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- Tasks: Develop and fine-tune machine learning models and analytical pipelines.
- Company: Toggle creates innovative technologies that transform user engagement and data management.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Join a team driving AI innovation and make a real impact on global users.
- Qualifications: Bachelor's degree in a quantitative field and 4 years of experience in Machine Learning or AI.
- Other info: Diversity is key at Toggle; we value varied perspectives to enhance our products.
The predicted salary is between 36000 - 84000 £ per year.
London, England, United Kingdom, New York, New York, United States
Minimum Qualifications
- Bachelor’s degree in Computer Science, Software Engineering or other Quantitative field (e.g. Physics, Mathematics, Statistics) or equivalent practical experience.
- 4 years of experience in Machine Learning, NLP or other applied AI.
- Experience in coding, unit testing, and scripting in one or more languages (Python, C, C++ or Go).
Preferred Qualifications
- Experience with deep learning frameworks (such as TensorFlow, PyTorch, transformers).
- Experience with model training/deployment frameworks, e.g., MLflow, Triton Inference Server, Torch Server or Text Generation Inference.
- Experience in delivering complex Artificial Intelligence (AI) or data analytics projects.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load (ETL) and reporting/analytic tools and environments such as Apache Beam, Hadoop, Spark.
- Demonstrated ability to translate business problems in AI projects.
Responsibilities
- Develop and fine-tune machine learning models, craft analytical pipelines, and orchestrate their integration into high-capacity production environments.
- Foster productive cross-functional communication with Product teams, actively proposing AI-driven enhancements for novel product features.
- Execute rigorous technical assessments, perform thorough code audits, and lead design reviews to ensure the highest standard of quality and performance.
- Engage in in-depth technical exploration of diverse machine learning solutions, technology stacks, and infrastructure to drive innovation and optimization.
About The Job
Toggle’s software engineers drive the development of cutting-edge technologies that transform how millions of users connect, explore information, and engage with the market. Our products must effectively manage vast amounts of data and go far beyond generating investment insights. We seek engineers who bring innovative concepts from diverse fields such as information retrieval, distributed computing, designing large-scale systems, networking, data storage, cybersecurity, artificial intelligence, natural language processing, mobile and UI design – the range continues to expand constantly.
As a Machine Learning and AI Engineer, you will design and implement Machine Learning solutions for internal and customer use cases, leveraging best of breed products including TensorFlow/PyTorch, DataFlow, OpenAI, LLAMA, and Vertex AI. You will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will document, design, secure, maintain, and enhance software solutions.
Toggle aims to become an inclusive organization that mirrors the globally varied audience benefiting from our products and technology. We firmly believe that a diversity of viewpoints, concepts, and cultures not only enriches our workforce but also results in the development of superior products and services.
At its core, Toggle embodies an engineering ethos. We recruit individuals with a wide array of technical proficiencies who are prepared to confront some of technology’s most significant hurdles and leave a mark on global users. Within Toggle, engineers not only pioneer advancements in the investment space but also routinely address scalability and storage solutions, develop large-scale applications, and introduce entirely novel platforms for other developers.
Notice
Toggle does not accept agency resumes. Please do not forward resumes to our jobs alias, Toggle employees, or any other organization location. Toggle is not responsible for any fees related to unsolicited resumes.
Salary Range
$50,000 – $210,000 USD
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Machine Learning and AI Engineer employer: Tbwa Chiat/Day Inc
Contact Detail:
Tbwa Chiat/Day Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning and AI Engineer
✨Tip Number 1
Make sure to showcase your experience with machine learning and AI projects during the interview. Be prepared to discuss specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 2
Familiarize yourself with the latest trends in machine learning frameworks like TensorFlow and PyTorch. Being able to speak knowledgeably about these tools can set you apart from other candidates.
✨Tip Number 3
Highlight any experience you have with cross-functional teams. Since collaboration with Product Management and Engineering is key, showing that you can effectively communicate and work with diverse teams will be a big plus.
✨Tip Number 4
Prepare to discuss how you've translated business problems into AI solutions in the past. This will demonstrate your ability to align technical work with business objectives, which is crucial for this role.
We think you need these skills to ace Machine Learning and AI Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 4 years of experience in Machine Learning, NLP, or applied AI. Include specific projects or roles where you utilized these skills, especially if they involved coding, unit testing, or scripting.
Showcase Technical Skills: Clearly list your proficiency in programming languages such as Python, C, C++, or Go. If you have experience with deep learning frameworks like TensorFlow or PyTorch, be sure to mention those as well.
Demonstrate Problem-Solving Abilities: Provide examples of how you've translated business problems into AI solutions. This could include details about complex AI or data analytics projects you've delivered successfully.
Tailor Your Application: Customize your resume and cover letter to align with the responsibilities mentioned in the job description. Highlight your ability to develop machine learning models and work collaboratively with product teams to enhance features.
How to prepare for a job interview at Tbwa Chiat/Day Inc
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like TensorFlow and PyTorch. Highlight specific projects where you developed or fine-tuned models, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've translated complex business problems into AI solutions. Discuss your approach to identifying the right algorithms and techniques for different scenarios, showcasing your analytical thinking.
✨Communicate Effectively
Since cross-functional communication is key, practice explaining technical concepts in a way that non-technical stakeholders can understand. Be ready to discuss how you've collaborated with product teams to propose AI-driven enhancements.
✨Stay Updated on Industry Trends
Familiarize yourself with the latest advancements in AI and machine learning. Be prepared to discuss emerging technologies and how they could be applied to improve products at Toggle, demonstrating your passion for innovation.
