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91,000+ live jobsSenior Backend Engineer: Machine Learning Infrastructure
Remote, EMEA +1Β·Full-timeΒ·Added 2 months ago (last checked 26 Oct)
14 open roles
Our summary
- Salary
- US$80,000 - US$120,000 a year
- Work mode
- Remote (EMEA / United Kingdom)
- Contract
- Full-time
- English
- Required
- Experience
- 5+ years





Visa options
The ad doesnβt mention sponsorship
Not a refusal, but not a yes. Worth asking in your first message.
May fit the digital nomad visa
A remote job for a company outside Spain: you apply yourself, no sponsor needed. It asks for about β¬2,849 a month in remote income.
Skills
Nice to have
Requirements
What we're looking for
5+ years of professional experience in backend or platform engineering
Extensive Python knowledge (our primary language)
Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes - AWS is our primary platform, but we're not limited to it
Experience designing and building distributed, high-load services and APIs
Strong knowledge of data structures, algorithms, and their trade-offs
Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools - but you lead with system design and a strong understanding of their applicability and trade-offs
Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes
You are friendly and willing to help your teammates & others
Nice to have
Experience with Rust (or C/C++/Go) - a strong plus
Experience developing or contributing to ML platforms or ML infrastructure - a strong plus
Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.) - a strong plus
Experience with model serving / inference infrastructure, including LLMs
Experience with Infrastructure as Code (Terraform or similar)
Pay & benefits
What you'll get
ποΈ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
π Fully remote team - choose where you live
ποΈ Work from home stipend! We want you to have the resources you need to set up your home office
π» Apple laptops provided for new employees
π§π Training and development budget for every employee, refreshed each year
πͺ Maternity & Paternity leave for qualified employees
π§ Work with smart people who will help you grow and make a meaningful impact
π΅ Base salary: $80k-$120k USD, depending on knowledge, skills, experience, and interview results
π Stock options - offered in addition to the base salary
π Regular team offsites to connect and collaborate
The role
The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor's ML and product teams rely on to develop, deploy, and run machine learning at scale - from model serving (including LLMs) to the specialized storages and data pipelines behind it.
We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We're looking for a Senior Backend Engineer who is comfortable with, and motivated by this dynamic, and who will take end-to-end ownership of core services.
In the near and mid-term, our focus areas include:
Making ML workloads easy to run, scale, and operate for every team
Providing self-service, configurable infrastructure components to ML and product teams
Owning and evolving core ML services and related pipelines with a high bar for reliability and performance
What you'll do
Design, build, and operate high-load distributed backend services that power the company's ML infrastructure
Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement
Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities
Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome
Be responsible for what you and your team do
About Constructor
Constructor is a product discovery and search platform for e-commerce businesses, offering AI-powered search, merchandising, and personalization solutions. The company serves major online retailers and brands, helping them improve conversion rates and customer engagement through advanced machine learning and natural language processing. Founded in 2015, Constructor has grown into a recognized player in the e-commerce technology space, with a global client base and a distributed team.
- Industry
- E-commerce
- Founded
- 2015
- Employees
- 100β500
- Headquarters
- San Francisco, USA
- In Spain
- Madrid
Good to know if you are moving
- Constructor has a strong engineering presence in Spain, with a major office in Madrid, making it a viable option for tech professionals relocating to Spain.
- The company offers a remote-friendly culture, which can provide flexibility for international hires.
- As a growing scale-up, Constructor offers opportunities for career advancement and impact in a fast-paced environment.
- The company works with global e-commerce clients, offering exposure to international markets and cross-border collaboration.
In their own words
About the company & team
Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
Additional information
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized.
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