--- title: 'Machine Learning Engineer at Higharc' canonical: 'https://feeny.ai/job/machine-learning-engineer-higharc-new-york-zejpew91qjzn' type: 'job' last_seen: '2026-10-13' --- # Machine Learning Engineer at Higharc - **Company:** Higharc - **Location:** New York, NY - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-29 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.ashbyhq.com/higharc/449dd0af-71ab-4198-9492-7d5b0adee171 ## Job description ## About Us Higharc is a VC-backed startup that is changing how new homes are designed and built. Join a founding team who’ve shipped products for Autodesk, Electronic Arts, Nike, and Apple. We have raised over $175M with support from top-notch venture capital firms and more than 18 strategic investors: industry leaders in construction, building products manufacturing, and distribution. Higharc is seeking a hands-on Machine Learning Engineer to build and ship Machine Learning models that understand homes, from a question about plans and buildings to a model running in the product. You will own problems end to end with the research lead, framing the task, choosing the representation, training and evaluating the model, serving it, and measuring it in the product at the latency and cost the product can afford. ## What You'll Do Our team builds AI that understands homes, and our generative floor plan engine has moved from proof of concept to a core workflow in Higharc's product. You'll own the applied side of that work. The research team hands you a defined problem and a metric. You train and adapt the models, build the pipelines around them, and ship a component that meets the product's latency and cost budget. You'll work inside an architecture that already exists. The engine, the schema, and the evaluation frameworks are in place, and your job is to make them faster, reproducible, and easy for others to build on. Expect to: - Build the component layer around our layout synthesis engine: a documented API contract, a service the product can call, and an evaluation gate that runs on every change. - Turn model retraining into a one-command job, with benchmarks built in and results the whole team can read. - Own the latency and cost budgets for learned capabilities. - Extend core research into new capabilities, such as multi-story plans and real-time editing. - Partner with infrastructure engineers on MLOps and deployment, and mentor researchers and interns on engineering practices. - Share your work in writing through weekly status updates, clear pull requests, and design notes before big changes. ## About You You're happiest when a model you worked on is running in the product. You like taking a well-defined problem with a metric attached and closing it, and you improve an existing codebase without feeling the need to rewrite it. You think about what a 45-second wait means for a user before you think about what it means for a benchmark. You're honest about evaluation: you can tell when a result is an artifact of the test set, and you'd rather report a regression in writing than hide it behind a demo. Most of your collaborators are remote and some are part-time, so writing things down comes naturally to you. You can go from a research conversation to a product conversation to an infrastructure conversation in the same week and be understood in all three. You also know enough about buildings to see that a bedroom door opening onto a kitchen is wrong before any metric tells you. You have: - Five or more years of professional software development, at least two of them training and shipping machine learning models to real users rather than in notebooks. - Has carried at least one model end to end, from data preparation through training, evaluation, serving and the integration that put it in front of users. - Fluent in Python; PyTorch preferred, TensorFlow or Keras acceptable with a commitment to move. - Has worked with geometric or structured data such as floor plans, CAD or BIM, graphs, or 2D and 3D geometry. - Has built or maintained an evaluation harness or benchmark and used it to gate changes. Has packaged a model behind an API (FastAPI or similar) and been accountable for its latency and cost. - Comfortable working remotely with a team on US Eastern hours. - Master's degree in computer science, machine learning or a related field, or equivalent shipped work. A major plus if you also bring: - An architecture or building background, whether a degree, practice, or AEC software work. - Experience with constraint solvers such as OR-Tools CP-SAT or with optimization more broadly. Generative models for layouts or floor plans specifically. Plugin or tooling work in Rhino, Grasshopper or Revit. Hugging Face ecosystem, experiment tracking, and cloud model serving on AWS or Modal. Publications or open source contributions. A PhD is not required. Working at Higharc Remote work and travel: Our company is entirely remote, and has been since we were founded in 2018. Remote work means more time with family, less time commuting, and the flexibility to blend work and life. We value in-person collaboration and asynchronous deep-work time, which is why we schedule regular team meet-ups in our hubs across the US and, depending on the role, prioritize hiring in those hubs. If your role requires frequent travel beyond pre-scheduled team meet ups, we will represent that to the best of our ability as early as possible in the interview process. Compensation and benefits: Higharc offers competitive salaries with significant equity, in a fast-growing, well-funded company. We provide comprehensive medical, dental, and vision coverage, with flexible PTO, and meaningful maternity/paternity leave to all U.S based employees that are full-time. You'll also have access to other big-company benefits such like short and long-term disability plans and a 401K. We also provide a stipend to create the ideal home office and support ongoing L&D. Please note: we are seeing an uptick of fraudulent recruiting activity claiming to be associated with Higharc. All communication and outreach from our in-house team will come from an @higharc.com email address. ## About Higharc ## Company Overview - **One-liner**: Higharc provides an AI-powered, connected homebuilding cloud platform that automates design, sales, estimating, and construction processes for homebuilders. - **Entity Type**: Private (VC-backed, $78M+ total funding) - **Headquarters**: Durham, North Carolina, USA (with additional offices in Atlanta, GA and San Francisco, CA) - **Founded**: 2018 - **Founders**: Marc Minor (CEO), Michael Bergin (Co-founder, Chief R&D), Peter Boyer (Co-founder, CTO Emeritus), Thomas Holt (Co-founder, VP of Visualization) ## Core Business - **Primary industry**: Homebuilding technology / Construction software / AI for architecture & engineering - **Target customers**: B2B – residential homebuilders, from large production builders to smaller regional builders - **Mission statement**: “Help builders create better homes and communities, more affordably.” [higharc.com/company/about](https://www.higharc.com/company/about) ## Products & Services - **Higharc Homebuilding Cloud (SaaS platform)**: An end-to-end platform that replaces disconnected legacy tools. Core capabilities include AI-driven home design (generative design), automated configuration of market-proven plans, generation of lot-specific estimates and permit-ready construction documents, and creation of 3D shoppable visuals for sales and marketing. Every change in design or buyer selection automatically propagates to estimates, documents, and marketing assets. [higharc.com](https://www.higharc.com/) - **Higharc AI (announced Feb 2025)**: Production-ready generative AI for faster home design and development, enabling builders to create new plans and variants from scratch. [higharc.com/company/about](https://www.higharc.com/company/about) - **MarkSystems integration (Feb 2026)**: A jointly developed integration with MarkSystems (ECI Software Solutions) that unifies product design, configuration, estimating, and construction management into a single workflow. [higharc.com/company/about](https://www.higharc.com/company/about) ## Market Standing - **Valuation**: Not publicly disclosed (private company) - **Key Metric**: Total funding raised – $78M (as stated on company site; LinkedIn reports $80M). Announced milestones include a $21M Series A (2021, led by Spark Capital) and a $53M Series B (Feb 2024). [higharc.com/company/about](https://www.higharc.com/company/about) | [linkedin.com/company/higharc](https://www.linkedin.com/company/higharc) - **Annual Revenue**: Not publicly available; LinkedIn estimates $3.1M (unverified, use with caution). [linkedin.com/company/higharc](https://www.linkedin.com/company/higharc) - **Employee Count**: ~155 (as of mid-2026, up 64% YoY according to LinkedIn) [linkedin.com/company/higharc](https://www.linkedin.com/company/higharc) - **Notable Investors & Partners**: Spark Capital, SE Ventures (Schneider Electric), Home Depot Ventures, Fifth Wall, Ferguson, Suffolk Technologies, Starwood Capital, Standard Investments, PSP Partners, Carl Bass (former Autodesk CEO), Scott Belsky (CPO of Adobe), Wayne Chang (Built Technologies founder), GAF, RXR. [higharc.com/company/about](https://www.higharc.com/company/about) - **Growth Signals**: - Named **#28 Fastest-growing Company in North America** on Deloitte’s 2025 Technology Fast 500. [higharc.com/company/about](https://www.higharc.com/company/about) - Selected for **Fast Company’s 2024 Best Workplaces for Innovators**. [higharc.com/company/about](https://www.higharc.com/company/about) - Strong headcount growth (+64% YoY) and increasing LinkedIn follower count (+45% yearly). [linkedin.com/company/higharc](https://www.linkedin.com/company/higharc) - Strategic partnerships with ECI Software Solutions and MarkSystems, expanding integration ecosystem. [higharc.com/company/about](https://www.higharc.com/company/about) ## Competitive Advantages - **End-to-end platform**: The only solution that connects design, sales, estimating, and construction in a single cloud – reduces friction between phases and replaces multiple outdated tools. - **Generative AI expertise**: Founding team led design automation at Autodesk, launched 3D printing companies (Carbon, Desktop Metal), and built AAA games – bringing deep generative design and AI capabilities to homebuilding. - **Industry-backing**: Major homebuilding investors (Home Depot, Ferguson, Starwood Capital, etc.) provide domain credibility and distribution channels. - **Proven ROI**: Customers report up to 50% increase in margins, 75% faster product development, and 15% decrease in time to open new communities. [higharc.com](https://www.higharc.com/) ## Strategic Focus - **Continue expanding AI capabilities** (new generative AI features announced Feb 2025) - **Deepen integrations** with construction management and ERP systems (e.g., MarkSystems/ECI partnership) - **Scale customer base** among U.S. homebuilders, leveraging strong investor network and partner channels - **Grow headcount** across engineering, sales, and customer success (29+ open positions as of mid-2026) [jobs.ashbyhq.com/higharc](https://jobs.ashbyhq.com/higharc) ## Why Work Here - **Remote-first culture**: Higharc operates as a remote-first company, with flexibility for employees across the U.S. and several other countries. [higharc.com/company/careers](https://www.higharc.com/company/careers) - **Benefits**: - Flexible PTO (unlimited) and generous holiday schedule - Comprehensive health, dental, and vision insurance (90% of premiums covered) - Paid parental leave - Modern equipment and tools provided - Company retreats and team-building events - Competitive compensation packages [higharc.com/company/careers](https://www.higharc.com/company/careers) - **Engineering culture**: Team includes veterans from Autodesk, AAA gaming studios, and 3D printing – a strong emphasis on innovation, AI, and product quality. - **Growth trajectory**: Fast-growing (Deloitte Fast 500, large headcount increase) offers opportunities for career advancement in a high-impact role. ## Sources 1. [higharc.com](https://www.higharc.com/) – Company homepage, product overview, and ROI stats 2. [higharc.com/company/about](https://www.higharc.com/company/about) – Founding story, investors, partners, news events, mission 3. [higharc.com/company/careers](https://www.higharc.com/company/careers) – Careers page with benefits, culture, values, open positions 4. [jobs.ashbyhq.com/higharc](https://jobs.ashbyhq.com/higharc) – Full list of open jobs (Ashby) 5. [linkedin.com/company/higharc](https://www.linkedin.com/company/higharc) – LinkedIn company page (headcount, revenue estimate, growth metrics) ## Other roles at Higharc - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-higharc-new-york-6fhjhx20acsj) — New York, NY - [Software Engineer, Home Design Experience](https://feeny.ai/job/software-engineer-home-design-experience-higharc-new-york-nrtrgwzc8ywp) — New York, NY - [Director of Product, Enterprise](https://feeny.ai/job/director-of-product-enterprise-higharc-new-york-ywae5kp6wg2q) — New York, NY - [Sr. Product Manager, Studio](https://feeny.ai/job/sr-product-manager-studio-higharc-new-york-t9d4g37xaaar) — New York, NY - [Sr. Software Engineer, Structural](https://feeny.ai/job/sr-software-engineer-structural-higharc-united-states-7b0wfh52pnsr) — United States - [Residential Drafter](https://feeny.ai/job/residential-drafter-higharc-austin-543cn82sw6mr) — Austin, TX - [Purchasing Analyst](https://feeny.ai/job/purchasing-analyst-higharc-durham-p7dk4djqm74p) — Durham, NC - [Account Executive](https://feeny.ai/job/account-executive-higharc-atlanta-qxqzv08cbc91) — Atlanta, GA - [Sales Enablement Lead](https://feeny.ai/job/sales-enablement-lead-higharc-new-york-3h1ah3j7xjy7) — New York, NY - [Forward Deployed Product Manager](https://feeny.ai/job/forward-deployed-product-manager-higharc-new-york-j1pckj25gt75) — New York, NY