Itentio IT Recruitment
We are partnered with a rapidly growing, well-funded AI-native startup building the next generation of proactive smart assistants for everyday users. Their mission is to fundamentally change how people communicate and get things done — bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting, reducing time spent on everyday tasks by over 90%. Due to continued product expansion and global traction, they are expanding their engineering team and looking for a Senior Machine Learning Engineer to own critical ML subsystems in production and help shape the intelligence behind a product used by millions.
Whom are we looking for – Senior Machine Learning Engineer
Location: 100% Remote (Poland-based)
About the Company and the Position
Our client is building a high-reliability, AI-first application focused on long-running workflows, persistent context, and real-world task completion. The system handles multi-step reasoning, interacts with external tools, and remains robust despite non-deterministic model behavior. We are looking for a Senior Machine Learning Engineer who operates as an independent owner of critical ML subsystems — someone who takes ambiguous problems, designs practical solutions, and ships systems that run reliably at scale. This is a hands-on, high-impact role focused on depth, not breadth.
Why is it worth joining this company?
- Founding team impact: Build core ML systems powering a global AI product from Day 1 alongside a world-class, high-talent-density engineering team.
- Meaningful ownership: End-to-end ownership of ML subsystems — from data preparation and training through evaluation, inference, and iteration.
- Fast-tracked growth: Clear growth paths and exposure to impactful, challenging ML problems that actively expand your skillset.
- High-trust culture: A remote-first environment that values engineering judgment, accountability, and results — over credentials, titles, or Big Tech pedigree.
- Competitive package: Attractive cash + equity compensation, with comprehensive benefits including health, dental, and life insurance.
Senior Machine Learning Engineer – Key Responsibilities
- Build core ML systems: Design and ship ML systems that power a proactive, long-horizon AI product operating reliably at scale.
- Own work end-to-end: Take full ownership across data preparation, training, evaluation, inference, and iteration cycles.
- Bridge research and production: Turn research ideas into working, production-grade systems that run reliably under real-world constraints.
- Debug and resolve production issues: Identify and resolve model failures and system issues using real production signals with minimal disruption.
- Iterate with speed and precision: Ship, measure outcomes, refine, and repeat — maintaining a high bar for quality at each step.
- Cross-functional collaboration: Work closely with research, product, and engineering teams to deliver measurable user impact.
- Mentor and elevate peers: Provide technical guidance and mentorship to other ML engineers through example and sound engineering judgment.
- Operate under production constraints: Deliver solutions that meet real-world requirements around latency, cost, reliability, and safety.
Senior Machine Learning Engineer – Main Requirements
- Production ML track record: You have built and shipped ML systems used by real users – not just research prototypes.
- Deep model understanding: You understand how modern ML models behave – and misbehave – in production environments.
- Production-quality code: You write strong, maintainable code and think in systems, not scripts.
- Independent ownership: You take initiative, work autonomously, and drive work across the finish line without hand-holding.
- Fast learner and clear communicator: You learn quickly, communicate with precision, and improve through rapid iteration.
- GPU training and inference experience: Hands-on experience with GPU-based training and inference systems at scale.
- Framework proficiency: Strong command of PyTorch and/or JAX for model development and experimentation.
- Quality over credentials: We hire for engineering judgment, technical depth, and ownership – not degrees, Big Tech background, or seniority titles.
Tech Stack
- Core: Python
- Frameworks: PyTorch / JAX
- Infrastructure: GPU-based training and inference systems
What Success Looks Like
- ML models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets
- Complex production issues are monitored, debugged, and resolved with minimal disruption
- Training, inference, and data pipelines are robust, scalable, and maintainable over time
- Measurable improvements in ML systems driven by real-world signals and user feedback
- Mentorship that raises the overall ML engineering standard across the team
- ML features integrate seamlessly into product and meet business goals through strong cross-functional collaboration
Senior Machine Learning Engineer – What is in it for you?
- Budget: $9,000 – $12,500 USD/month on B2B
- Comprehensive benefits: Option to enroll in health, dental, and life insurance.
- 100% remote setup with full flexibility over your hours in a high-trust, autonomous culture.
- Opportunity to shape core ML architecture of a product built for a global audience from Day 1.
- Budget for continuous learning, courses, and self-development.
The Next Step for you:
Is this a new challenge for you? If you want to become a valuable part of this team and help bring practical AI benefits to billions of users globally, we would like to hear from you. Please apply via the contact form below
Itentio IT Recruitment privacy and equal opportunity statements:
By submitting the recruitment application, you consent to the processing of your personal data contained therein. The controller of your personal data is Vladyslav Muzhylivskyi operating under the business name Vladyslav Muzhylivskyi Itentio with its registered office in Kraków (Tax ID: 6751522794). Personal data will be processed in order to carry out the recruitment process for the position specified in the job offer, including for the purpose of assessing the qualifications for work in this position. You can withdraw your consent at any time, which, however, does not affect the legality of the processing that was carried out on its basis before its withdrawal. You have the right to request access to your data, to rectify it, delete it or limit its processing, as well as the right to transfer your personal data, the right to object to data processing and the right to lodge a complaint with the supervisory authority for the protection of personal data. Additional information on the processing of personal data is in our Privacy Policy available at https://itentio.com/privacy-policy/.
Please note that all applications are treated with strict confidence. Itentio IT Recruitment will never share your data outside our organization without your written consent. Itentio is an equal-opportunity recruitment company and values diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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