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Ml2 Jobs (NOW HIRING)

TEKsystems

Technical Writer

Ann Arbor, MI · Remote

$35 - $45/hr

Qualifications • Bachelor's degree in communications, journalism, business, healthcare administration, or a related field, or equivalent professional experience. • Approximately 4+ years (ML2.1) ...

BOTG LLC

Cloud Network Fabric Engineer

Austin, TX · On-site

Exposure and understanding of OpenStack Neutron, OVN and ML2. Experience using Prometheus, Grafana and OpenTelemetry and applying SRE practices including SLOs, error budgets Configuration and ...

Tenet Health

Certified Surgical Tech

Turlock, CA · On-site

$26.56 - $35.70/hr

Current BLS certification #LI-ML2 About Us Emanuel Medical Center Hospital is committed to providing exceptional patient care in a supportive and collaborative environment. As a member of our team ...

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How much do ml2 jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ml2 in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is an ml2?

ML2 typically refers to 'Machine Learning Level 2' positions, which are mid-level roles for professionals working in the field of machine learning. ML2s are responsible for designing, developing, and deploying machine learning models, often working on more complex projects than entry-level roles. They usually have several years of experience, possess strong programming and analytical skills, and may mentor junior team members. ML2s collaborate with data scientists, engineers, and product teams to solve real-world problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as an ml2?

To thrive as a Machine Learning Engineer (ML2), you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree and experience with large-scale data. Proficiency in programming languages like Python or R, familiarity with ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms (AWS, GCP) are crucial, and certifications like Google Professional ML Engineer can be beneficial. Strong problem-solving, communication, and collaboration skills help you translate business needs into technical solutions and work effectively in cross-functional teams. These skills and qualities are essential for developing robust, scalable models that drive business value and innovation.

What are some common challenges faced by ml2-level machine learning engineers, and how can they be addressed?

ML2-level machine learning engineers often encounter challenges such as balancing research experimentation with production deadlines, ensuring model scalability, and collaborating effectively with cross-functional teams. Adapting to rapidly changing technologies and maintaining strong communication with data engineers, product managers, and business stakeholders is crucial. Proactively seeking feedback, leveraging mentorship programs, and participating in code reviews can help overcome these challenges while fostering professional growth.

What is the difference between Ml2 vs Data Analyst?

AspectMl2Data Analyst
Required CredentialsTypically requires a certification in machine learning or related field, sometimes a degree in computer science or data scienceUsually requires a bachelor's degree in statistics, mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentOften in tech companies, research labs, or AI-focused teams, working on machine learning models and algorithmsIn various industries such as finance, healthcare, marketing, analyzing data sets to generate insights
Employer & Industry UsageUsed in tech, AI, and software development companiesWidely used across multiple industries including finance, healthcare, retail, and consulting

While both Ml2 and Data Analyst roles involve working with data, Ml2 focuses more on developing machine learning models and algorithms, often requiring programming and technical skills. Data Analysts primarily interpret data to provide business insights, with a stronger emphasis on data visualization and reporting. The roles overlap in data handling but differ in technical complexity and focus areas.

More about Ml2 jobs

What job categories do people searching Ml2 jobs look for?

The top searched job categories for Ml2 jobs are:

Ml2 jobs near you
Infographic showing various Ml2 job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 93% Full Time, 2% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Product Development Process Engineer (Part-Time)

Hampton, VA • On-site

Psionic, LLC
11 - 50 employees
Learn more about Psionic, LLCexternal

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Product Development Process Engineer (PartTime)

Psionic, Inc. develops highprecision lidar sensors for autonomous systems. We value strong customer relationships, a diverse and dynamic work environment, and meaningful career growth for our employees. We are seeking a parttime Product Development Process Engineer to lead the development, integration, and rollout of CMMI Maturity Level 2 practices within our Engineering organization and align them with Psionic's established Stage Gate Product Development Process.

 
Role Overview

Psionic is implementing Capability Maturity Model Integration (CMMI) ML2 across its software development processes as part of a NASAsponsored contract. This role will drive the creation of a structured, compliant software qualification framework that closes existing process gaps, establishes an Independent Verification and Validation (IV&V) approach, and supports progression toward NASA Class A/B qualification standards.

A key responsibility is translating CMMI policies, procedures, and artifacts into Psionic's Stage Gate Development Process, ensuring both frameworks operate cohesively across engineering disciplines.

 
Primary Responsibilities

CMMI & Stage Gate Integration

  • Review Psionic's Stage Gate process and recommend modifications to ensure CMMI alignment.

  • Map CMMI documentation, workflows, and artifacts into the Stage Gate lifecycle.

  • Collaborate with Psionic's CMMI certification consultant to ensure compliance.

  • Conduct a comprehensive CMMI ML2 gap analysis across internal processes.

Process Development & Documentation

  • Develop Psionic's Organizational Software Development Process Procedure.

  • Create templates and plans including:

    • Software Development Plan

    • Software Assurance Plan

    • Verification & Validation Plan

    • Software Qualification Plan

  • Perform peer reviews of all developed documents.

  • Map and analyze the existing software development lifecycle to identify improvements.

  • Introduce foundational software engineering practices aligned with CMMI ML2.

Training & Team Enablement

  • Provide training on CMMI concepts, compliance expectations, and best practices.

  • Support weekly CMMI sprint meetings and maintain Confluence and Jira CMMI spaces.

CMMI Infrastructure & Automation

  • Develop an approach for AIdriven automation of CMMI workflows.

  • Create traceable, auditable documentation across software, mission assurance, V&V, and organizational processes.

  • Build an automated infrastructure roadmap to streamline implementation.

  • Design and test AI agents to automate process steps.

  • Train Psionic staff on the automated workflows.

  • Continuously refine internal processes to maintain alignment with CMMI principles.

  • Support preparation activities for the formal CMMI assessment.

 
Education & Qualifications

  • Must be eligible to work in the United States.

  • Must be able to pass a preemployment background check.

  • Bachelor's degree in Computer Engineering or Electrical Engineering (Master's preferred).

  • 10+ years of experience in engineering process development and implementation; CMMI and Stage Gate experience strongly preferred.

  • Strong interpersonal, verbal, and written communication skills.

  • Demonstrated ability to work independently and collaboratively.

Psionic, Inc. is an Equal Opportunity Employer. This position requires access to export-controlled technology or software source code and the position is subject to U.S. export control laws.

Psionic, Inc. is an affirmative action employer and is committed to creating and maintaining a workplace in which all employees have an opportunity to participate and contribute to the success of the business and are valued for their skills, experience, and unique perspectives.

Psionic, Inc. provides equal employment opportunities to all employees and applicants for employment, and expressly prohibits any form of unlawful harassment or discrimination based on race, color, religion, ancestry, national origin, gender, gender identification, sexual orientation, age, marital status, disability, genetic information or results of genetic testing, or service in the military.

This position requires access to export-controlled technology or software source code and is subject to U.S. Export Control Laws. This position requires eligibility to work in the United States and well as the ability to pass a pre-employment background check.

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