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Remote Full Stack Machine Learning Engineer Jobs in Lancaster, PA

Reflexion

Fractional CISO

Lancaster, PA · Remote

Fractional CISO This is a fully remote (work-from-home) position. Work from anywhere in the United ... Technical enough to verify controls in an AWS + Cloudflare stack with the CTO (IAM, KMS, CloudTrail ...

Reflexion

Fractional CISO

Lancaster, PA · Remote

Fractional CISO This is a fully remote (work-from-home) position. Work from anywhere in the United ... Technical enough to verify controls in an AWS + Cloudflare stack with the CTO (IAM, KMS, CloudTrail ...

Reflexion

Fractional CISO

Lancaster, PA · On-site +1

Fractional CISO This is a fully remote (work-from-home) position. Work from anywhere in the United ... Technical enough to verify controls in an AWS + Cloudflare stack with the CTO (IAM, KMS, CloudTrail ...

Talkiatry

Psychiatrist

York, PA · Remote

$325K - $375K/yr

Full operational support, including scheduling, billing, intake coordination, and licensing ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

Talkiatry

Psychiatrist

Lancaster, PA · Remote

$325K - $375K/yr

Full operational support, including scheduling, billing, intake coordination, and licensing ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

EnerSys

District Sales Manager

Reading, PA · Remote

... full solution for stored DC power products. What We're Offering * Remote Northeast-50% travel ... Collaborate cross-functionally with engineering, service, operations, product management, and ...

Fulton Bank

HR Systems Specialist

PA · Remote

We champion a culture of continuous learning, work-life integration, and inclusion. We promote a ... This is a full-time career opportunity that can be remote within the Fulton Bank footprint as ...

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All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Lancaster, PA

Remote Full Stack Machine Learning Engineer information

See Lancaster, PA salary details

$43.2K

$131K

$185.1K

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

As of Aug 10, 2026, the average yearly pay for remote full stack machine learning engineer in Lancaster, PA is $130,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $153,600.00 per year, depending on experience, location, and employer.

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Lancaster, PA? For Remote Full Stack Machine Learning Engineer jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Lancaster, PA look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Lancaster, PA with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you

Senior Digital Marketing Analyst

Keystone Custom Homes

Lancaster, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

About Keystone Custom Homes
Keystone Custom Homes is one of the fastest-growing semi-custom homebuilders on the East Coast, building across Pennsylvania, Maryland, Virginia, North Carolina, and South Carolina. We closed 458 homes in 2025 and are on our way to 600. Here's what makes us different: Keystone is 92% owned by the National Christian Foundation. Our profits don't go to shareholders — they fund HOPE International, a global microfinance nonprofit that lifts families out of poverty. Every home we sell builds a dream here and funds one somewhere else.
About the Role
We are hiring a Senior Digital Marketing Analyst to own the data, ads, and automation engine behind our growth. This is a senior individual contributor seat — not a creative role, not a coordinator role, not a manager-of-people role. You will run paid media, build the attribution stack, write the queries nobody else can write, and ship AI workflows that make the whole marketing team faster. If the phrase "cost-per-LCA by community by creative format" makes you lean forward — keep reading. If you have opinions about GA4 event models, Meta optimization objectives, UTM hygiene, Supermetrics query design, and which LLM you'd wire into a lead-routing workflow — we want to talk to you. You will work directly with Sales amp; Marketing leadership on the highest-leverage questions in the business: where to put the next dollar, which communities are under-supported, and how to build data infrastructure that makes Keystone's marketing function measurably smarter every quarter. Reporting line will be finalized with the hire. This role is hybrid preferred with some days working in our Lancaster, PA office, but remote eligible for the right candidate.
What You'll Actually Do
  • Paid Media — Meta, Google, SEO, and Emerging Channels
  • Run and optimize paid media across Meta Ads, Google Ads, and emerging platforms. You are hands-on in Ads Manager and Google Ads every week.
  • Own the strategy behind campaign structure, bidding, audience design, creative testing, and budget allocation across 70+ active communities in five states.
  • Own organic search strategy — technical SEO, community page optimization, keyword coverage across our 74+ communities and 22 floorplans.
  • Test aggressively. Ship experiments weekly. Kill what doesn't work, scale what does.
Attribution, Analytics, and Data Infrastructure
  • Build and maintain the source-of-truth reporting stack across GA4, HubSpot, Salesforce, Supermetrics, and Meta/Google Ads.
  • Untangle multi-touch attribution across a long, considered sales cycle (lead → appointment → sale → close can take months).
  • Write the queries. Build the dashboards. Maintain the pipelines. You are the person who knows why a number changed.
  • Translate data into plain-English recommendations for sales leaders who don't care about event parameters — they care about appointments and sales.
AI and Automation
  • Build AI-powered workflows into the marketing stack — lead scoring, content generation, campaign analysis, competitive research, reporting automation.
  • Be a force multiplier for the rest of the marketing team by shipping AI tools they can actually use.
  • Stay on the front edge of what's possible with LLMs, MCP, and automation tooling. We are an AI-forward company and this role is one of the places that shows up most visibly.
Budget, ROI, and Strategic Decisions
  • Manage the digital advertising budget. Make the case for where spend should go, defend it with data, and answer for the results.
  • Partner with Sales leadership on community launches, inventory pushes, and market-specific campaigns across PA, MD, VA, NC, and SC.
  • Surface the unsexy-but-important insights: which communities are underperforming, which channels are saturated, where the funnel is actually leaking.
What We're Looking For
A data-and-ads person who geeks out. Specifically:
  • 4+ years running paid digital campaigns at a senior level — Google Ads, Meta Ads, and ideally one or more of: programmatic, YouTube, or paid social beyond Meta. You can pull up an account and diagnose what's wrong in 20 minutes.
  • Deep GA4 fluency. Event models, conversion setup, custom dimensions, exploration reports, API. Google Tag Manager proficiency is assumed.
  • SQL-level comfort with marketing data. Supermetrics, Looker Studio, BigQuery, or equivalent. You are not afraid of a messy dataset.
  • Attribution literacy. You have strong opinions about last-click vs. data-driven vs. MTA vs. incrementality — and you can explain the tradeoffs to a non-technical executive in two sentences.
  • Hands-on experience with AI tools in a real marketing context — not just "I've used ChatGPT" but "I built a workflow that does X." Bonus for anything involving MCP, API integrations, or custom automations.
  • SEO working knowledge — technical and on-page. You can audit a site, prioritize fixes, and argue with a web developer.
  • Clear communicator. You can take a 30-tab spreadsheet and turn it into a three-bullet recommendation. You push back when the data says something inconvenient.
  • Bachelor's degree in a relevant field — marketing, analytics, statistics, computer science, economics — or equivalent experience that obviously substitutes.
Nice to Have
  • Experience in homebuilding, real estate, or another considered-purchase industry with a long sales cycle and multi-touch funnel.
  • Google Ads and/or Meta Blueprint certification.
  • Experience with HubSpot, Salesforce, or similar CRMs at the data-model level (not just the UI).
  • Python, R, or similar for ad-hoc analysis.
  • You've shipped a marketing tool or script that your team actually uses.
  • You read one of: Benedict Evans, Stratechery, Marketing Brew, Do You Convert, a good analytics newsletter. You have taste.
Why This Role Is Different
  • You will not be one of ten analysts at a big company fighting for scope. You will be the technical engine of a growing marketing function with real budget and real impact.
  • You will work directly with senior leadership, including the EVP of Sales amp; Marketing, on decisions that move the company's growth trajectory.
  • You will be supported — not fought — on AI adoption. Keystone has an active AI Task Force and treats AI fluency as a real strategic priority.
  • Your work will fund HOPE International's global microfinance mission. That matters to us and it's not a marketing tagline.
Compensation amp; Benefits
Competitive compensation commensurate with experience — senior-level for a senior-level seat. Benefits include medical, dental, and vision coverage, 401(k) with company match, paid time off, and professional development support including certifications and conferences.

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