Senior Machine Learning Engineer - Fully Remote

Posted Yesterday
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Hiring Remotely in Lithuania
Remote
Senior level
HR Tech • Information Technology • Professional Services • Consulting
The Role
Design, build, deploy, and optimize production-grade machine learning systems for a proactive AI platform. Own projects end to end across data curation, model training, evaluation, inference, monitoring, and iteration. Translate research into reliable systems, troubleshoot production anomalies, balance latency and cost at scale, collaborate cross-functionally, mentor engineers, and uphold high standards for robust architecture, safety, and technical execution.
Summary Generated by Built In

Do you thrive on taking complex ML models out of notebooks and building production-grade systems that run at scale? 

Are you looking for a high-impact, autonomous role where you directly own core subsystems end-to-end? 

Great, then please read on as we have a role for you.

 

Our clients mission is to fundamentally change the productivity landscape around email, calendars and note taking by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting.

Our clients engineering culture is focused on delivering high reliability for long-running workflows, maintaining persistent context, and executing real-world tasks flawlessly. By anchoring their products in practical utility and robust architecture, they are successfully minimizing model hallucinations. Ultimately, the goal is to automate personal organization so people can focus their energy on what truly matters.

Key Responsibilities

  • Design and build the core machine learning systems driving a proactive, forward-looking AI platform.
  • Take complete end-to-end ownership of your projects, from data curation and model training to evaluation, inference, and continuous iteration.
  • Translate cutting-edge research concepts into robust, highly reliable systems ready for production environments.
  • Leverage live production signals and data to troubleshoot complex model anomalies and system bottlenecks.
  • Drive a fast-paced development loop—deploy systems, analyze real-world performance metrics, refine approaches, and repeat swiftly.
  • Partner seamlessly with research, engineering, and product teams to ensure technical milestones translate directly into tangible user value.
  • Provide hands-on mentorship to fellow engineers, conduct rigorous reviews, and set a high standard for technical judgment through your own execution.
  • Optimize model architectures to strictly balance latency, computational cost, system reliability, and safety at massive scale.
 

To be a good fit for the Senior Machine Learning role, you must have:

 
  • Minimum of 5 years experience in a Machine Learning role
  • Experience with Python, PyTorch / JAX, GPU-based training and inference systems
  • Demonstrated experience building, deploying, and maintaining machine learning systems actively used in real-world environments.
  • Strong practical understanding of how modern ML models behave and fail in live production, alongside the ability to effectively mitigate edge cases.
  • Track record of writing clean, robust, production-grade code with an architectural mindset that goes far beyond simple scripting.
  • High degree of self-direction and initiative, with a proven ability to independently drive complex technical initiatives from concept to launch.
  • Ability to absorb new concepts rapidly, communicate technical trade-offs clearly, and continuously improve code and systems through iterative feedback loops.
 

Reasons to join:

  • Small founding team, building a greenfield AI email product from scratch.
  • High‑caliber engineers from top tech companies; very high technical bar.
  • Fully remote, global team, strong ownership, and visible impact.
  • Very strong reward culture (including significant equity and high comp flexibility
 

Sounds interesting? Send us your CV by applying to this page 


 

Skills Required

  • Minimum of 5 years of experience in a machine learning role
  • Experience with Python
  • Experience with PyTorch or JAX
  • Experience with GPU-based training and inference systems
  • Demonstrated experience building, deploying, and maintaining machine learning systems used in real-world environments
  • Strong practical understanding of modern machine learning model behavior, production failures, and edge-case mitigation
  • Track record of writing clean, robust, production-grade code with an architectural mindset
  • Ability to independently drive complex technical initiatives from concept to launch
  • Ability to rapidly absorb new concepts, communicate technical trade-offs, and improve systems iteratively
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The Company
HQ: Kraków
50 Employees
Year Founded: 2007

What We Do

Sowelo Consulting is a recruitment agency based in Poland that specializes in providing tailored recruitment solutions. They offer services such as executive search, recruitment process outsourcing, and IT contracting, focusing on companies hiring between 10 to 200 employees annually.

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