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Commission Machine Learning Startup Jobs in Pennsylvania

Lead AI Engineer

Pittsburgh, PA ยท On-site

$95K - $126K/yr

Practical experience in building, developing, and productionizing machine learning systems ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

Lead AI Engineer

Pittsburgh, PA ยท On-site

$99K - $131K/yr

Practical experience in building, developing, and productionizing machine learning systems ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

Lead AI Engineer

Pittsburgh, PA

$99K - $131K/yr

Practical experience in building, developing, and productionizing machine learning systems ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

Lead AI Engineer

Pittsburgh, PA ยท On-site

$99K - $131K/yr

Practical experience in building, developing, and productionizing machine learning systems ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

Lead AI Engineer

Pittsburgh, PA

$95K - $126K/yr

Practical experience in building, developing, and productionizing machine learning systems ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

$90K - $110K/yr

... machine startup, testing, commissioning, and system validation. * Troubleshoot electrical and ... Commission: Yes

Follow procedures for proper startup & shutdown of equipment * No experience required Production ... Having spent years learning the ropes about the staffing and recruiting industry from the inside ...

CNC Machinist

Warminster, PA ยท On-site

$30/hr

... of a startup. Ingersoll Rand has dedicated itself to Making Life Better for its employees ... Program machines with minimal complexity, and learning to program at higher complexity with ...

CNC Machinist

Warminster, PA ยท On-site

$30/hr

... of a startup. Ingersoll Rand has dedicated itself to Making Life Better for its employees ... Program machines with minimal complexity, and learning to program at higher complexity with ...

Showing results 21-40

Commission Machine Learning Startup information

What is the difference between Commission Machine Learning Startup vs Data Scientist?

AspectCommission Machine Learning StartupData Scientist
CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML modelsDegree in Computer Science, Statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentStartup setting, fast-paced, innovative projects, often remote or flexibleCorporate or research environment, collaborative teams, often office-based
Industry UsageTech startups, AI-focused companies, innovative product developmentTech firms, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding roles in ML startups, freelance or commission-based opportunitiesCareer development, skill requirements, industry roles

Commission Machine Learning Startup roles focus on developing ML solutions within startup environments, often with flexible or freelance arrangements. Data Scientists typically work in established companies, applying statistical and programming skills to analyze data. Both roles require similar credentials but differ in work setting and industry focus.

What are the most commonly searched types of Machine Learning Startup jobs in Pennsylvania?

The most popular types of Machine Learning Startup jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Commission Machine Learning Startup jobs?

Cities in Pennsylvania with the most Commission Machine Learning Startup job openings:

Data Engineer - Junior Conshohocken Hybrid

Conshohocken, PA โ€ข Hybrid

$50K - $85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Job description

Company Overview

We are a technology-driven financial institution that specializes in partnering with FinTech firms and innovative brands to launch modern financial products. By merging the agility of a startup with the stability of a regulated banking environment, we empower our partners to scale safely across lending, card services, and embedded finance.


The Role

We are seeking a solution-oriented Data Engineer with deep expertise in Azure Synapse, SQL Server, and Power BI. In this role, you will design and deliver end-to-end data solutions that leverage AI and automation to drive business intelligence and operational reporting.

You will act as a bridge between technical execution and business strategy, working directly with internal units to translate complex requirements into scalable data models and actionable insights.


Key Responsibilities

  • Data Architecture: Design, develop, and maintain Azure SQL databases, stored procedures, and Azure Synapse ETL pipelines.
  • Business Intelligence: Build and manage high-impact Power BI dashboards and reports; oversee Power BI Online Workspaces and data refresh schedules.
  • Stakeholder Collaboration: Gather and define project scopes by communicating effectively with cross-functional partners and non-technical audiences.
  • Quality & Governance: Ensure data integrity and performance across all platforms; document data models and reporting logic for compliance and internal use.
  • Technical Advisory: Provide guidance on data visualization best practices and support ad-hoc analysis requests from various business units.


Required Qualifications

  • Experience: 1-3 years in full-stack data development focusing on the Azure stack (Synapse, SQL Server, Power BI).
  • Technical Skills: Strong proficiency in T-SQL, data modeling, performance tuning, DAX, and Power Query.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders.
  • Execution: Proven ability to manage multiple projects simultaneously in a fast-paced environment.


Preferred Qualifications

  • Background in financial services (banking or fintech).
  • Experience working within Agile/Scrum frameworks and knowledge of DevOps practices.
  • Familiarity with Snowflake, Databricks, or Machine Learning (ML) automation tools.


Compensation & Benefits

  • Salary Range: $50,000 – $85,000 (commensurate with experience and location).
  • Bonus: Eligibility for annual performance bonus programs.
  • Benefits: Comprehensive package including Health, Dental, Vision, 401K, and Paid Time Off.