ML/NLP Engineer | Palo Alto, CA
Palo Alto
Trust Lab
TrustLab creates online safety and compliance solutions and collaborates with social media firms, governments, and stakeholders to deploy them.If you’re interested in working with the world’s largest social media companies and online platforms, and building technologies to mitigate these issues, you’ve come to the right place. We are a small, global and are prioritizing candidates in the Palo Alto, CA.
As an engineer on our team, you’ll work directly with ex-senior leaders from Google, YouTube, TikTok, and Reddit, build and commercialize cutting-edge technologies, and have the opportunity to develop your skills across a varied tech stack including generative AI technologies. We are a tech-first company, and our engineers are the lifeblood of everything we do. You can expect rapid growth and mentorship opportunities, meaningful work, and a fun work environment.
Opportunities + Perks
- Use and experiment with latest generative AI technologies
- Work directly with ex-Google execs to develop and execute on cutting-edge tech
- Competitive total comp package (salary + equity) at a rapidly growing VC-backed startup
- Influence new product direction from idea to commercialization
- Help develop critical tech to solve one of the 21st century’s trickiest societal problems
- Generous technology + education stipends and healthcare coverage
- Co-locate with our team in Palo Alto or setup a hybrid working arrangement
Responsibilities
- Extract features from content (text, images, videos)
- Build classification models to identify unsafe online content
- Leverage off-the-shelf, pre-trained models (including large language models) and other heuristics where appropriate
- Work with team to productionize models in a high throughput, low latency setting
- Design industry-leading solutions informed by a thorough understanding of the domain
- Take ownership of modeling e2e to meet business requirements
Qualifications
- A technical Bachelor's degree or equivalent practical experience developing software
- At least 5+ years of professional software development experience (in the industry) where you were coding at least 50% of the time
- Past experience relevant to the above responsibilities
- Ability to write high-quality, well-tested code and high comfort level with Python
- Experience building and tuning multi-modal ML systems
Preferred Qualifications
- Experience or interest in working in the Trust and Safety industry
- Familiarity with AWS primitives, Kubernetes, AWS Lambda
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Classification Engineering Generative AI Kubernetes Lambda LLMs Machine Learning NLP Python
Perks/benefits: Career development Competitive pay Equity Startup environment
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