Sr Machine Learning Engineer
Sr Machine Learning Engineer
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1 Vacancy
Job Description
Who Were Looking For
- You are an experienced Machine Learning Engineer who is passionate about creating and delivering cuttingedge enterpriseclass AIpowered solutions.
- You have designed and released into production multiple MLbased solutions that solve real business problems using technologies such as deep learning machine learning or generative AI.
- You can work autonomously without a lot of supervision think independently and dream up practical outofthebox ideas.
- This is a key position in Engineering. You and your team will provide AI thought leadership not just within Engineering but more broadly across the company.
Responsibilities
- Design build and productionalize robust highperforming ML LLM and other AI solutions per the roadmap and integrate them into our existing product suites.
- Build the supporting services to operationalize and automate your solution including unit and integration tests CI/CD tooling monitoring capabilities and data pipelines.
- Collaborate closely with other Engineering teams Product Mgmt and our CTO to shape our AI roadmap and build exciting new solutions for our customers.
- Stay current with the latest developments in AI and evangelize them within the company.
- You will be part of a small team being set up from scratch focused on building industryleading AI capabilities for our suite of products.
Qualifications :
- 5 years of software product development experience. At least 3 years of deep intensive ML experience in a product setting rather than in a researchoriented environment.
- A strong technical foundation with a Computer Science background ideally with a Masters degree specializing in AI.
- You are fluent in Python and the Data Science stack
- You have experience with ML technologies and frameworks and extensive experience with at least a couple of the following: Pytorch Tensorflow/Keras scikit largescale data processing technologies (SQL data warehouses Spark or HDFS).
- You have Generative AI experience working with LLMs RAG pipelines and agents eg. GPT4 LLama3 Mixtral LangChain Anthropic or OpenAI API or similar technologies.
- You are comfortable designing and implementing the endtoend ML workflow to deploy your ML models to production and monitoring them postproduction. This might include writing data pipelines and other Data Engineering or ML Ops tasks.
- Are extremely customerfocused. You have built products that have moved the needle for your customers.
- Working in a distributed remotefirst environment with asynchronous communication comes naturally to you.
- Familiarity with Javascript and node.js would be an advantage but not essential.
- Experience with designing and building scalable distributed systems; familiarity with AWS (or Azure / GCP) would be an advantage
What We Care About
- Curiosity and humility. We are dedicated to learning and constantly improving. We hope you also value unknown unknowns and have a natural drive to figure out how everything works.
- Agility and ownership. Our teams have a high degree of freedom on how they build their systems but they also take full ownership of what they deliver in the long run.
- Proactivity. An internal drive to leave things in a better state than they are. Going above and beyond to help our codebase to stay healthy.
- Monitoring and automation. We strongly believe that a fully automated system is key to rapid iterations while an extensive set of metrics highlights what needs to be done.
- Balancing research and product. We value staying uptodate on cutting edge research while also shipping meaningful products enabling researchers to fulfill their mission.
Additional Information :
Headquartered in Mountain View California with over 220 team members across the United States and Europe DNAnexus is experiencing rapid growth and market adoption. With the support of leading investors including Google Ventures and Blackstone and trusted by hundreds of the worlds biomedical leaders the company is at the innovative forefront with our precision health data cloud to drive scientific breakthroughs. If you are interested in joining our team please apply today!
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
