Full-Time

Senior ML Software Engineer

Geminiapp Strategic User Segments

DeepMind

DeepMind

1-10 employees

AI research organization pursuing safe AGI

Compensation Overview

$166k - $244k/yr

+ Bonus + Equity

Mountain View, CA, USA

In Person

Category
Software Engineering (2)
,
Required Skills
LLM
Python
JavaScript
Data Structures & Algorithms
Java
TypeScript
Go
C/C++
AngularJS
HTML/CSS
Requirements
  • Bachelors or Masters degree in computer science or related technical field
  • 10+ years of experience with software development in one or more programming languages, and with data structures/algorithms
  • 5+ years experience with full stack development across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, Angular, HTML, CSS, etc.
  • Hands-on experience with prompt engineering and post-training techniques for large language models, including data pipeline and evaluation methodologies
  • Excellent problem-solving and analytical skills
  • Strong communication and teamwork abilities
Responsibilities
  • Demonstrate technical leadership in building innovative features for the target users
  • Lead the full-stack implementation, from front-end, back-end, to the model, to deliver high quality products
  • Collaborate with researchers to understand cutting-edge innovation in generative AI, and apply it to the app
  • Conduct in-depth data analysis to identify headroom for the feature, and develop a strategy to design and implement solutions to improve the quality
  • Collaborate with partner teams to enable Gemini features in all languages
Desired Qualifications
  • Proven experience in mobile software development
  • Interest in LLMs and adapting AI technologies for different user groups.
  • Ability to thrive and prioritize effectively in a fast-paced, dynamic environment with multiple stakeholders
  • Prior experience working with product teams

DeepMind conducts research in artificial intelligence to advance general problem-solving capabilities with safety and ethics guiding every project. It develops AI systems and learning algorithms that can tackle complex tasks, such as diagnosing eye diseases, reducing data center energy use, and predicting 3D protein shapes. These products work by learning from large datasets and optimizing models to perform specialized tasks, often through deep neural networks and reinforcement learning, then deploying the resulting systems to assist scientists, doctors, and engineers. What sets DeepMind apart is its emphasis on rigorous fundamental research published in top journals, a strong safety/ethical framework, and collaboration on real-world scientific challenges, rather than just commercial applications. The company’s long-term goal is to solve intelligence and build more general, capable problem-solving systems that can help society address major scientific and humanitarian problems.

Company Size

1-10

Company Stage

Acquired

Total Funding

$533M

Headquarters

Thessaloníki, Greece

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • GraphCast excels in extreme weather prediction, partnering with disaster agencies.
  • AlphaFold collaborates with DNDi on Chagas and Leishmaniasis therapeutics.
  • Open GraphCast deployment since September 2024 enables enterprise licensing.

What critics are saying

  • Top AI talent exits DeepMind due to Google merger bureaucracy.
  • Isomorphic Labs secures Eli Lilly and Novartis drug discovery deals.
  • NVIDIA's PhysicsNeMo reimplements GraphCast, commoditizing the technology.

What makes DeepMind unique

  • AlphaFold predicts protein structures, catalyzing biology progress since 2021.
  • GraphCast delivers 90% accurate 10-day weather forecasts in under one minute.
  • AlphaGo defeated Go champion Lee Sedol in 2016 using reinforcement learning.

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