Janea Systems
Lead Machine Learning Engineer
Remote Lead Machine Learning Engineer role with clear candidate location fit.
PostedJul 4, 2026
Eligible countries42 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Role overview
Lead Machine Learning Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Details
- 8+ years of experience in software engineering, machine learning engineering, or applied AI.
- 3+ years of experience in technical leadership or mentoring engineering teams.
- Strong experience developing and deploying machine learning models in production environments.
- Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or similar.
- Experience designing scalable ML systems and data pipelines.
- Strong programming skills in Python and experience with backend or distributed systems.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Experience with containerization and deployment technologies (Docker, Kubernetes).
- Strong understanding of MLOps practices and model lifecycle management.
- Excellent problem-solving skills and ability to work independently in remote environments.
- Strong written and spoken English communication skills.
- Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Ideal candidates will also have:
- Experience working with LLMs, generative AI systems, or deep learning architectures.
- Experience building ML platforms or internal AI tooling.
- Familiarity with distributed training and large-scale data processing frameworks.
- Experience with feature stores, model monitoring, and ML observability tools.
- Experience delivering ML solutions in client-facing consulting environments.
Ideal candidates will also have:
- Competitive compensation with benefits, paid vacation, and sick leave.
- The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineeringchallenges.
- Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary.
- An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.
- Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.
Similar roles
Keep a backup shortlist.
AWS, Kubernetes 8 accepted countries
Senior Backend Engineer (AdTech)Leap ToolsView role AWS, Kubernetes 8 accepted countries
Senior Backend EngineerLeap ToolsView role AWS 8 accepted countries
Senior Software EngineerBaltimore BannerView role AWS 8 accepted countries
Talent Community| Senior JavaScript Full Stack EngineerHiring teamView role Stack
Use these tags to compare similar remote roles.
Location eligibility
Candidates should apply only when their profile country is listed here.
Your profileCountry not setSign in to check your country against this role.
View all 42 accepted countries
AlgeriaAustriaBelarusBelgiumBulgariaCroatiaCyprusCzechiaDenmarkEgyptEstoniaFinlandFranceGeorgiaGermanyGreeceHungaryIcelandIrelandIsraelItalyKenyaLatviaLithuaniaLuxembourgMaltaMoldovaMoroccoNetherlandsNorwayPolandPortugalRomaniaSlovakiaSloveniaSouth AfricaSpainSwedenSwitzerlandTunisiaUkraineUnited Kingdom
Hiring flow
WithMira shows the role, then sends candidates to the company application.
1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.