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 Member of Technical Staff, Machine Learning to help build and improve the ML systems powering a product used by millions.
Whom are we looking for – Member of Technical Staff, Machine Learning
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 Member of Technical Staff, Machine Learning who wants to develop strong systems judgment by working on real production ML from day one. You will contribute to core ML components across data, training, evaluation, and inference – learning how models behave outside research settings and helping turn that understanding into reliable product improvements. This is a hands-on role for an engineer who is curious, coachable, and motivated by shipping. You will work closely with senior ML engineers and product teams, gaining increasing ownership while operating under real-world constraints around latency, cost, reliability, and safety.
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.
Member of Technical Staff, Machine Learning – Key Responsibilities
- Build and improve ML components: Contribute to ML systems across data preparation, training, evaluation, inference, and iteration.
- Fine-tune and adapt models: Help fine-tune, evaluate, and integrate models as part of larger production systems.
- Develop evaluation and testing: Implement evaluation frameworks and tests to understand model behavior, quality, and failure modes.
- Strengthen data pipelines: Help build and maintain robust pipelines for real-world and synthetic data.
- Debug production issues: Investigate model failures, performance bottlenecks, and production incidents; help identify root causes and implement lasting improvements.
- Ship iteratively: Deliver improvements in small, measurable iterations and learn from real user feedback and production signals.
- Collaborate across disciplines: Work closely with senior ML engineers, product, research, and engineering teams to deliver reliable ML-powered features.
- Operate under real constraints: Build systems that account for latency, cost, reliability, observability, and safety requirements.
Member of Technical Staff, Machine Learning – Main Requirements
- Strong ML foundations: Solid understanding of machine learning fundamentals and modern neural-network architectures.
- Hands-on model experience: Some practical experience training, fine-tuning, evaluating, or deploying ML models.
- Production-quality code: You write clear, maintainable Python code and care about reliability, reproducibility, and testing.
- Framework proficiency: Experience with PyTorch and/or JAX for model development and experimentation.
- Fast learner and clear communicator: You learn quickly, communicate with precision, and improve through feedback and iteration.
- Comfort with ambiguity: You can work through open-ended problems with guidance, bring structure to your work, and steadily grow ownership.
- Bias toward shipping: You are motivated by practical impact, continuous improvement, and seeing your work reach real users.
- Quality over credentials: We hire for curiosity, engineering potential, sound judgment, 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 in production meet expected accuracy, latency, reliability, and efficiency targets.
- Production issues are identified quickly, debugged effectively, and addressed at their root cause.
- Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.
- Model and system improvements are driven by real-world signals, user feedback, and measurable outcomes.
- Strong collaboration with engineering, product, and research teams results in reliable ML-powered features.
Member of Technical Staff, Machine Learning – What is in it for you?
- Budget: $9,000 – $18000 USD/month on B2B based on your skills and position (Staff, Principal, Lead).
- 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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