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production support engineer

Marqeta

<div>As a Production Support Engineer I at Marqeta, you will play a pivotal role in our commitment to customer satisfaction and the seamless operation of our products and services. You will serve as the first line of contact for our customers, adeptly handling and resolving technical issues, using known procedural documents with some technical analysis performed while translating technical jargon into user-friendly language. In addition, you will collaborate with our Engineering teams to manage software updates.

Your role will also involve handling problems in all areas of Marqeta's products and services and ensuring that our customers get the best support. For complex issues, you would follow escalation procedures engaging Senior members and Engineering teams. At Marqeta, we value the essential role our Production Support Engineers play in our service delivery chain and look forward to welcoming you to our team.

We work Flexible First. This role can be performed remotely in the United States, only in one of our Premium or National locations in Pacific or Mountain Timezone, which you can review here.

The Impact You'll Have
<ul>
<li>Provide high-quality support, and take ownership in responding to inquiries, issues and escalation inquiries through tickets, emails, and other channels</li>
<li>Perform problem-solving, diagnosing, and generating corrective action plans for issues</li>
<li>Work cross-functionally to resolve issues and provide customer care</li>
<li>Provide on-call support for rotations and escalations</li>
<li>Assist in monitoring production transaction volume, functionality and performance</li>
<li>Be proactive in monitoring, optimizing issuer resolution, and implementing corrective action planning</li>
<li>Interact with Product, Engineering, and Technical Operational teams to provide feedback on production support related issues and improvements</li>
</ul>
 Who You Are
<ul>
<li>2 years of experience in Technical Support, Production Support, or IT Support for B2B customers</li>
<li>Experience in payments and/or accounting systems</li>
<li>Ability to work in a customer-facing role, with strong written and verbal communication skills, with the ability to listen, show empathy, and also be able to converse with both internal and external technical and non-technical stakeholders</li>
<li>Committed, flexible through on-call rotations, and demonstrated ability to maintain high levels of productivity with minimal supervision</li>
<li>Experience with ticketing systems (such as, Jira, SalesForce, etc)</li>
<li>Good understanding of API technologies and troubleshooting (i.e.: you know what cURL does, know HTTP response codes, etc.)</li>
<li>Basic SQL knowledge should be able to modify queries for data extraction for troubleshooting</li>
<li>Comfortable working within a Linux environment</li>
<li>Experience with logging and monitoring tools such as Kibana, Splunk, AppDynamic, SumoLogic, Grafana, Datadog, and New Relic</li>
<li>The ability and desire to learn new technologies and tools</li>
</ul>
Nice to haves
<ul>
<li>Experience working at a high-growth company</li>
<li>Scriptwriting - Python, Ruby, Shell, etc</li>
<li>Ability to read/understand Java codebase</li>
</ul>
Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:
<ul>
<li>National: A baseline tier that applies to most of the geographic territory of the United States.</li>
<li>Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA</li>
<li>Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City.</li>
</ul>
Visit this page or consult with a Recruiter to determine which tier would be applicable to you.

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is:
<ul>
<li>National: $59,000 - $73,800</li>
<li>Premium: $63,900 - $79,900</li>
</ul>
We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers
<ul>
<li>Multiple health insurance options</li>
<li>Flexible time off &ndash; take what you need</li>
<li>Retirement savings program with company contribution and after tax contributions</li>
<li>Equity in a publicly-traded company and an Employee Stock Purchase Program</li>
<li>Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave</li>
<li>Free therapy sessions, financial and professional coaching, and legal advice</li>
<li>Monthly stipend to support our remote work model</li>
<li>Annual &quot;development dollars&quot; to support our people growth and development</li>
<li>Through Flex First, the freedom to live and work wherever you and your family thrive</li>
</ul><div><h4 class="jobSectionHeader">About Marqeta</h4>

Marqeta is on a mission to change the way money moves. We're one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don't need to be a Payments expert to join the Marqeta Team, let us help you with that. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all.

<h4 class="jobSectionHeader">Marqeta's Values</h4>

&ndash; Solve for the Customer: With a deep understanding of our customers' business and empathy for their needs, we deliver products and services that drive their success. Earning and keeping their trust guides everything we do.

&ndash; Do What's Right: Knowing businesses and livelihoods depend on us, we pursue solutions that disrupt responsibly and deliver high-quality results that our customers count on. We own our work from start to finish.

&ndash; Simplify and Innovate: We approach challenges with curiosity and take smart risks. Innovation comes from finding better, simpler ways to achieve extraordinary outcomes.

&ndash; Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team.

&ndash; Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right.

Equal Employment Opportunity, Accommodations and Privacy

Marqeta is an equal opportunity employer committed to an inclusive workplace that fosters belonging. We do not discriminate based on race, color, religion, sex (including pregnancy, lactation, childbirth, or related medical conditions), veteran status or uniformed service member status, age, national origin or ancestry, citizenship or immigration status, physical or mental disability, gender identity, gender expression, sexual orientation, genetic information (including testing or characteristics) or any other characteristic protected by applicable law. We also consider qualified applicants with criminal histories, consistent with legal requirements.

Marqeta endeavors to make reasonable accommodations for applicants with disabilities. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please submit this form with your specific accommodation request.

Personal data that is provided as part of the application and recruitment process is processed in accordance with the Applicant Privacy Notice. Additional information for California residents can be found here.</div></div>

Production Support Engineer

Create Music Group

<div>Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP&rsquo;s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide. 
Job Summary
We are building CreateOS &mdash; a next-generation operating system for modern record labels &mdash; and AI is at the center of it. As a Machine Learning Engineer, you will be a core builder on the team responsible for designing, training, deploying, and maintaining the ML systems that power intelligent automation, forecasting, anomaly detection, and agentic workflows across the platform.
This is a hands-on engineering role for someone who is equally comfortable prototyping a new model and shipping it to production. You will work directly with the VP of AI &amp; ML Engineering and partner closely with Data Engineering, Analytics, and Product to move AI from experimentation into reliable, scalable production systems embedded in real user workflows.
Your immediate impact will be on three of CMG's highest-priority AI initiatives: M&amp;A catalog valuation forecasting, AI-driven A&amp;R discovery, and marketing automation agents &mdash; each directly tied to revenue growth and competitive differentiation. 
Responsibilities
Applied Machine Learning<ul><li>
Build and maintain ML models for forecasting, anomaly detection, classification, ranking, and optimization across music industry use cases (catalog valuation, royalty reasoning, A&amp;R intelligence, marketing performance, etc.)</li><li>
Partner with Analytics &amp; BI to identify, engineer, and validate features that drive meaningful predictive power</li><li>
Own the full ML lifecycle &mdash; from problem framing and data exploration through training, evaluation, deployment, and monitoring</li></ul>
MLOps &amp; Production Engineering<ul><li>
Deploy and monitor models in production using modern MLOps tooling</li><li>
Instrument models for performance tracking, drift detection, and continuous improvement</li><li>
Implement CI/CD, automated testing, model versioning, and observability for all ML systems</li><li>
Collaborate with Data Engineering to ensure data quality, feature delivery, and pipeline reliability</li></ul>
Agentic AI &amp; LLM Systems (Stretch)<ul><li>
Develop and maintain modular AI agents that automate multi-step workflows across CreateOS (contracts, accounting, distribution, metadata)</li><li>
Build and iterate on RAG pipelines, retrieval architectures, and semantic search systems grounded in structured business data</li><li>
Implement guardrails, evaluation frameworks, and safe action boundaries for agentic systems</li></ul>
Collaboration &amp; Communication<ul><li>
Translate business problems from non-technical stakeholders into well-scoped ML solutions</li><li>
Document model design decisions, evaluation results, and known limitations clearly</li><li>
Contribute to a culture of engineering rigor and responsible AI development</li><li>
Other duties as assigned</li></ul>
Qualifications<ul><li>
2+ years of software engineering experience in a production environment, with exposure to ML or data science work (academic, professional, or project-based); OR 2+ years of experience specifically as an ML Engineer or Applied Data Scientist</li><li>
Strong proficiency in Python and ML frameworks (PyTorch, scikit-learn, XGBoost, or similar)</li><li>
Hands-on experience building, deploying, and monitoring models in cloud environments &mdash; GCP strongly preferred (AWS or Azure acceptable); familiarity with services such as Vertex AI, BigQuery, Cloud Functions, and Cloud Run is a strong plus</li><li>
Solid understanding of modern ML techniques &mdash; supervised/unsupervised learning, time series forecasting, embeddings, ranking &mdash; and their mathematical foundations</li><li>
Experience with LLMs and prompt engineering, including building RAG systems or LLM-powered features</li><li>
Comfortable working with structured and unstructured data at scale</li><li>
Strong communication skills with the ability to explain complex model behavior to non-technical audiences</li></ul>
Preferred Qualifications<ul><li>
MS in Machine Learning, Data Science, Business Analytics, Computer Science, Statistics, or a related quantitative field &mdash; candidates using this role as their entry point into ML engineering are encouraged to apply; OR 2+ years of experience as an ML Engineer or Applied Data Scientist in lieu of an advanced degree</li><li>
Experience at a startup or high-growth technology company where you owned features end-to-end</li><li>
Familiarity with agentic frameworks (LangChain, LangGraph, AutoGen, or similar)</li><li>
Background in music, media, entertainment, or rights/royalties data</li><li>
Experience with ontology design, knowledge graphs, or semantic data modeling</li><li>
Contributions to open-source ML projects or published research</li><li>
Familiarity with AI evaluation practices &mdash; hallucination detection, bias auditing, model explainability</li></ul>
Pay Scale<ul><li>
$160,000 - $200,000 per year</li><li>
The final compensation within this range will be determined based on the candidate&rsquo;s experience, skills, and overall fit for the role.</li></ul> 
Fair Chance Policy
In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.</div>

Machine Learning Engineer

Heart Aerospace

<div>At Heart Aerospace we develop the ES-30, a regional hybrid-electric airplane with a capacity of 30 passengers, an electric zero-emission range of 200 km and an extended hybrid range of 400 km. Heart is targeting type certification of the ES-30 by the end of the decade.

Your mission

As part of the Flight Mechanisms team, you will be responsible for design, development, validation, and eventually certification of components including primary and secondary flight control actuators, propulsion and landing gear components, and environmental control (ECS) components. You will work with electrical, software, and mechanical engineers across teams to build and fly complex systems.

Key responsibilities include but are not limited
<ul><li>The opportunity to exercise full ownership over the design, fabrication and test of novel flight components.</li>
<li>You will lead the design of crucial subcomponents including gears, bearings, seals.</li>
<li>Design, build and test components to environmental qualification standards such as DO-160G, MIL-STD-810, or similar.</li>
<li>Work will a cross-functional team developing electronic and software control systems.</li>
</ul>
(This position can be hired as a Senior Mechanical Design Engineer or Staff Mechanical Design Engineer )

Skills &amp; Requirements: 
You'll Bring These Qualifications for Senior Mechanical Design Engineer, Mechanisms
<ul>
<li>5+ years experience using CAD software in a professional environment (e.g., NX, CATIA, SolidWorks or similar).</li>
<li>Strong mechanical engineering fundamentals, including design (CAD), analysis (FEA/hand calcs), and fabrication (machine shop)</li>
<li>Experience with pneumatic, hydraulic, and/or electromechanical (motorized) systems.</li>
<li>Passion for aircraft and electrification of the aviation industry.</li>
</ul>
You'll Bring These Qualifications for Staff Mechanical Design Engineer II, Mechanisms
<ul>
<li>8+ years experience using CAD software in a professional environment (e.g., NX, CATIA, SolidWorks or similar).</li>
<li>Strong mechanical engineering fundamentals, including design (CAD), analysis (FEA/hand calcs), and fabrication (machine shop)</li>
<li>Experience with pneumatic, hydraulic, and/or electromechanical (motorized) systems.</li>
<li>Passion for aircraft and electrification of the aviation industry.</li>
</ul>
These Qualifications Would Be Nice to Have:
<ul>
<li>Thorough familiarity with aerospace design and regulatory standards (e.g., FAA, EASA) such as DO-160G, MIL-STD-810, or similar.</li>
<li>Demonstrated experience with hand-calculation methods for preliminary and verification analysis of complex mechanical systems.</li>
<li>Strong understanding of mechanical manufacturing fundamentals, including advanced GD&amp;T concepts and application for mechanisms.</li>
<li>Proven capability to take designs from concept through to analysis and production, working independently and collaboratively with cross-functional teams.</li>
</ul>
Education
<ul>
<li>Bachelor's in mechanical engineering, computer science, electrical engineering, or similar engineering discipline.</li>
</ul><div>Base Pay Range:</div>
<div>$140,000&mdash;$216,000 USD</div></div>

Mechanical Design Engineer Senior/Staff, Flight Mechanisms

Mechanical Design Engineer Senior/Staff, Flight Mechanisms New

Freeform

<div><h2 class="jobSectionHeader">SENIOR SOFTWARE ENGINEER (EMBEDDED)</h2>

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Senior Embedded Software Engineer at Freeform, you will be responsible for architecting and implementing critical embedded software systems that enable our advanced metal 3D printing factories to operate fully autonomously at high speeds with precision. This entails developing elegant software solutions for hardware control, high speed data acquisition, and custom high performance compute systems. Your software will effectively act as the nervous system of our fully automated metal printing factories. As a crucial member of the engineering team you will be responsible for driving the pace of innovation, maximizing development speed, and maintaining a standard of excellence within the entire engineering team.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities:
<ul>
<li>Architect state-of-the-art software for an advanced production-scale metal 3D printing system</li>
<li>Design and develop the machine instruction interface to the metal 3D printing system hardware</li>
<li>Develop software to enable the computer vision system, monitor sensor data, perform calibrations, log quality data, and keep track of the health of the printing system over its lifetime</li>
<li>Work with process and control engineers to integrate control algorithms into production software</li>
<li>Work with FPGA developers to develop high-speed data acquisition software</li>
<li>Create software for collection and analysis of process data</li>
<li>Develop software required to implement production automation solutions</li>
<li>Develop, unit test, and deploy functional, scalable, robust, and maintainable software</li>
<li>Generate and maintain documentation of designed software and integrated systems</li>
</ul>
Basic Qualifications:
<ul>
<li>5+ years of experience in software development using C/C++ and/or Rust</li>
<li>Experience in real-time embedded system design with Linux OS</li>
<li>Experience in object-oriented programming and design</li>
</ul>
Nice to Have:
<ul>
<li>Bachelor's, Master's or PhD in computer science, applied mathematics, engineering, or related field</li>
<li>Experience working in a high performance compute environment (FPGAs or GPUs)</li>
<li>Experience with PCIe driver development and troubleshooting</li>
<li>Experience with high speed data acquisition and real time closed-loop-control systems</li>
<li>Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems</li>
<li>Experience writing software for industrial automation systems, robotics, or related hardware</li>
<li>Creative thinker able to apply first-principles reasoning to solve complex problems</li>
<li>Excellent verbal and written communication skills</li>
</ul>
Location:
<ul>
<li>Based in Hawthorne, our vertically integrated facility brings technology development, R&amp;D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.
</li>
</ul>What We Offer:
<ul>
<li>We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.</li>
<li>We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.</li>
<li>Benefits
<ul><li>Significant stock option packages</li>
<li>100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)</li>
<li>Life insurance</li>
<li>Traditional and Roth 401(k)</li>
<li>Relocation assistance provided</li>
<li>Paid vacation, sick leave, and company holidays</li>
<li>Generous Paid Parental Leave and extended transition back to work for the birthing parent</li>
<li>Free daily catered lunch and dinner, and fully stocked kitchenette</li>
<li>Casual dress, flexible work hours, and regular catered team building events</li>
</ul></li><li>Compensation
<ul><li>As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.</li>
<li>In addition to the significant stock option package, the estimated salary range for this role is $140,000-$250,000, inclusive of all levels/seniority within this discipline.</li>
</ul></li><li>Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.</li></ul></div>

Senior Software Engineer (Embedded)

Apex Technology

<div>Spacecraft represent the most pressing unmet need across the entire aerospace industry. As more launch vehicles come online and the cost to orbit decreases, more companies launching payloads to space continue to emerge.
For the first time in history, this influx of payload companies combined with reduced launch costs has resulted in a massive increase in need for commercial spacecraft platforms, known as satellite buses. These buses hold the payloads of our customers and are flown on launch vehicles.
Apex manufactures these satellite buses at scale using a combination of software, vertical integration, and hardware that is designed for manufacturing. Our spacecraft enable the future of society: ranging from earth observation to communications and more.
We&rsquo;d love for you to join us on our mission of providing humankind access to the galaxy beyond our planet.<h1 class="jobSectionHeader">
About the Role</h1>
Apex Space is seeking a highly skilled and motivated Spacecraft Quality Engineer to join our team! The ideal candidate will have a strong background in engineering, quality assurance, and supplier management. In this role, you will be responsible for ensuring the highest standards of quality in the development and production of spacecraft hardware components. You will collaborate with multidisciplinary teams to drive quality assurance throughout the lifecycle of hardware components, from initial design and prototyping to final production and delivery.
Responsibilities:
<ul><li>Ensure all spacecraft hardware components meet or exceed quality standards through rigorous testing, inspection, and validation process adherence.
</li><li>Lead the development and execution of QMS manuals, processes, inspection instructions and forms for hardware components and subsystems.</li><li>Collaborate with design, manufacturing, and testing teams to identify and mitigate potential quality issues during the DFMA phase of product development.
</li><li>Support the development of engineering specifications and ensure alignment between design goals and quality standards.</li><li>Collaborate with cross-functional teams to define, address and mitigate quality issues from production and testing phases to delivery.
</li><li>Collaborate with leadership in the development of quality metrics, Pareto charts and related tracking methods.
</li><li>Identify opportunities for continuous improvement in hardware manufacturing processes, quality control systems, and operational procedures.</li><li>Create and maintain comprehensive documentation, including test plans, inspection reports, failure analysis reports, and quality audits.</li><li>Ensure proper risk management and compliance with industry standards such as AS9100, ISO 9001, and other applicable space industry certifications.</li><li>Identify and mitigate risks associated with supplier performance and supply chain disruptions by partnering with supply chain leadership and providing objective evidence of supplier caused rework, repair and down time.
</li><li>Lead broad CAPA and specific RCCA efforts involving multidisciplinary teams using 8D, DMAIC and other QE tools as necessary.
</li></ul>Requirements:<ul><li>U.S. Person status is required as this position needs to access export controlled data.</li><li>Bachelor&rsquo;s degree in Engineering (Mechanical, Industrial, Aerospace, or related field).</li><li>5+ years of experience in supplier development, quality assurance, or supply chain management.</li><li>Proven experience with supplier evaluation, audits, and performance management.</li><li>Knowledge of quality systems and standards (e.g., ISO 9001, AS9100).</li><li>Proficiency in data analysis and statistical process control (SPC).</li><li>Strong problem-solving and project management skills.</li><li>Excellent communication and interpersonal skills.</li><li>Ability to travel domestically and internationally as needed.</li><li>ASQ CQE/CSQP Certification is preferred.
</li><li>Working knowledge of Lean Methodology is preferred.</li></ul><h1 class="jobSectionHeader">
Why Join Apex?</h1>
Apex believes in creating a work environment that you look forward to embracing every day. Our employees love working at Apex, and we want you to love it too. We're a fast-growing startup backed by $200M in Series D funding, and we invest heavily in our people from day one.<h2 class="jobSectionHeader">
What We Offer For Full-time Employees:</h2><ul><li>
Shared upside: Receive equity in Apex, letting you benefit from the work you create</li><li>
Best-in-class healthcare: 100% company-paid medical, dental, and vision for you and your dependents, plus $100k life insurance at no cost</li><li>
Comprehensive PTO package to reset and recharge - starting at 15 days vacation, growing to 20+ days annually, plus 10 paid holidays</li><li>
Competitive 401(k) plan with generous matching - 100% match on first 3%, 50% on next 2%</li><li>
8 weeks paid parental leave plus childcare reimbursement up to $350/day for work-related travel</li><li>
Daily catered lunch and unlimited snacks to keep you fueled throughout the day</li><li>
Vibrant community: Monthly office BBQs, pickleball tournaments, run club, and social gatherings for you and your family</li><li>
Your dream desk setup and all the tools you need to be your most productive self</li><li>
World-class Playa Vista office with EV chargers, with the benefit of in-person collaboration with amazing coworkers and flexibility to integrate work and life</li><li>
Real impact opportunity: Work alongside experts from aerospace, new space, and other cutting-edge industries to make a lasting difference</li></ul>
Ready to join a team where your contributions matter and your future is bright? Let's build something extraordinary together.<h1 class="jobSectionHeader">
Equal Opportunity Employer</h1>
Apex Technology, Inc. is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
Compensation Range: $108K - $148.5K</div>

Spacecraft Quality Engineer

Hadrian

<div>
 
 Hadrian - Manufacturing the Future
 
 
 
 Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
 
 
 Valued at $1.6B, we&rsquo;re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
 
 
 Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.
 
 
 
 The Role
 
 
 
 Hadrian is building advanced software systems to automate Design for Manufacturing (DFM) analysis and accelerate precision manufacturing. Our homebuilt DFM platform analyzes design prints and CAD models to make logical, data-driven determinations about whether and how Hadrian can manufacture a part.
 
 
 We work closely with some of the best operators in the world to identify high-impact opportunities where software, computer vision, and machine learning can meaningfully augment or automate complex engineering judgment. As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis
 </li>
 <li>
 Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users
 </li>
 <li>
 Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation
 </li>
 <li>
 Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
 </li>
 <li>
 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
 </li>
 <li>
 Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
 
 
 </li>
 </ul>
 
 What Sets You Apart
 
 
 
 <ul>
 <li>
 A Master&rsquo;s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning
 </li>
 <li>
 Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning
 </li>
 <li>
 Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications
 </li>
 <li>
 Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks
 </li>
 <li>
 Prior experience with distributed training using cloud infrastructure
 </li>
 <li>
 Prior experience with visual document understanding and layout analysis
 </li>
 <li>
 Published research or achieved SOA results on an ML application
 </li>
 <li>
 Prior experience with multi-modal deep learning models
 </li>
 <li>
 You have a passion for manufacturing and believe that the industry needs better software
 </li>
 <li>
 Prior experience working in a startup environment
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 For this role, the target salary range is $160,000 - $250,000 (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
 
 
 
 <ul>
 <li>
 Medical, dental, vision, and life insurance plans for employees
 </li>
 <li>
 401k
 </li>
 <li>
 Relocation support may be provided for certain situations, based on business need.
 </li>
 <li>
 Flexible vacation policy
 
 
 </li>
 </ul>
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., 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.
 
 
 
 Hadrian Is An Equal Opportunity Employer
 
 
 
 It is the Company&rsquo;s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. 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.
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