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Night Shift Meta Machine Learning Jobs in Texas (NOW HIRING)

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$335K - $400K/yr

Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$335K - $400K/yr

Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

Meta

ASIC Engineer, Design Verification

Austin, TX

$114K/yr

Experience with Design verification of Data-center applications like Video, Artificial Intelligence/Machine Learning (AI/ML) and Networking designs About Meta: Meta builds technologies that help ...

Meta

ASIC Engineer, Architecture

Austin, TX

$178K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

reliance

Machine Operator - Night Shift

Fort Worth, TX · On-site

$16.25 - $19.50/hr

Job Summary Delta Steel is currently hiring Machine Operators to support our processing operations. This position offers a day schedule (Monday-Friday, 5:00 PM - 5:00 AM) and includes a night shift ...

Meta

ASIC Engineer, Physical Design

Austin, TX

$178K/yr

Experience with physical implementation of machine learning accelerators, network-on-chip architectures, or high-bandwidth memory interfaces About Meta: Meta builds technologies that help people ...

CRH

Machine Operator (Night Shift)

Denton, TX · On-site

$16 - $19/hr

Machine Operator (Night Shift) Architectural Products Group Denton, Texas, United States Job ID: 526279 Oldcastle, a CRH company, is reinventing what's possible in building solutions. We are the ...

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All JobsMeta Machine Learning JobsNight Shift Meta Machine Learning JobsNight Shift Meta Machine Learning Jobs in Texas

Night Shift Meta Machine Learning information

Is ML a high paying job?

Machine learning roles, including those working night shifts in meta machine learning, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Compensation varies based on experience, location, and company, but generally, machine learning jobs are among the higher-paying positions in tech fields.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, and AI Software Developer. These jobs typically require knowledge of programming languages like Python, experience with machine learning frameworks, and understanding of data analysis and algorithms.

Is AI replacing machine learning jobs?

AI is transforming machine learning roles by automating certain tasks, but it also creates new opportunities for professionals skilled in developing, maintaining, and improving AI systems. Machine learning jobs remain in demand, especially for those with expertise in data analysis, model development, and programming tools like Python and TensorFlow. Continuous learning and adapting to new technologies are essential for staying relevant in this evolving field.

What is the salary of machine learning engineer at Meta?

The average salary for a machine learning engineer at Meta is approximately $130,000 to $180,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in deep learning or large-scale data processing may earn higher compensation, often including bonuses and stock options.

What is the difference between Night Shift Meta Machine Learning vs Data Scientist?

AspectNight Shift Meta Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; experience with machine learning toolsBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis and modeling
Work EnvironmentNight shift, often in tech or AI companies, focusing on model deployment and monitoringDay shift, in various industries, focusing on data analysis, modeling, and reporting
Employer & Industry UsageTech firms, AI startups, companies with 24/7 operationsFinance, healthcare, tech, and research organizations

While both roles involve working with data and machine learning, Night Shift Meta Machine Learning specialists focus on deploying and maintaining models during night hours, often in tech environments. Data Scientists typically work during regular hours, analyzing data, building models, and providing insights across various industries.

What are popular job titles related to Night Shift Meta Machine Learning jobs in Texas? For Night Shift Meta Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Night Shift Meta Machine Learning jobs in Texas look for? The top searched job categories for Night Shift Meta Machine Learning jobs in Texas are:
Night Shift Meta Machine Learning jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Rokt

Austin, TX • On-site, Remote

$335K - $400K/yr

Full-time

Posted 5 days ago

Job description

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.

We are hiring Senior Machine Learning Engineers

We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

Target total compensation ranges from $335k - $400k, comprised of a fixed annual salary of $210k - $260k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

Requirements

  • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions for smart bidding, lookalike modelling, forecasting, and related ranking and prediction tasks.
  • Build and productionise machine learning models, including model-specific data pipelines, feature engineering within the team's feature store, and integration with the team's orchestration and serving infrastructure.
  • Evaluate model performance through offline metrics, and monitor deployed models for drift, leading retraining or rollback decisions as needed.
  • Contribute to and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects such as load testing, unit testing, and integration testing.
  • Keep track of emerging tech and trends, research the state-of-the-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments
  • Willingness to work 4 day in-office, 1 day remote weekly schedule.

Benefits

  • PhD or Master's in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval (or equivalent experience)
  • Extensive knowledge in and experience with some of the following areas: Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate modelling or conversion rate modelling
  • 3+ years of industry experience building production-grade machine learning systems, spanning model training, tuning, deployment, serving, and monitoring
  • Experience with Kubeflow (or similar), TensorFlow, and a feature store in a production environment is a massive plus
  • Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN

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