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WeFarm

Machine Learning Engineer

London, United Kingdom

04 October, 2019

Salary

Competitive

Contract type

Full time

Technologies & frameworks

  • machine learning
  • clojure
  • NLP
  • Python

Benefits & perks

  • Flexible working
  • Team lunches
  • Daily stand up
  • Stock options
  • Casual dress
  • Stocked kitchen
  • Training
  • 25 days holiday
  • Bike friendly
  • Laptop

To sum it up...

Enables farmers to share and access information using machine learning and NLP!

Role overview

We are a unique social enterprise providing a vital service for the world’s 500 million smallholder farmers who live and work without internet access. This pioneering, peer-to-peer platform enables farmers to access crowdsourced information by SMS, creating social impact on a groundbreaking scale and generating a game-changing data feed through the use of cutting edge AI techniques.

In just one year WeFarm has scaled to more than 72,000 farmers across Kenya, Uganda and Peru, has facilitated over 11.5 million interactions and featured in the FT, Forbes, Wired.co.uk, as well as winning awards from Google’s Impact Challenge, The Venture and the European Commission’s Ideas From Europe.

Would you like to change the world and create social impact on a global scale? Do you want every LOC you write to save livelihoods? Are you passionate, ambitious, and driven? Then apply to join the UK’s most exciting VC backed tech start-up today!

Role

For the next stage in our growth, we are looking for a Senior Machine Learning Engineer (MLE) to help us to develop our next generation of Machine Learning (ML).

At Wefarm, you’ll have a direct impact on millions of lives by building products that connect farmers to the information, services, and products they need to grow. You’ll have a unique opportunity to develop Natural Language Processing (NLP) tools in multiple regional, under-resourced languages – enabling fair access to ML for all.

You will be responsible for:

  • Developing a team – You’ll manage a team responsible for building ML libraries, tools, and algorithms, ensuring these work in-production and at scale. You’ll grow this team, hiring new staff members to add capabilities and perspectives. You’ll develop your team members’ skills through disseminating your experience and existing knowledge about ML, as well as strategically identifying opportunities for them to grow.
  • Driving research & development – We expect you to keep up-to-date with the latest developments in ML, communicating new opportunities to the whole team. You’ll evaluate and implement new-to-Wefarm technologies and services. You will take a lead role in planning and prioritising Wefarm’s ML capacities, including NLP in new languages, better candidate selection algorithms, and infrastructure.
  • Ensuring algorithmic fairness – At Wefarm, we understand that our farmers are the experts. Our product should be relevant, efficient, and intuitive: no matter your language, background, or culture. As part of this, you’ll be expected to lead a culture of algorithmic fairness in your team: understanding algorithmic bias, how it can manifest, and how to minimise it through good design.
  • Efficient & focused collaboration – You and your team will work closely with the Product and Engineering teams to design, build, and deploy new features and products. You’ll assist the Analytics and Insights team with additional technical support and training where necessary.

About you

We are looking for someone who is passionate about solving complex global issues that affect billions of people, and want to help build a company at the forefront of accessible and fair ML.

In addition, you should be:

  • A passionate leader – You have the ability to lead a team to success, with experience hiring and mentoring. We’re looking for someone who can act a technical multiplier for their team. You’re always looking to develop your own leadership skills.
  • Commercially minded & focused – You understand Wefarm’s model relies on commercial success and growth towards financial self-sustainability. You focus on company priorities and ensuring your team gets to agreed outcomes as quickly and efficiently as possible.
  • An individual contributor – You have significant previous experience with ML, and have deployed ML in production systems and at scale. You’re fluent in at least one programming language. As part of the role you’ll be expected to become proficient in Clojure and other technologies currently used in Wefarm.

Location

London is the capital of the United Kingdom, situated in the South East of the island. The world's largest financial centre, London is also often referred to the culture capital of the world. The city is well-known for its heritage, including Buckingham Palace, the Tower of London, Kew Gardens, Westminster Abbey, and the historic settlement of Greenwich. London Underground is the oldest urban railway network in the world.

Technology workers in London earn 60pc more than the city average, with the figure even higher for foreign born workers, who earned 28pc more than their British counterparts in tech jobs. London can be considered as a center for professional relocation. Furthermore, there are over 100 of Europe's 500 largest companies' headquarters in London.

The city is famous for unpredictable weather. For instance, it could be cold, warm and rainy in one day and it’s often the topic of conversation across the city.

Did you know...

  • 2.5M people, one third of Londoners, are foreign born
  • 40% of Greater London is green space
  • 10-49
  • London, United Kingdom

Over 1 billion smallholder farmers produce 80% of the world's food, and four of the five most traded commodities on earth, yet the vast majority lack access to the internet and even basic information to help them solve problems or share ideas. No one has built a platform for these farmers. Until Wefarm. Wefarm is already the world’s largest farmer-to-farmer digital network, with more than 1 million farmers using our ecosystem in Kenya and Uganda alone. Our farmers share more than 40,000 questions and answers every day. Farmers connect with one another to solve problems, share ideas, and spread innovation, for free, and without needing an internet connection (Wefarm works even through SMS). Utilising the latest machine learning technology, Wefarm’s service gets bespoke, crowd- sourced information to help farmers increase yields, gain insight into pricing, tackle the effects of climate change, source the best quality seeds, fertiliser, and loans and diversify their agricultural interests. With the smallholder global agricultural market valued at over 400 billion USD, our vision is to create a digital online/ offline ecosystem for global smallholder agriculture. WeFarm has won Google’s prestigious Impact Challenge Award, the MEFFYS Award for Innovation in Technology, the Messaging and SMS World Awards’ Best SMS Solution, Business Rocks’ Global Startup Pitch Battle, Chivas Regal’s The Venture Competition’s UK prize, and 2nd place in their Global final and the European Union Commission’s Ideas from Europe Prize.

  • Technology
  • Seed
  • Africa
  • AWS
  • Code Quality
  • Code Reviews
  • Machine Learning
  • Team Lunches
  • Daily Stand Up
View 2 jobs
Engineers who find a new job through Functional Works average a 15% increase in salary.

Salary

Competitive

Contract type

Full time

Technologies & frameworks

  • machine learning
  • clojure
  • NLP
  • Python

Benefits & perks

  • Flexible working
  • Team lunches
  • Daily stand up
  • Stock options
  • Casual dress
  • Stocked kitchen
  • Training
  • 25 days holiday
  • Bike friendly
  • Laptop
Machine Learning Engineer