Lead Applied NLP Research Engineer

Role: Lead Applied ML Engineer 👩🏻‍💻

Location: Remote or London (preferred). Must be UK tax-registered. 🌍

Schedule: Full-time, permanent, flex-working ⏰

NO OUTSOURCING, NO AGENCIES

The company

Algomo is an AI-powered customer service platform offering seamless customer experience across automation and human support.

🧠 Our AI utilizes autonomous AI agents capable of solving complex problems beyond the reach of traditional AI. These agents, just like humans, independently create, prioritize, and complete tasks using any accessible tools.
This has the potential to truly revolutionize customer service at a global scale.

💸Algomo is backed by the UK’s research and innovation agency, having received funding in excess of $2.7M.

🥇Our advisors are some of the world leading industry executives and professors in AI. We are now one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers.

For more information check out our candidate pack

📈 We are expanding the current team of 8, and are actively recruiting for at least 4 new roles.

🔥🛠 The market is hot and we got TONS to build!

By joining us, you’ll be part of the founding team and will inevitably shape:

• Our culture
• Who we hire
• Our design and engineering practices
• The scope and focus of our product

The role

As the Lead Applied ML Engineer, with focus on NLP, you will define new ML features, research appropriate algorithms and technologies, and rapidly get first prototypes in our customers’ hands.

Algomo is extremely product focussed, and you will work very closely with the product, engineering and business development team.

Qualities/Attitude

• Understanding that ‘perfect is the enemy of good’. This is true both in engineering as well as non-engineering roles.
• You are equally a thinker and doer
• You're equally excited about being part of a rapid growth journey and accepting the innate uncertainty and constant change.
• Good organisational skills (including time and task management, and working efficiently as part of a team)
• Work in a straight-forward, collaborative and inclusive way and is non-political;

Responsibilities

• Understand overall company strategy and identify areas where AI can help.
• Deeply understand the problem area to identify the right ML framing of product problems
• Research and identify the right algorithms and tools
• Identify areas where ML can create value for our customers
• Leading a team of machine learning engineers and data scientists, and providing guidance and mentorship to help them develop their skills and advance in their careers.
• Work with engineers to bring prototypes to production

Qualifications / Skills
Must-haves

• 4+ years of proven industry experience
• Masters degree or (ideally) PhD in a technical discipline, e.g. computer science, physics, maths)
• Expert in Python.
• Experience as the primary technical leader for a team
• Ability to optimise research code
• Knowledge of developments in experimental platforms and frameworks from across the field.
• Experience designing and training machine learning models to solve critical business problems.
• Experience with data science / ML libraries and frameworks (e.g., PyTorch) and relevant tools (eg WnB)
• Relevant scientific research experience.

Nice to have

• Relevant publications in high impact journals or at top tier venues such as NeurIPS, CVPR, ICML, ICLR, ICCV etc.
• Kubernetes
• Knowledge of data pipelining (e.g. via Airflow) and prior experience of cloud-based ML model deployment

Benefits

• "20% time" - be the most innovative you can be
• Time allocated for research publications
• Competitive Salary (£80-£120k cash) plus meaningful Equity (0.3-3%) depending on experience
• Flexible working hours - as long as the work gets done, we're happy.
• Flex work: 2 -3days per week at the office + 3 month work from anywhere. Can do full remote for the perfect candidate, as long as you are/ willing to become a UK tax resident.
• 32 days holiday per year in total (you can swap bank holidays if you want to)
• You can also roll over up to 5 days of holiday per year.
• According to glassdoor, a healthy/rewarding work environment

This is a rare opportunity to participate in shaping the development of a truly innovative and global product from the ground up and join early a startup that will soon be a growing business of exceptional engineers.

Algomo is a diverse team and we promote equal opportunities in hiring

▶️ ▶️ IMPORTANT NOTE: You are expected to have read our candidate pack before our first call, so that we can start with questions ◀️ ◀️