ZipRecruiter

Log In

1

Temporary Machine Learning Scientist Jobs in Texas

DISCO

Senior Machine Learning Scientist

Austin, TX

$97.60K - $124.40K/yr

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 ...

DISCO

Senior Machine Learning Scientist

Austin, TX · On-site

$97.60K - $124.40K/yr

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 ...

Roku

Senior Machine Learning Scientist, Advertising

Austin, TX · On-site

$90.70K - $123.90K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning ...

Synectics

Data Scientist, Machine Learning

Dallas, TX · On-site

Seeking a Data Scientist with a strong focus on Machine Learning to drive the development and deployment of models that directly impact customer experience and business performance. * This role is ...

next page

Showing results 1-20

People also search for

All JobsTemporary Machine Learning Scientist JobsTemporary Machine Learning Scientist Jobs in Texas

Temporary Machine Learning Scientist information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.

What types of projects do Temporary Machine Learning Scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are Temporary Machine Learning Scientists?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What is the difference between Temporary Machine Learning Scientist vs Data Scientist?

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What are the most commonly searched types of Machine Learning Scientist jobs in Texas? The most popular types of Machine Learning Scientist jobs in Texas are:
What are popular job titles related to Temporary Machine Learning Scientist jobs in Texas? For Temporary Machine Learning Scientist jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Scientist jobs in Texas look for? The top searched job categories for Temporary Machine Learning Scientist jobs in Texas are:
What cities in Texas are hiring for Temporary Machine Learning Scientist jobs? Cities in Texas with the most Temporary Machine Learning Scientist job openings:
Temporary Machine Learning Scientist jobs near you
Senior Machine Learning Scientist

Senior Machine Learning Scientist

DISCO

Austin, TX

$97.60K - $124.40K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 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

Apply