Full-Time
Lead AI/ML Engineer
Confirmed live in the last 24 hours
dataplor
51-200 employees
Provides accurate global Points of Interest data
Senior
San Francisco, CA, USA + 6 more
More locations: Honolulu, HI, USA | Los Angeles, CA, USA | Miami, FL, USA | Remote in USA | New York, NY, USA | Denver, CO, USA
Remote position with options to work from offices in Honolulu, San Francisco, New York, Los Angeles, Denver, or Miami.
You match the following dataplor's candidate preferences
Employers are more likely to interview you if you match these preferences:
- Proven experience (5+ years) in AI/ML engineering building and deploying models, preferably in the location data or geospatial industry.
- Demonstrated experience successfully deploying models into production and managing these models for ongoing improvements.
- Experience working with large datasets, multiple sources, and developing data processing pipelines.
- Proficiency in programming languages such as Ruby or Python.
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP techniques.
- Experience with geospatial data processing tools and libraries (e.g., PostGIS GeoPandas, Shapely).
- Familiarity with cloud platforms (e.g., AWS, GCP) and containerization (e.g., Docker, Kubernetes).
- Excellent problem-solving and analytical skills.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Ability to work both independently and collaboratively in a fast-paced, dynamic environment.
- Passion for leveraging AI/ML to solve complex data challenges.
- Develop and implement AI/ML models to process and analyze large-scale location data.
- Work on cleaning, deduplicating, and normalizing data from multiple sources.
- Enhance our global polygon data to ensure accuracy and consistency.
- Build and maintain ML pipelines for deduplication and data standardization.
- Utilize NLP techniques to handle multilingual data and improve data extraction and classification.
- Develop and fine-tune Large Language Models (LLMs) to improve data quality and processing efficiency.
- Collaborate with data scientists, engineers, and product managers to identify and solve data-related challenges.
- Stay up-to-date with the latest advancements in AI/ML and NLP technologies and integrate them into our workflows.
- Contribute to the continuous improvement of our data processing frameworks and methodologies.
- Play a key role in the development and launch of new products.
- Participate in strategic planning sessions and contribute to high-level decision-making processes.
- Work closely with leadership to align AI/ML initiatives with company goals and objectives.
Dataplor provides accurate Points of Interest (POI) and territory data for businesses, investors, and market analysts globally. Their services help clients access precise data to make informed decisions about market trends and competitive landscapes. Dataplor's product works by enriching existing systems with real-time POI data, allowing clients to track where their products are sold and understand consumer demand. What sets Dataplor apart from competitors is its focus on advanced qualitative Key Performance Indicators (KPIs) and a rigorous Quality Control (QC) process that ensures data reliability for business forecasting. The company's goal is to support effective investment decisions and sustainable growth strategies by delivering exceptional global data tailored to the needs of its clients.
Company Stage
Series A
Total Funding
$16.6M
Headquarters
Manhattan Beach, California
Founded
2016
6 month growth
↓ -1%1 year growth
↓ -1%2 year growth
↑ 3%
Simplify's Take
What believers are saying
- Partnership with Cytora enhances real-time location data for insurance risk assessment.
- Series A funding of $10.6M supports expansion of global location intelligence.
- Growing demand for global location intelligence aids competitive analysis and market opportunities.
What critics are saying
- Competition from established geospatial data providers like HERE Technologies and Esri.
- Rapid advancement of AI-driven data analytics tools by competitors like SafeGraph.
- Potential data privacy concerns and regulations, especially in the European Union.
What makes dataplor unique
- Dataplor offers advanced qualitative KPIs beyond traditional data metrics.
- The company provides real-time global POI data for competitive landscape mapping.
- Dataplor's industry-leading QC process ensures reliable data for accurate business forecasting.
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Benefits
Health Insurance
Flexible Work Hours
Remote Work Options
Professional Development Budget