Creators of InfluxDB, the leading time series database for real-time analytics.
Database • IoT • Monitoring • InfluxDB • Telegraf
201 - 500
May 8
🇺🇸 United States – Remote
💵 $120k - $140k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Creators of InfluxDB, the leading time series database for real-time analytics.
Database • IoT • Monitoring • InfluxDB • Telegraf
201 - 500
• Create a pilot using AI for how we can potentially automate frequently submitted Support Cases • Problem-solve complex customer cases by debugging and troubleshooting. Work with Customer and other functional teams to get to root cause • Advocate for customers by understanding systemic requests and prioritizing within the engineering and product management teams. • Ensure customers are fully adopting and expanding utilization of the InfluxData Platform by correctly onboarding early customers. • Enhance support capabilities by documenting customer environments, plans, and modifications. • Guide customers during the adoption of new features or transitions to updated versions. • Identify potential customer requirements to increase their value and adoption of the InfluxData platform. • Collaborate across internal teams during account escalations, assess customer technical risks, collaborate on mitigation plans, and coordinate technical escalations with R&D and support teams. • Host recurring customer sync sessions, reviewing the customers' tactical and strategic objectives. • Assist with internal projects that may provide value to TAM customers.
• Technical depth on adopting InfluxDB and how to leverage it from a best practice perspective • ML/AI capabilities to allow for testing early automation of Support Tickets that are Tier • 2-5 years of industry experience as a Data Scientist/AI | Machine Learning engineer preferred • Excellent written and verbal communication skills in English. • Superior verbal and written communication and presentation skills with the ability to convey rigorous mathematical concepts to non-experts. • A minimum of 3 years of experience in customer-facing technical work, such as support, development, engineering, etc. • Experience with tools, frameworks, and platforms such as AWS SageMaker, Bedrock, RAG, Apache Airflow, TensorFlow, or PyTorch is a plus. • Experience working with large-scale datasets and distributed computing frameworks for processing and analyzing big data in AI applications • Proficient in at least one scripting language (Java, Python, C++, Bash, etc.). • Proficient knowledge of AI concepts such as natural language processing (NLP), computer vision, and reinforcement learning is essential. • Knowledge of visualizations using tools like Tableau, Power BI, or D3.js is a plus. • Experience working with RESTful APIs. • Knowledge of container orchestration tools like Kubernetes or Docker Compose • Understanding of data modeling techniques specifically designed for time series data, such as hierarchical storage and compaction. • Familiarity with TSDB systems and the ability to design, implement, and optimize database schema
• Medical/dental/vision insurance with 100% coverage for employees and dependents • Company contribution to your FSA • Flexible Time Off - take the time you need • Life Insurance, short and long term disability insurance • 401k • Wellness programs • Annual professional development budget • Financial planning and legal advice
Apply NowMay 4
🇺🇸 United States – Remote
💰 $40M Debt Financing on 2022-02
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
May 3
51 - 200
🇺🇸 United States – Remote
💰 $26M Venture Round on 2022-10
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
May 3
1001 - 5000
🇺🇸 United States – Remote
💰 $200M Secondary Market on 2021-10
⏰ Full Time
🟢 Junior
🟡 Mid-level
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
April 30
11 - 50
🇺🇸 United States – Remote
💰 $4.3M Seed Round on 2022-06
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer