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- Tasks: Join us as a Senior Machine Learning Engineer to shape AI technology for financial services.
- Company: Be part of a dynamic team focused on building trust in financial service providers.
- Benefits: Enjoy a competitive salary, equity, flexible working policy, and 25 vacation days.
- Why this job: Make a real impact by solving complex problems with cutting-edge machine learning techniques.
- Qualifications: Bachelor's or Master's in Computer Science, 5+ years in ML, and 3+ years in NLP required.
- Other info: Work closely with a founding team experienced in scaling tech products.
The predicted salary is between 48000 - 84000 £ per year.
Our products create trust for financial service providers (our customers) to seamlessly verify, onboard, and monitor businesses (their clients).
We are looking for a Founding Machine Learning Engineer (Natural Language Processing) to join our team. You will be an early shaper of the design and architecture of the core AI technology powering the product, and work closely with the founding team to deliver 10x value to our clients.
We will be shipping code frequently and learning as we go while satisfying all critical security, performance, and uptime requirements for our clients.
Our leadership team has experience building products, scaling teams, and optimizing for growth while working with ambitious engineers from tech unicorns.
If you’re passionate about building products that make a complex problem easy this job is for you. Research and experiment with the core algorithms and ML models that will power our platform (intelligent document processing, web data parsing and classification, search and matching)
Move results of your research to production, owning training and deployment pipelines, as well as inference backend services
Impact and shape the data science culture
Continuously improve data science practices and processes
Bachelor’s or Master’s degree in Computer Science or a related field
~5+ years of experience in machine learning and/or data science
~3+ years of experience in Natural Language Processing – LLMs, classical NLP methods, NER models, syntax parsers, text embeddings & approximate nearest neighbors search
~ Experience with any of the following NLP tasks – named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction
~ Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory
~ Strong knowledge of Python & SQL
~ Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain)
~ Experience serving Neural Networks in production (PyTorch, ONNX, TorchServe, Triton)
~ Experience developing & maintaining production ML services
~ Experience with ad-hoc analytics, data visualisation, and BI tools (Superset, Redash, Metabase)
~ Experience writing data processing pipelines & ETL (Python, Apache Spark)
~ Experience with web scraping
Competitive salary package (including equity)
~ Flexible working policy (hybrid)
~ 25 vacation days
~
Senior Machine Learning Engineer (M/F/D) employer: Stealth Startup
Contact Detail:
Stealth Startup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (M/F/D)
✨Tip Number 1
Familiarize yourself with the latest advancements in Natural Language Processing, especially focusing on Large Language Models and their applications. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the machine learning community by participating in relevant forums, attending meetups, or contributing to open-source projects. This can help you build connections and gain insights that could be beneficial when applying for the role.
✨Tip Number 3
Prepare to discuss your past experiences with deploying machine learning models in production. Be ready to share specific examples of challenges you faced and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Research our company culture and values to align your approach during the interview process. Understanding what we prioritize at StudySmarter will help you articulate how you can contribute to our mission effectively.
We think you need these skills to ace Senior Machine Learning Engineer (M/F/D)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and natural language processing. Focus on relevant projects, technologies you've worked with, and any specific algorithms or models you have implemented.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building products that simplify complex problems. Mention how your background aligns with the company's mission and how you can contribute to shaping their AI technology.
Showcase Relevant Projects: Include specific examples of projects where you have applied NLP techniques or machine learning models. Discuss the impact of these projects and any measurable outcomes that demonstrate your expertise.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to machine learning or NLP that you have completed. This shows your commitment to staying updated in a rapidly evolving field.
How to prepare for a job interview at Stealth Startup
✨Showcase Your NLP Expertise
Be prepared to discuss your experience with Natural Language Processing in detail. Highlight specific projects where you've implemented LLMs, NER models, or other relevant techniques. This will demonstrate your hands-on knowledge and ability to contribute to the team.
✨Demonstrate Problem-Solving Skills
Since the role involves tackling complex problems, be ready to share examples of how you've approached challenging tasks in the past. Discuss your thought process and the algorithms you used to arrive at solutions, especially in the context of intelligent document processing or entity matching.
✨Familiarize Yourself with Their Tech Stack
Research the tools and technologies mentioned in the job description, such as PyTorch, Huggingface Transformers, and Apache Spark. Being knowledgeable about these will not only help you answer technical questions but also show your enthusiasm for the role.
✨Emphasize Collaboration and Culture Fit
As a founding member, your ability to work closely with the team is crucial. Share experiences that highlight your collaborative spirit and how you've contributed to shaping a positive data science culture in previous roles.
