Staff Machine Learning Scientist (Applied AI, Remote)
JobgetherPoland2 days ago
Full-timeRemote FriendlyInformation Technology
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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Machine Learning Scientist (Applied AI) in EMEA.
As a Staff Machine Learning Scientist (Applied AI), you will play a central role in shaping and scaling next-generation AI-powered data products. Working within a high-impact, global, and fully remote environment, you'll use advanced ML, data science, and statistical modeling to transform complex datasets into meaningful insights that drive real-world business decisions. This role blends innovation with practical application — designing, training, and deploying models that redefine how engineering and product teams understand product quality and user experience. You'll collaborate with engineers, product managers, and customer teams to deliver intelligent, production-ready solutions that elevate the company's AI capabilities and customer value.
Accountabilities
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job's core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then made by their internal hiring team.
Thank you for your interest!
As a Staff Machine Learning Scientist (Applied AI), you will play a central role in shaping and scaling next-generation AI-powered data products. Working within a high-impact, global, and fully remote environment, you'll use advanced ML, data science, and statistical modeling to transform complex datasets into meaningful insights that drive real-world business decisions. This role blends innovation with practical application — designing, training, and deploying models that redefine how engineering and product teams understand product quality and user experience. You'll collaborate with engineers, product managers, and customer teams to deliver intelligent, production-ready solutions that elevate the company's AI capabilities and customer value.
Accountabilities
- Partner with product and engineering leaders to define and implement AI-driven data products and predictive systems
- Explore and model complex datasets using advanced statistical, ML, and deep learning techniques to derive actionable insights
- Prototype, validate, and deploy scalable models in production, ensuring performance, accuracy, and fairness
- Develop and apply solutions across NLP, recommendation systems, anomaly detection, and predictive analytics
- Design and maintain ML pipelines and MLOps frameworks to support continuous deployment and monitoring
- Collaborate cross-functionally to translate technical outputs into business insights that inform product and strategic decisions
- Mentor team members, promote best practices in applied ML, and contribute to the company's broader data science strategy
- Continuously evaluate emerging AI technologies and methods to identify opportunities for innovation and improvement
- Master's or PhD in Computer Science, Data Science, Statistics, or a related field
- 10+ years of hands-on experience designing, implementing, and deploying end-to-end ML and statistical models
- Proven expertise in Python, with deep knowledge of ML and deep learning frameworks such as PyTorch and TensorFlow
- Strong experience with NLP, recommendation engines, anomaly detection, and predictive modeling
- Advanced understanding of LLMs and SLMs, including fine-tuning, training strategies, and deployment optimization
- Experience building robust MLOps systems for model lifecycle management, deployment, and monitoring
- Proficiency in SQL, data visualization tools, and cloud platforms such as AWS or Azure
- Strong communication and collaboration skills, with the ability to translate complex technical outputs into actionable insights
- Curiosity, creativity, and adaptability — with a genuine passion for continuous learning and innovation in AI
- Fully remote role open to residents across the EMEA region
- Competitive compensation in USD or EUR, paid monthly via Wise
- Stock option opportunities to share in company growth
- 24 days of paid time off per year, plus national holidays and sick leave
- $300 annual learning stipend for professional development
- Flexible working hours with a focus on results and sustainable work-life balance
- Inclusive, supportive company culture where diversity and collaboration drive success
- Opportunity to contribute to a fast-growing, profitable, and innovation-driven global business
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job's core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then made by their internal hiring team.
Thank you for your interest!
Key Skills
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