Remote Scala Jobs in Web3
177 jobs found
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Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Trustana | New York, NY, United States | $81k - $150k | |||
Gemini | Remote | $120k - $168k | |||
Gemini | Remote | $120k - $168k | |||
SwissBorg | Remote | $91k - $190k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Gemini | Remote | $76k - $90k | |||
The Block | Remote | $80k - $95k | |||
Gemini | Remote | $63k - $80k | |||
FalconX | Remote | $106k - $165k | |||
Kraken Digital Asset Exchange | Remote | $135k - $203k | |||
Metaco | Remote | $90k - $100k | |||
Coinmarketcap | Taipei, Taiwan | $106k - $165k | |||
Coinmarketcap | Taipei, Taiwan | $72k - $150k | |||
Kraken Digital Asset Exchange | Remote | $36k - $70k | |||
Kraken Digital Asset Exchange | Remote | $63k - $120k | |||
Trilitech | Remote | $105k - $180k |
Trustana
$81k - $150k estimated
This job is closed
Lead AI Engineer - SaaS B2B
Location: Europe
About the Role:
- Lead AI initiatives and build leading-edge AI applications for commerce.
- Utilize Python, Scala, or C# for data-driven model development.
- Apply machine learning, deep learning, anomaly detection, and more to drive innovation.
- Perform data ETL and analysis for application build, ensuring robust and scalable AI solutions.
- Collaborate with teams to define and deliver impactful AI solutions.
- Integrate benchmark systems for enhancing AI application quality.
Key Responsibilities:
- Lead and manage complex engineering projects in a SaaS environment.
- Foster a culture of innovation, mentoring, and skill development within the team.
- Make strategic decisions aligning technology with business goals.
- Lead research and development of foundation models to various real-world customer problems.
Qualifications:
- 7+ years in engineering with large systems.
- Expertise in machine learning and related techniques.
- Expertise in programming and data science tools.
- Passion for learning and applying state-of-the-art AI models, especially LLM.
- Demonstrated ability in data science and analysis.
- Excellent communication and collaborative skills.
- A degree in a quantitative field.
What We Offer:
- An opportunity to work in a diverse, multicultural tech environment.
- A platform to lead and shape the future of SaaS B2B applications.
- Competitive compensation and a commitment to your professional growth.