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- Tasks: Lead innovative projects in Machine Learning and mentor a talented team.
- Company: Join Speechmatics, a leader in Speech AI, transforming how we understand voice technology.
- Benefits: Enjoy flexible working, health benefits, and a supportive environment for personal growth.
- Why this job: Be part of a diverse team making a global impact with cutting-edge Voice AI technology.
- Qualifications: Experience in Machine Learning, strong technical writing skills, and a passion for innovation.
- Other info: Hybrid work model with 2-3 office days; inclusive culture celebrating diversity.
The predicted salary is between 43200 - 72000 £ per year.
We are hiring a Principal Machine Learning Engineer to work on cutting-edge Research & Development. As pioneers in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be at the bleeding edge of Voice AI, with STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we\’re looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional Voice AI. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. Stay current with the latest developments in Machine learning and align these with the companies goals. Identify and execute high-impact projects to ensure the team\’s success. Mentor and support team members in their growth and development. This position allows you to influence what the ML team is working towards, and to efficiently leverage other engineers to increase the output of your experience. Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards. Strong understanding of the modern Machine Learning stack, for example: – Expertise in distributed training techniques. – Strong technical writing skills as evidenced by relevant publications or blogs. The list of requirements is intended to show the kinds of experience and qualities we\’re looking for, but it is not exhaustive. Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. we\’ll do all we can to help you develop your skills and give you the tools you need to thrive. We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in-person interactions can foster. No matter what stage of your career you\’re at – from paid internships and first-job opportunities through to management and senior positions – we\’ll support you with the training and development needed to reach your career aspirations with us. We offer incredibly flexible working, regular company lunches, and birthday celebrations. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. That\’s not just about our tech – it\’s the heart and soul of who we are. Our teams thrive in an environment that celebrates and supports everyone – no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don\’t just open the door to diversity – we actively welcome it. So, come as you are and join our Speechling community. We\’re building a place where every voice not only gets heard but is also respected and valued. For more information on us, please visit our website and follow Speechmatics on our social channels via Twitter, Facebook, LinkedIn, and YouTube. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. #LI-Hybrid #J-18808-Ljbffr
Manager, Machine Learning Engineering employer: Speechmatics
Contact Detail:
Speechmatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager, Machine Learning Engineering
✨Tip Number 1
Familiarise yourself with the latest advancements in Machine Learning, especially in speech technology. This will not only help you understand our projects better but also demonstrate your passion and commitment to staying at the forefront of the field.
✨Tip Number 2
Engage with our community on social media platforms like LinkedIn and Twitter. By following us and participating in discussions, you can gain insights into our culture and values, which will be beneficial during interviews.
✨Tip Number 3
Showcase your mentoring experience and how you've supported team members in their growth. We value collaboration and leadership, so highlighting these skills can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss high-impact projects you've executed in the past. Be ready to explain how these align with our goals at StudySmarter, as we are looking for someone who can identify and drive significant initiatives.
We think you need these skills to ace Manager, Machine Learning Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and engineering practices. Focus on projects that demonstrate your expertise in distributed training techniques and any publications or blogs that showcase your technical writing skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for voice technology and how your background aligns with the company's mission to 'Understand Every Voice'. Mention specific projects or experiences that relate to their cutting-edge work in Speech AI.
Showcase Your Impact: When detailing your previous roles, emphasise high-impact projects you have executed. Highlight how these projects contributed to team success and aligned with broader company goals, demonstrating your understanding of the big picture.
Prepare for Technical Questions: Anticipate technical questions related to machine learning and software engineering practices during the interview process. Brush up on the latest developments in ML and be ready to discuss how you would apply them in the role.
How to prepare for a job interview at Speechmatics
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with the modern Machine Learning stack, particularly in distributed training techniques. Highlight any relevant projects or publications that demonstrate your technical writing skills and understanding of cutting-edge ML developments.
✨Align with Company Goals
Research the company's mission and recent advancements in Voice AI. During the interview, articulate how your skills and experiences align with their goals, especially in relation to their focus on innovation and inclusivity in speech technology.
✨Demonstrate Leadership and Mentorship
As a potential manager, it's crucial to convey your ability to mentor and support team members. Share examples of how you've helped others grow in their careers and how you plan to foster a collaborative environment within the team.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges or case studies during the interview. Practice articulating your thought process and problem-solving approach, as this will showcase your analytical skills and ability to execute high-impact projects effectively.
