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Remote Google Machine Learning Engineer Jobs in Pottstown, PA

... Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Software ... T h e remote position is only applicable for those that are not within commutable distance to ...

New

... Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Software ... Remote Shift: 1st - Day Valid Driving License: No Hazardous Material(s): N/A Job Posting End Date ...

Linear Algebra Tutor

Allentown, PA · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Linear Algebra Tutor

Reading, PA · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... Machine learning * Data visualization * Data manipulation Qualifications Preferred applicants will ...

Remote * Duration: 11/03/2025 to 6/26/2026 * Team: Human Resources About the Role: * We are seeking ... learning management systems (LMS), and multimedia software such as Adobe Creative Suite, Google ...

Showing results 41-60

Remote Google Machine Learning Engineer information

See Pottstown, PA salary details

$30.6K

$125.2K

$188.1K

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

As of Aug 23, 2026, the average yearly pay for remote google machine learning engineer in Pottstown, PA is $125,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a remote Google machine learning engineer?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.

What are the most commonly searched types of Google Machine Learning Engineer jobs in Pottstown, PA?

The most popular types of Google Machine Learning Engineer jobs in Pottstown, PA are:

What job categories do people searching Remote Google Machine Learning Engineer jobs in Pottstown, PA look for?

The top searched job categories for Remote Google Machine Learning Engineer jobs in Pottstown, PA are:

What cities near Pottstown, PA are hiring for Remote Google Machine Learning Engineer jobs?

Cities near Pottstown, PA with the most Remote Google Machine Learning Engineer job openings:

Infographic showing various Remote Google Machine Learning Engineer job openings in Pottstown, PA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $125,162 per year, or $60.2 per hour.

Senior Director, Advanced Analytics Products

Madrigal Pharmaceuticals

Conshohocken, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Madrigal is a biopharmaceutical company focused on delivering novel therapeutics for metabolic dysfunction-associated steatohepatitis (MASH), a serious liver disease that can progress to cirrhosis, liver failure, need for liver transplantation and premature mortality. Every member of our Madrigal team is connected by our shared purpose: leading the fight against MASH.

Madrigal's medication, Rezdiffra (resmetirom), is a once-daily, oral, liver-directed THR- agonist designed to target key underlying causes of MASH. Rezdiffra is the first and only medication approved by both the FDA and European Commission for the treatment of MASH with moderate to advanced fibrosis (F2 to F3). An ongoing Phase 3 outcomes trial is evaluating Rezdiffra for the treatment of compensated MASH cirrhosis (F4c).

Our success is driven by our people. We are building a dynamic, inclusive, and high-performing culture that values scientific excellence, operational rigor, and collaboration. To support our continued growth, we are strengthening our workforce strategy to ensure we have the right talent, at the right time, in the right way.

The Senior Director, Commercial Advanced Analytics is the senior commercial-domain expert for advanced analytics and AI, translating deep knowledge of the Commercial business into high-value use cases and the requirements behind them. Reporting to the Executive Director of Data Strategy & Analytics, this leader works directly with Commercial leadership and functions to identify and prioritize high-value use cases, define the business requirements and success measures, and partner with the enterprise AI team - which builds, deploys, and governs the underlying models and AI capabilities - to embed them in commercial workflows and drive adoption.

This role is focused on identifying, prioritizing, and being the "business owner" of Commercial advanced analytics / AI initiatives and products with a focus on enabling accelerated insights, optimizing workflows, and driving the ideation and adoption of critical capabilities. The enterprise IT AI team will be responsible for the hands-on build of these capabilities and deployment. Together, this partnership will deliver on accelerating Madrigal's Commercial success.

Role & Responsibilities
  • Serve as Commercial PoC in defining and prioritizing the roadmap of commercial advanced analytics and AI use cases, in partnership with Commercial leadership and the enterprise AI team, which builds and deploys them on the enterprise platform
  • Own the advanced analytics roadmap and business integration of our next-best-action / omni-channel strategy with a focus on improving our customer engagement model through field and home office orchestration
  • Prioritize and manage the Commercial advanced-analytics and AI use-case pipeline, aligned to the enterprise intake, prioritization, and governance process
  • Define the business, data, and success requirements for Commercial models and AI tools, and partner with enterprise AI and IT in deployment and optimization of these tools
  • Provide commercial validation and business acceptance during enterprise-run testing and phased roll-outs, applying the enterprise evaluation framework and feeding Commercial requirements back to the enterprise AI
  • Own the day-to-day advanced analytics operations by serving as intake for Commercial leadership requests, structuring problem statements, working with our Enterprise AI team's dedicated Commercial Analytics AI resources to build appropriate solutions, and synthesizing these results into business-facing insights
  • Develop requirements to our Commercial Data Products team for enhancements to our semantic layer that enables trusted self-service, democratization of model outputs, and forward-looking natural-language querying
  • Serve as the Commercial-domain expert who translates business needs into advanced analytics and AI solutions, and represent Commercial requirements in the enterprise AI tool vendor evaluations
Qualifications

Typical Degree & Years of Experience

  • Bachelor's degree in a quantitative field such as statistics, data science, computer science, or engineering; advanced degree (MS or PhD) preferred.
  • 15+ years in pharmaceutical or biotech commercial advanced analytics, with demonstrated value generation across Sales, Patient Services, Market Access, and Marketing (e.g., omni-channel, attrition modeling, shareshift)
  • Fluency with core commercial data assets - specialty pharmacy / hub, claims (e.g., IQVIA, Symphony), CRM / Veeva, call and activity, and consent data - and the governed semantic layer built on them.
  • Experience partnering with technical teams to bring machine learning and AI-driven tools into production commercial workflows, with working knowledge of MLOps and model lifecycle management.
  • Demonstrated experience building, leading, and developing analytics or data science teams.
  • Hands-on proficiency in Python and SQL, and experience with cloud data and machine learning platforms (e.g., Databricks, Fabric, Azure/AWS ML tooling).

Preferred

  • Experience applying evaluation and phased-rollout approaches (e.g., shadow-mode) for AI tools deployed on an enterprise platform.
  • Experience supporting specialty or rare disease brands.
  • Proven success in deploying AI workflow enhancements with focus on RoI
Skills & Competencies
  • Deep fluency in the commercial operating model (field and home-office orchestration, market access, brand performance, patient services workflow optimization), paired with strong technical grounding and the judgment to prioritize high-ROI use cases.
  • Ability to build trust and evaluation rigor around new AI capabilities with non-technical stakeholders.
  • Effective cross-functional partnership across Commercial, Medical, IT, and the enterprise AI team, including translating business needs into technical requirements.
  • Proven people leadership and team development.
Impact
  • Accelerates adoption of advanced analytics and AI across Commercial while establishing Madrigal as a leader in safe, evaluation-driven AI deployment, delivering measurable gains in accelerated insight generation, Commercial workflow optimization, and higher fidelity of orchestration across field and HQ roles
  • Converts high-value use cases into measurable improvements in commercial decision-making and operational efficiency.
  • Establish a repeatable operating model that converts AI investments into measurable Commercial outcomes

Madrigal's Total Rewards strategy is based on a biotech industry peer group comparator and is inclusive of base pay, bonus and equity. Our equity offers meaningful opportunity allowing our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.

All employees receive equity, which we believe reinforces our ownership culture. Base salary is determined by several factors including the candidate's qualifications, skills, education, experience, business needs and market demands. As of the date of this posting, a good faith estimate of the current pay scale for this position, applicable to all candidates, is $257,000 - $314,000 per year. We comply with all applicable minimum wage laws.

All full-time employees receive equity, which reinforces our ownership culture and offers meaningful opportunity for our employees to share in the success they help create. By aligning individual and company performance, we empower employees to think like owners, giving them a stake in the organization.

Full-time employees are also eligible for comprehensive benefits, including flexible paid time off, medical, dental, vision and life/disability insurance, and 401(k) offerings (i.e., traditional, Roth, and employer match) in accordance with applicable plans. We also offer additional voluntary benefits like supplemental life insurance, legal services, and other offerings. In addition, we offer mental health benefits through our Employee Assistance Program for employees and their family. The company also provides other benefits in accordance with applicable federal, state, and local laws.

We are committed to providing reasonable accommodations for individuals with disabilities throughout the hiring process. If you need assistance, please contact HR@madrigalpharma.com.

Madrigal is an Equal Opportunity Employer. All employment is decided on the basis of qualifications, merit, and business need. Applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex gender identity, sexual orientation, national origin, age, disability, protected veteran or disabled status, or other characteristic protected by applicable federal, state, or local law.

Unsolicited resumes from agencies should not be forwarded to Madrigal. Madrigal will not be responsible for any fees arising from the use of resumes through this source. Madrigal will only pay a fee to agencies if a formal agreement between Madrigal and the agency has been established.

Applications are being accepted on an ongoing basis and can be submitted through our Madrigal Careers site.

Please be aware that we have received reports of individuals misrepresenting themselves as Madrigal Pharmaceuticals' Hiring Managers, seeking to engage with job candidates through fraudulent online advertisements or job posting sites. These unauthorized individuals are using Madrigal's name and logo in an attempt to solicit up-front fees and obtain personal information from interested job candidates. Please know that Madrigal does not conduct interviews via text or in chat rooms; conduct interviews via Skype, RingCentral or solely via telephone; charge candidates an advance fee of any kind (e.g., fees for purchasing equipment); nor does it offer positions of employment without undergoing a thorough recruiting process.

Please also note that any correspondence with regard to employment would come from an authorized madrigalpharma.com email address or from an email address from one of our trusted search firm partners. We are aware that incorrect/fraudulent email addresses, with Madrigal misspelled, have been utilized in these most recent fraud attempts. If you receive unsolicited employment offers from people claiming to work for or on behalf of Madrigal, we recommend that you: do not respond to their questions; do not open any attachments; and do not click on any hyperlinks. Any questions regarding the legitimacy of job-related contacts can be directed to HR@madrigalpharma.com.