Senior Ml Engineer

6 months ago

Auckland City, New Zealand Narrative Full time

**Location**: Based in our office on Karangahape Road in Auckland, New Zealand, with the option to work remotely for two days a week. We find it’s important to have time for face-to-face communication, while also allowing some days to work from home, if one wants.

**Salary**: Competitive salary commensurate with skills and experience, plus participation in a generous employee share option scheme.

**About Narrative**:
Narrative is one of NZ’s fastest growing software-as-a-service (SaaS) companies. We build products that cater to a market of millions of professional photographers worldwide. Our AI-powered tools help professional photographers from more than 160 countries improve their photo selection and photo editing workflows, significantly increasing their productivity. With the backing of top-tier Venture Capitalists - including Founders Fund - and a team of exceptionally talented staff, we are committed to driving innovation in this space.

We have many thousands of photographers using our products, and our AI processes more than 2 billion images from photographers annually.

We have a strong, nurturing company culture at Narrative. You'll join a smart, friendly, and supportive team with psychological safety. Here, we can be our authentic selves, freely discuss ideas, make the best decisions, and do our best work.

**Some of the things you will work on**:

- Model Creation & Analytics
- Designing, training, modifying, validating, optimising and deploying novel ML models in the Computer Vision space
- Craft the best training, validation, and test datasets for our models
- Conducting statistical analysis to identify user data patterns and behaviours to improve our models’ accuracy
- Working with a Data Labelling team to refine our training data
- Data Pipelines and Data Warehousing
- Creating and maintaining ML data pipelines
- Batch processing of data in our data warehouse
- Diverse Engineering Challenges
- Solving really intricate technical challenges
- Working with large datasets of labelled and unlabelled data
- Communicating with marketing, product, engineering, and AI to determine the best approach to solving multi-disciplinary problems

**Requirements**:
**We’re looking for someone who has**:

- Attitude
- Self-directed skilled problem solver who can independently and proactively work towards solving the most gnarly technically challenging problems
- Ability to communicate across teams, integrating feedback and expertise from diverse technical and non-technical sources
- Enthusiasm to work on Data Engineering tasks, as necessary, recognising their essential role in the team's overall success
- Desire to take feedback and always improve themselves
- Excitement about impacting and changing the lives of photographers and shaping the future of photography
- Curiosity to learn and understand things deeply and completely
- Ability to be scrappy and build imperfect solutions quickly and then improve them over time
- Skills & experience
- 5+ years of industry experience
- Excellent coding skills in Python
- Fantastic communication skills
- Expertise in building custom Computer Vision ML models in PyTorch or TensorFlow
- Understanding of how to tune and optimise ML models by improving model structure and training data
- Experience with querying data from SQL, NoSQL, or Graph databases
- Ability to read, interpret and implement findings from academic research papers
- Proven ability to conduct novel research, particularly in the fields of image processing, mathematical modelling, algorithms, and deep learning
- Education
- Master’s degree or PhD in Data Science, Computer Science, Software Engineering, Mathematics, or a similar field; or experience equivalent to this
- Deep knowledge of Data Science and Statistics tools and principles

**Handy to have, but not required**:

- A keen interest in photography
- Knowledge of Snowflake, Databricks, or similar
- Knowledge of Rust or C/C++
- AWS certification

**Benefits**
- 1 month of paid parental leave in addition to government leave, 30 hours a week for 6 months on full pay following return from parental leave (for all parents)
- Extended sick leave to support our team through the many challenges life can throw our way
- Employee Stock Ownership Plan (ESOP)

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