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- Tasks: Design and develop machine learning models to enhance user experience and drive product strategy.
- Company: Fast-growing software development organisation pushing the limits of technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a team shaping the future with AI and machine learning in exciting tech fields.
- Qualifications: Experience in machine learning, Python proficiency, and a passion for emerging technologies.
- Other info: Collaborative culture with high ownership and real-world impact on innovative projects.
This range is provided by TechChain Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $300,000.00/yr - $350,000.00/yr
Who We Are
Our client is a fast-growing software development organization made up of high-performing builders pushing the limits of what's possible. Our team contributes to large-scale, globally used products in the crypto and social technology space. We move quickly, operate with high ownership, and build for the future.
What You'll Do
- As a Machine Learning Scientist, you will play a key role in applying AI and machine learning techniques to shape the next generation of our platforms.
- You'll collaborate with top-tier engineers and product teams to develop advanced models powering personalization, recommendations, search, and real-time decision-making.
Responsibilities
- Designing and developing machine learning models that improve user experience, enhance predictive performance, and enable smarter platform interactions.
- Helping build scalable data pipelines and leveraging large datasets to generate insights that influence product strategy.
- Assisting in developing and optimizing ML infrastructure to ensure scalability, efficiency, and readiness for production deployment.
- Working closely with product and engineering teams to integrate ML models into the platform with seamless, real-time performance.
- Monitoring, optimizing, and iterating on deployed models to ensure robustness in dynamic, real-world environments.
- Collaborating with engineering and data science teams to solve complex technical challenges, including large-scale, decentralized data processing.
- Staying up to date with the latest research and industry advancements to introduce new ideas, techniques, and approaches.
Who You Are
- An experienced Machine Learning Scientist with strong foundations in algorithms, data structures, or statistical modelling.
- Proficient in Python, with hands-on experience deploying models into production environments.
- Comfortable maintaining ML infrastructure, including deployment pipelines, monitoring tools, and systems designed for scaling data and models (preferred).
- Experienced in fast-paced, high-performance environments, ideally within high-growth start-ups or scaling tech companies.
- Passionate about leveraging machine learning to create real-world impact, with interest in emerging technologies such as blockchain, crypto, and SocialFi.
- A problem-solver who enjoys tackling complex challenges and experimenting with new technologies, especially those shaping decentralized applications.
- Highly collaborative, able to communicate technical concepts clearly to both technical and non-technical audiences.
- High-agency, ownership-driven, and capable of independently leading projects end-to-end.
Please email for more information: joseph@techchaintalent.xyz
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology, Science, and Other Industries Technology, Information and Media and IT System Data Services
Machine Learning Scientist employer: TechChain Talent
Contact Detail:
TechChain Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to machine learning. You never know who might have a lead on your dream job or can introduce you to someone at TechChain Talent.
✨Show Off Your Skills
Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, make sure to highlight your best work. This is your chance to demonstrate your expertise and passion for the field!
✨Ace the Interview
Prepare for technical interviews by brushing up on algorithms, data structures, and statistical modelling. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so show them what you've got!
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at TechChain Talent.
We think you need these skills to ace Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Scientist role. Highlight your experience with algorithms, data structures, and any relevant projects that showcase your skills in Python and model deployment.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background aligns with our mission at StudySmarter. Don’t forget to mention any experience with emerging technologies like blockchain or crypto!
Showcase Your Problem-Solving Skills: In your application, include examples of complex challenges you've tackled in previous roles. We love seeing how you approach problems and what innovative solutions you've come up with, especially in fast-paced environments.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at TechChain Talent
✨Know Your Algorithms
Brush up on your understanding of algorithms and statistical modelling. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in machine learning projects. This will show your depth of knowledge and practical experience.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed and deployed machine learning models. Highlight the challenges you faced, how you overcame them, and the impact your work had on user experience or product strategy.
✨Collaborate and Communicate
Since collaboration is key in this role, think of examples where you've worked closely with engineers or product teams. Be ready to explain complex technical concepts in simple terms, as this will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Stay Current with Trends
Familiarise yourself with the latest advancements in AI and machine learning, particularly in areas like blockchain and decentralised applications. Being able to discuss recent research or emerging technologies will show your passion and commitment to staying at the forefront of the field.
