Hadrian Logo

Hadrian

Senior Engineering Manager, Machine Learning

Posted One Month Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in CA
Mid level
In-Office or Remote
Hiring Remotely in CA
Mid level
Build and manage a machine learning engineering team focused on making engineering drawings and CAD data usable for automation. Lead hiring, onboarding, mentorship, performance, technical direction, design reviews, and production deployment ownership. Guide annotation tooling, active learning, synthetic data augmentation, model health, and organizational growth while remaining technically hands-on and partnering across engineering, technical leadership, and business teams.
The summary above was generated by AI
Hadrian - Manufacturing the Future

Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost.


Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built.


Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we’re building the future of American manufacturing—and looking for exceptional people to help make it happen.


If you’re ready to take on the most challenging and rewarding work of your career while helping create American manufacturing jobs for generations to come, you’re exactly who we’re looking for.

The Role

Technical Data Intelligence has the mission of making the world’s engineering data legible to automation. Ingesting high variance engineering design data in the form of engineering drawings and CAD models is crucial to assess part and assembly manufacturability, plan build processes, plan factories, and drive manufacturing process automation. This team includes both machine learning engineers and fullstack software engineers.

 

You will build and manage a team of engineers focused on solving this problem. The solutions will be mix of agent development, classical ML development, and systems for tracking, editing, and mutating this data. This is a people-first management role: your focus is on hiring, growing, and supporting a world class team, while staying close to the technical work to help guide direction and staffing decisions, jumping in when necessary to unblock the critical path or understand the problems and technology on a deeper level.

 

What You'll Do

  • Own the people leadership of your engineers: hiring, onboarding, mentorship, career growth, and performance.

  • Stay technically hands-on as a player-coach: participate in design reviews and contribute directly to the work when it helps the team move faster or clears a critical path.

  • Set technical direction and where we invest headcount, in partnership with the engineers and technical leads who drive architecture and modeling decisions.

  • Build and maintain annotation tooling, implement active learning loops, and engineer synthetic data augmentation strategies.

  • Ensure engineers are engaged, growing, and set up to do their best work.

 

What We're Looking For

  • 2-5+ years of engineering management experience leading machine learning engineering teams in production, with strong technical depth and experience in machine learning, computer vision (detection/segmentation), multimodal image+text models, and/or data engineering before that.

  • Strong judgment on organizational design: how to structure a team, allocate headcount across projects, and balance depth vs. breadth as the stack grows.

  • Production deployment ownership: you've shipped models to production and been responsible for endpoint and model health.

  • A track record of running a healthy team: clear expectations, direct feedback, and a strong sense of ownership among your engineers.

  • Heavy interest in manufacturing: you either have past exposure to it or are excited to learn as much about it as possible from experts here and help others do the same. This is core to our culture.

  • Excellent communication and cross-functional partnership skills: you can align engineers, technical leads, and leadership.

 

What Will Set You Apart

  • Strong sense of connecting technical work and product development to business outcomes to understand what matters and what to say no to.

  • A track record of scaling a team through a period of fast headcount growth.

  • Experience mentoring engineers to grow into broader technical leadership roles.

Compensation

For this role, the target salary range is $249,000 - $299,000 (actual range may vary based on experience).

This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Benefits for Full-time Employees
  • Medical, dental, vision, and life insurance plans for employees
    401k

  • Relocation support may be provided for certain situations, based on business need.

  • Flexible vacation policy

  • Equity

 
ITAR Requirements

To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen or national, lawful permanent resident, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

 
Use of AI in hiring

Hadrian uses AI-assisted tools in our recruiting and hiring processes to help our team work more efficiently. This may include tools that help organize and analyze recruiting data, as well as an AI-powered notetaker that can record and transcribe interviews and help coordinate feedback. These tools support our team and are not used to make hiring decisions. All candidate evaluations and hiring decisions are performed by humans. If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy. Candidate data processed through these tools is subject to the same protections described in our Privacy Policy.

 
Consideration of Criminal History

Hadrian will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of all applicable laws. We do not ask about criminal history on our application, and we do not consider criminal history before making a conditional offer of employment.

 
Hadrian Is An Equal Opportunity Employer

Hadrian does not unlawfully discriminate on the basis of race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, marital status, mental status, physical disability or any other legally protected status. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.

Similar Jobs

18 Minutes Ago
Easy Apply
Remote or Hybrid
CA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, Databricks pipelines, Gold Layer tables, semantic models, and AI-enabled data products. Lead complex cross-team initiatives, translate ambiguous business needs into scalable solutions, ensure data quality and reliability, and mentor engineers and analysts. Build, evaluate, and monitor production LLM and agent systems while automating marketing and go-to-market workflows with AI. Partner with BI, Data Science, Marketing, Sales, and R&D teams to support self-service analytics and trusted business KPIs.
Top Skills: Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEltETLLakehouse ArchitecturesLlmsPythonSalesforceSemantic LayersSnowflakeSQLStreamlit
53 Minutes Ago
Easy Apply
Remote
Canada
Easy Apply
Entry level
Entry level
Big Data • Fintech • Mobile • Payments • Financial Services
Leads Marketing and Consumer Privacy Engineering teams, developing engineers and establishing a shared operating model. Translates business and product priorities into engineering plans across logged-out web, experimentation, marketing integrations, attribution, measurement, consent, privacy experiences, and consumer data collection. Partners with Product, Marketing, Privacy, Legal, and Engineering stakeholders to deliver reliable, scalable, privacy-aware systems while balancing customer needs, quality, speed, and risk.
Top Skills: AnalyticsAttributionAustralian Privacy ActCcpa/CpraConsent ManagementCookiesGdprInstrumentationMarketing TechnologyMeasurement SystemsTaggingWeb Experimentation
An Hour Ago
Remote or Hybrid
Canada
Junior
Junior
Agency • Digital Media • Legal Tech • Marketing Tech • Social Media • SEO
Own a portfolio of clients to maximize retention and growth: run client calls, analyze lead and performance data, spot retention risks and upsell opportunities, coordinate internal teams to deliver on strategy, and contribute process and AI-driven improvements to internal systems.

What you need to know about the Calgary Tech Scene

Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account