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Machine Learning Assistant Jobs in Texas (NOW HIRING)

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

... the machine learning and computer vision expertise within the company. * Contribute to the hardening of the prototype turret into a military-grade system and assist in developing variants for ...

Pratt Industries

Assistant Machine Operator

Cedar Hill, TX · On-site

$14.50 - $17.25/hr

Will be responsible for assisted the Machine Operator maximize the utilization of equipment by ... Learning environment to learn as many job duties to assist with plant growth and personal and ...

Pratt Industries

Assistant Machine Operator

Cedar Hill, TX

$14.50 - $17.25/hr

Will be responsible for assisted the Machine Operator maximize the utilization of equipment by ... Learning environment to learn as many job duties to assist with plant growth and personal and ...

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What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

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

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.
What are the most commonly searched types of Machine Learning jobs in Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Machine Learning Assistant jobs in Texas? For Machine Learning Assistant jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Assistant jobs in Texas look for? The top searched job categories for Machine Learning Assistant jobs in Texas are:
What cities in Texas are hiring for Machine Learning Assistant jobs? Cities in Texas with the most Machine Learning Assistant job openings:
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Senior Machine Learning Engineer II

Senior Machine Learning Engineer II

CesiumAstro

Austin, TX • On-site

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago

Job description

Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State.
At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team.
We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is highly collaborative, working closely with product, backend, and systems engineering teams to design, integrate, and maintain robust ML applications that support CesiumAstro's mission.
JOB DUTIES AND RESPONSIBILITIES
  • Design, develop, and maintain deep learning pipelines for real-time data processing.
  • Evaluate and curate relevant datasets; establish model benchmarks to measure performance.
  • Improve observability and monitoring for deployed ML systems.
  • Develop, deploy, and maintain microservices that deliver ML capabilities to production systems.
  • Enhance tooling and orchestration for tuning, deployment, and scaling of ML pipelines.
  • Collaborate in research and development initiatives, contributing to new ML capabilities for aerospace and defense applications.
  • Document designs, workflows, and operational best practices to ensure maintainable and resilient ML systems.

JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS
  • Bachelor's or higher degree in Computer Science, Engineering, or related technical field.
  • 6+ years of professional experience developing production-ready ML systems in small to medium-sized organizations (additional experience required for larger organizations).
  • Proficiency in Python with demonstrated experience implementing ML algorithms in production environments.
  • Experience designing and maintaining APIs for ML services.
  • Hands-on experience deploying and managing ML workflows in Kubernetes environments.
  • Strong communication skills with the ability to clearly articulate complex technical ideas.
  • Ability to work effectively in a collaborative, Agile engineering team.

PREFERRED EXPERIENCE
  • Knowledge of microservice architectures and distributed data systems.
  • Familiarity with aerospace or defense applications of ML systems.
  • Track record of contributing to early-stage or rapidly scaling teams.

CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, and key skills. Full-time employment offers include company stock options and a generous benefits package including health, dental, vision, HSA, FSA, life, disability and retirement plans.
CesiumAstro is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
Please note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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