Member Of Technical Staff

USD 324,000-396,000 per year

MIDDLE

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 AWS @ 3 Azure @ 3 Cloud Computing @ 3 Communication @ 6 Computer Vision @ 3 Data Science Deep Learning @ 3 GCP @ 3 GPU Hadoop @ 3 Kubernetes @ 3 LLM Machine Learning @ 3 NLP Prioritization @ 6 Python @ 3 Rust @ 3 Software Development @ 3 Spark @ 3

Details

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.

We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

Responsibilities

Introduce innovative techniques and analyses to the AI field to facilitate breakthroughs in quantitative reasoning and language understanding.
Stabilize large language model training, pipeline parallelism training of large language models, and fine-tuning large language models with truthful data.
Ensure organization’s work is aligned with broader company objectives.
Spend time working on hands-on technical problems including design and implementation.
Perform cutting-edge research on advanced techniques from AI and deep learning, including:
- Neural network architectures
- Language modeling
- Speech recognition
Work closely with leaders across the company to deliver impactful projects, which may involve work in areas such as:
- Machine learning
- Applied data science
- Recommendation systems
- Information retrieval systems
Telecommuting permitted.

Requirements

Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Mechanical Engineering, Machine Learning, or a related field.
2 years of experience in the job offered or in a computer-related occupation.

Special Requirements: required skills/experience

BigData systems such as Spark, Hadoop, BigQuery, and related technology to build highly scalable data processing systems
Building large-scale Kubernetes clusters for data storage, processing, and analysis on on-prem systems and cloud computing
Applied machine learning techniques and deploying large-scale deep learning systems
Working with distributed system engineers and AI researchers in developing technologies in the area of natural language processing, computer vision, and speech recognition applications
Rust, C++, or Python programming language to build tooling and features within company software development code and standards
Building applications with hardware accelerators, such as GPUs, TPUs from GCP, Azure, and AWS

Employment and background checks may be required.