Machine Learning Engineer
hace 3 semanas
**Who We Are**:
- AI Fund is an early stage venture firm founded by Dr. Andrew Ng in 2017, one of the most recognizable names in AI. The AI Fund team combines their experiences as AI pioneers, entrepreneurs, investors and operators to support our portfolio of companies utilizing AI to move humanity forward. We are backed by a $176 million-dollar fund from top-tier VC firms including Sequoia, Greylock and NEA.
**What You Will be Doing**:
- We are currently looking for an exceptionally talented Machine Learning Engineer to join our technical team. You will be responsible for end-to-end ownership of scalable Machine Learning systems — from data pipelines, to training, to analyzing performance in a production environment. You’ll be joining a team that leads from PoCs to initial production pipelines in early-stage startups. You’ll need to be able to wear multiple hats and thrive while working in a dynamic environment.
**Main Responsibilities**:
- ** Collect, process and analyze data. **A big part of our machine learning projects is understanding and analyzing the data. You must build pipelines and processes for cleaning and organizing data as well as build tools to help analyze data. You must also understand what types of data models are struggling with and use this analysis to propose solutions.
**What You Must Bring**:
- 3+ years professional experience designing, training and deploying machine learning models
- Strong computer science foundation including data structures, algorithms and design patterns
- Expertise in Python demonstrated by implementing multiple medium to large scale projects
- Proven ability to implement and debug machine learning models
- Excellent communication skills and the ability to have in-depth technical discussions with both the engineering team and business people
- Excellent English language skills
- Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- Experience in setting up data pipelines
- Experience developing RESTful APIs
- Industry experience with relational databases, SQL and noSQL tools.
- BSc in Computer Science, Mathematics or similar field
- Self-starter and comfort working in an early-stage environment
**Nice to Haves**:
- Experience with big data pipeline technologies such as MapReduce, Spark, Kafka
- Research experience in machine learning or artificial intelligence related field
- Contributions to open source ML projects
- Experience with Amazon AWS and containerization technologies.
- Experience with Agile development
- Master’s or PhD degree is a plus
**Characteristics**:
- ** Accountability**: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
- ** Leadership**: able to influence others to follow you and lead the team to a brighter future.
- ** Grit.** able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.
- ** Scrappy**: Takes initiative and proactively gets things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.
- ** Ownership orientation**: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.
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