Seonglae ChoKoodoo
Koodoo operates a leading digital mortgage platform and brokerage, bridging the gap between potential homeowners and their next mortgage solution. We streamline the mortgage process for first-time buyers to experienced remortgagers, facilitating seamless online applications. Our collaboration with major UK lenders enhances mortgage product visibility and customer acquisition while powering renowned comparison brands, making us integral in delivering premier mortgage experiences.
Our innovation in AI-driven mortgage solutions sets us apart, highlighted by our milestone of being the first to pass the CeMAP exam using AI. We continue to revolutionise the sector by integrating AI tools in partnership with major lenders and brokers.
🚀 Our mission
We envision a transparent, effortless, and confident mortgage securing experience for everyone. By employing cutting-edge technology and comprehensive insights, we empower consumers on popular comparison platforms and equip lenders with superior technology, driving unparalleled service quality in home financing.
💎 Our Core Values
Knowing who we are and understanding our mission, our core values at Koodoo define our approach to excellence:
- We are empowered: If it’s to be, it’s up to me.
- We deliver: We are committed to what we do, determined to succeed, and we obsessively prioritise to achieve our goals.
- We empathise: We listen, we support, we care - for each other, our partners, and customers.
- We are focused: We are committed to what we do, determined to succeed, and we obsessively prioritise to achieve our goals.
- We are passionate: We are proud of our work, our product, and our team, and relentless in solving the problems in our industry.
👔 The role
We’re inviting an AI Engineer to lead the quality workstream across all of our AI-based products, which are currently being piloted across major UK lenders and brokers. This new position will offer a self-starter with a mix of technical and business experience to build out a new set of procedures and frameworks for evaluating and maintaining quality in AI-based applications.
🎯 Key Responsibilities:
- Evaluating and benchmarking LLMs used in our applications:
- Facilitating the building out of human in the loop feedback that scales with volume and complexity.
- Owning and building out canonical data sets.
- Testing the best performing AI architectures.
- Monitoring, alerting and debugging our AI architectures, including but not limited to:
- Using human in the loop feedback to identify problematic areas.
- Developing and monitoring automatic regression testing.
- Setting up alerting to changes in LLM efficacy due to prompt drift.
- Own our prompt management systems and data:
- Support implementation teams with best practices and iteration for prompt engineering for business use cases.
- Explore and implement state-of-the-art algorithms to keep our product on the cutting edge of Generative AI technology.
- Stay up-to-date with the latest advancements in Generative AI, conduct research, and explore innovative techniques to improve model quality and efficiency.
- Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions.
💃 Skills and Experience:
Required
- Research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations.
- Demonstrated expertise in training and optimising generative models.
- Proven track record of implementing systems and frameworks to monitor quality outputs from non-deterministic systems using data-driven approaches.
- Keen interest and experience in more recent Generative AI developments and best practices.
- Ability to straddle business and technical contexts seamlessly, working collaboratively with stakeholders on both sides.
- Hands-on approach and attitude to getting things done in a fast paced and dynamic environment.
- Ability to make translate academic papers, models, algorithms, and research findings into resources that are easily consumed and shared with the wider team.
- Proficient in Python, demonstrating the ability to architect, implement, and optimise code.
Preferred
- Experience in UK Financial Services technology.
- Advanced degree in machine learning, computer vision, or related field.
- Experience with image-to-text generative models and features.
- Experience developing and optimizing ML inference on the backend.
- Experience working with machine learning frameworks such as PyTorch, TensorFlow.
- Experience implementing RAG frameworks as part of production-ready products.
Notion
About The Role
We are looking for an ML Engineer to join our small but nimble AI team whose mission is to make Notion an ML-powered product. As an ML Engineer, you will work on incorporating large language models (LLMs), embeddings, and other AI technologies into Notion’s product in a high quality way. You’ll be exploring the boundaries of what’s possible with ML technology and finding innovative ways to apply new industry learnings to Notion’s offering.
What You'll Achieve:
- Work with the team to prototype and experiment with AI model quality improvements, either by fine tuning, prompt engineering, or building new models when needed
- Productionize and launch new AI technology integrations into Notion’s core product
- Collaborate with cross-functional teams to deliver product features on time
- Stay up-to-date with the latest AI technologies and trends
Skills You'll Need to Bring:
- Domain Expert, Teacher and Learner: You have experience building AI products using LLMs, embeddings or other ML natural language technologies. 3+ years of experience in one or more of the following areas: machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence. You’re excited about bringing your pre-existing knowledge to the team, but you balance that with perpetual curiosity and understanding that there is always more to learn.
- Holistic Problem Solver: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.
- Communicate with Care: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.
- Impact Driven: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.
Nice to Haves:
- You understand how parts of a system fit together, from the user interface to the data model. You are familiar with relational database systems like Postgres or MySQL, and have experience building products from ground up.
- You’re proficient with data pipeline technologies: Spark, DBT, etc
- You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.
- You have experience driving teams toward shared goals and can balance business priorities with individuals’ strengths, areas of interest, and career development goals.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
- You have interests outside of technology, such as in art, history, or literature.
We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $170,000 - $300,000 per year.
Niantic
2024 Software Engineering Intern
at Niantic
London, UK
Niantic’s Augmented Reality (AR) Mapping Team is seeking interns to work on advancing our real-world AR games and our developer platform. Join us for a 3 month internship and grow your skills quickly while being mentored by an experienced team of engineers and researchers.
Our technical challenges include data consistency across distributed systems, creating compelling gameplay for a global user base working with geo data at scale, and innovating in augmented reality. Niantic Engineering leads the advancement of augmented reality and other immersive technologies while creating engaging apps for a user base in the billions. Come empower players on a game board consisting of the entire world!
The projects you will work on fit under the broad umbrella of augmented reality, including machine learning, mapping & relocalization, tracking, and 3D reconstruction. We invite you to explore the best AR problems with us!
Responsibilities
- Work alongside our engineers and researchers to build and solve problems collaboratively.
- Participate in the design, development and implementation of software solutions.
- Develop well-tuned code that may be included as part of our next software release.
- Work closely with new and emerging technologies in the real-world AR gaming space.
- Required in-office 2 days on Tuesday and Thursday.
Qualifications
- Graduating in 2024, 2025, or 2026 with a Bachelor’s or Master’s degree in Computer Science or related field.
- Previous internship experience as a software engineer in Python or C++
- You are highly curious and don’t shy away from picking up new technologies and learning about new technologies.
- Proven understanding of computer science fundamentals with excellent coding, problem solving, and debugging skills.
Plus If…
- You have used cloud computing platforms such as GCP or AWS before.
- You have made data structures or other design choices to optimize pipeline speed.
- You know computer vision or machine learning and wrangled with 2D and/or 3D data.
- You have experience in graphics APIs such as OpenGL, Metal, and Vulkan.
- You have experience with game engines like Unity or Unreal.
- You have experience in developing mobile AR experiences.
The pay range for this internship is GBP 5,500 to GBP 7,000 per month.
Join the Niantic team!
Niantic's global-scale augmented reality platform and digital map powers spatial computing experiences in the real world. Incubated out of the Maps team at Google, Niantic first created Ingress and then Pokémon GO, a cultural phenomenon and hit game played by tens of millions of people each month. Niantic’s Lightship platform, which powers Pokémon GO, also supports the company's other games including Pikmin Bloom, Peridot and Monster Hunter Now. Developers use Niantic’s platform to build their own AR applications and experiences, either with the Lightship Platform or directly through the web with 8th Wall.
We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.
Niantic is a hybrid first company. We believe that in person interaction and collaboration fosters creativity, a sense of community, and is critical to our future success as a company. Our hybrid work schedules allow for a mix of remote and in-office work.
We're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Palo Alto, Bellevue, Kansas, London, Tokyo, Hamburg, Hyderabad, and Zurich. #LI-HYBRID