.

Apply