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Mid Level Fashion Machine Learning Jobs (NOW HIRING)

Senior Machine Learning Scientist

Austin, TX · On-site

$97K - $124K/yr

Provides technical leadership and mentorship to junior and mid-level researchers. * Operational ... Contributes machine learning expertise to drive industry impact. * Strategic Planning and ...

This role is ideal for junior-to-mid-level engineers with strong Google Cloud Platform experience and a focus on building, maintaining, and supporting production-grade machine learning systems. The ...

This role is ideal for junior-to-mid-level engineers with strong Google Cloud Platform experience and a focus on building, maintaining, and supporting production-grade machine learning systems. The ...

Data Modeler Mid-Level 112-012

Chantilly, VA · On-site

$56 - $72.75/hr

Mid-level Data Modelers conduct data modeling activities in support of business stakeholders ... machine learning, etc.) * Supports developing models of NGAs architectures, requirements, and ...

This role is ideal for junior-to-mid-level engineers with strong Google Cloud Platform experience and a focus on building, maintaining, and supporting production-grade machine learning systems. The ...

Description As a result of program growth, the Electronic Warfare Division is looking for a mid-level Machine Learning Engineer to support remote sensing programs in Beavercreek, OH. As a Machine ...

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... This role is intentionally scoped for a mid-level engineer: someone with enough experience to work ...

As a result of program growth, the Electronic Warfare Division is looking for a mid-level Machine Learning Engineer to support remote sensing programs in Beavercreek, OH. As a Machine Learning ...

As a result of program growth, the Electronic Warfare Division is looking for a mid-level Machine Learning Engineer to support remote sensing programs in Beavercreek, OH. As a Machine Learning ...

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Mid Level Fashion Machine Learning information

What is the difference between Mid Level Fashion Machine Learning vs Data Scientist?

AspectMid Level Fashion Machine LearningData Scientist
CredentialsBachelor's in Computer Science, Data Science, or related field; experience with machine learning frameworksBachelor's or higher in Data Science, Statistics, or related; often includes certifications in data analysis
Work EnvironmentFashion industry, retail companies, e-commerce platformsVarious industries including finance, healthcare, tech, and retail
Employer UsageDevelops models for trend prediction, inventory management, and personalization in fashionBuilds models for insights, predictions, and data-driven decision making across sectors

While both roles involve machine learning skills, Mid Level Fashion Machine Learning specialists focus on applying these techniques specifically within the fashion industry, whereas Data Scientists work across multiple sectors with broader data analysis responsibilities.

What are the key skills and qualifications needed to thrive as a Mid Level Fashion Machine Learning professional, and why are they important?

To thrive as a Mid Level Fashion Machine Learning professional, you need a solid background in data science, machine learning algorithms, and statistics, often supported by a degree in computer science or a related field. Experience with Python, TensorFlow or PyTorch, and familiarity with fashion-specific datasets and tools are typically required. Strong problem-solving skills, creativity, and communication abilities help translate technical insights into actionable strategies for fashion brands. These competencies enable effective development of models that predict trends, personalize recommendations, and drive innovation in the fast-paced fashion industry.

What are Mid Level Fashion Machine Learning professionals?

Mid Level Fashion Machine Learning professionals are data scientists or machine learning engineers who specialize in applying AI and machine learning techniques to the fashion industry. They typically have a few years of experience and work on projects like trend forecasting, image recognition for apparel, recommendation systems, and inventory optimization. Their responsibilities often bridge the gap between junior staff and senior leadership, involving both hands-on model development and collaboration with cross-functional teams. These roles require a solid understanding of machine learning algorithms, programming skills, and some domain expertise in fashion. As technology transforms the industry, these professionals play a key role in driving innovation and efficiency.

What jobs make $3,000 a month without a degree?

Mid-level fashion machine learning roles typically require specialized skills and often a degree, but entry-level positions in retail, customer service, or freelance fashion consulting can sometimes earn around $3,000 monthly without a degree. Other options include roles like sales associate, stylist, or social media manager in the fashion industry, which may rely more on experience and skills than formal education.

What are common collaborative projects that a mid-level fashion machine learning specialist works on within a design or retail team?

As a mid-level fashion machine learning specialist, you’ll frequently collaborate with designers, merchandisers, and data analysts to develop predictive models for trend forecasting, inventory optimization, or personalized recommendation systems. These projects often require translating creative or business objectives into technical solutions, such as building image recognition tools for cataloging products or analyzing customer purchase patterns. You’ll participate in cross-functional meetings, present findings, and iterate on models based on feedback, making strong communication and teamwork skills essential for success.
Infographic showing various Mid Level Fashion Machine Learning job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, and 13% Nights. Highlights an 100% In-person job distribution.
Senior Machine Learning Scientist

Senior Machine Learning Scientist

DISCO

Austin, TX • On-site

$97K - $124K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Your Impact
The Senior Machine Learning Research Scientist is a key contributor to DISCO's machine learning and AI research initiatives, leading the development of advanced algorithms and methodologies. They are a seasoned researcher with a track record of impactful contributions, strategic thinking, and effective collaboration. They play a pivotal role in shaping the direction of our machine learning research efforts.
What You'll Do
  • Research Leadership and Innovation: Leads and contributes to impactful machine learning research projects. Drives innovation in the development of advanced algorithms and methodologies. Provides technical leadership and mentorship to junior and mid-level researchers.
  • Operational Excellence and Program Management: Optimizes research processes, workflows, and resource allocation.Manages research programs, overseeing multiple projects and teams. Ensures the successful execution of complex research initiatives.
  • Collaboration and Industry Impact: Collaborates effectively with cross-functional teams and external partners. Engages with industry stakeholders to address real-world challenges. Contributes machine learning expertise to drive industry impact.
  • Strategic Planning and Contribution to Research Community: Contributes to the strategic planning of the organization's research initiatives. Actively participates in the broader research community, including conference involvement. Fosters global collaborations and partnerships to enhance research outcomes.
  • Mentorship and Team Development: Mentors and provides guidance to junior and mid-level researchers. Actively contributes to the professional development of research teams. Fosters a collaborative and innovative team culture.
Who You Are
  • 6 to 8+ years of relevant experience in machine learning research.
  • Master's, PhD or equivalent research experience in the areas of Computer Science, Machine Learning, Statistics or a related discipline
  • Proven track record of impactful research projects and leadership.
  • Proven experience in leading or significantly contributing to complex and large-scale research projects.
  • Demonstrated ability to oversee project timelines, manage resources effectively, and ensure successful research outcomes.
  • Expertise in strategic planning and execution of an organization's overarching machine learning research agenda.
  • Contribution to the development and implementation of long-term research strategies.
  • Extensive experience in mentoring and providing guidance to junior and mid-level researchers.
  • Leadership in managing and leading research teams, fostering a culture of knowledge-sharing and innovation.
  • Continued innovation in the development of novel algorithms, methodologies, or applications.
  • Track record of contributing groundbreaking ideas to the field of machine learning.
  • Substantial experience in applying machine learning research to real-world industry problems.
  • A deep understanding of the practical implications and challenges of deploying machine learning models in real-world scenarios.
Even Better If You Have...
  • Experience in operational leadership, optimizing research processes.
  • Exposure to program management at a project or team level.

Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future. DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers.
Perks of DISCO
  • Open, inclusive, and fun environment
  • Benefits, including medical, dental and vision insurance, as well as 401(k)
  • Competitive salary plus RSUs
  • Flexible PTO
  • Opportunity to be a part of a company that is revolutionizing the legal industry
  • Growth opportunities throughout the company

About DISCO
DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters.
At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.
Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us!
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.