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Internship Time Series Forecasting Jobs (NOW HIRING)

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... Next-Gen Time-Series Forecasting for Sleep: Push state of the art on multivariate forecasting to ...

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... Next-Gen Time-Series Forecasting for Sleep: Push state of the art on multivariate forecasting to ...

Develop and deploy time-series and econometric forecasting models that address critical customer, housing market, and business questions, without exposing proprietary product details. * Own the end ...

(USA) Data Scientist III

Goshen, AR · Remote

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

(USA) Senior, Data Scientist

Johnson, AR · On-site +1

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

(USA) Data Scientist III

Pea Ridge, AR · Remote

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

(USA) Senior, Data Scientist

Pea Ridge, AR · On-site +1

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

(USA) Data Scientist III

Noel, MO · Remote

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

(USA) Data Scientist III

Decatur, AR · Remote

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

(USA) Senior, Data Scientist

Centerton, AR · On-site +1

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

(USA) Senior, Data Scientist

Tontitown, AR · On-site +1

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

(USA) Senior, Data Scientist

Anderson, MO · On-site +1

$90K - $180K/yr

Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST , enabling robust forecasting across thousands of retail and e ...

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Internship Time Series Forecasting information

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How much do internship time series forecasting jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship time series forecasting in the United States is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.36 per hour, depending on experience, location, and employer.

What is the difference between Internship Time Series Forecasting vs Data Analyst?

AspectInternship Time Series ForecastingData Analyst
Required CredentialsBasic knowledge of statistics, programming, and time series conceptsBachelor's degree in data-related fields, some roles may require certifications
Work EnvironmentInternship setting, often in finance, retail, or tech companiesFull-time or part-time roles in various industries, including finance, healthcare, and marketing
Employer & Industry UsageUsed for entry-level training and project support in forecasting tasksUsed for data analysis, reporting, and decision-making across industries

Internship Time Series Forecasting focuses on entry-level, project-based work involving forecasting models, while Data Analysts perform broader data analysis tasks, including reporting and insights. Both roles require analytical skills but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Internship Time Series Forecasting, and why are they important?

To thrive as an Internship Time Series Forecasting, you need a solid background in statistics, data analysis, and programming, often supported by coursework or experience in mathematics, economics, or computer science. Familiarity with statistical software and programming languages such as Python or R, as well as tools like pandas, NumPy, and forecasting libraries (e.g., Prophet, ARIMA), is typically required. Strong problem-solving skills, attention to detail, and effective communication set candidates apart in this analytical role. These abilities are crucial for accurately analyzing data trends, communicating insights, and delivering reliable forecasts that support business decisions.

What is an Internship in Time Series Forecasting?

An Internship in Time Series Forecasting is a temporary position that allows students or recent graduates to gain hands-on experience analyzing and predicting data points over time. Interns typically work with historical datasets to identify trends, seasonality, and patterns, often using statistical or machine learning models. These internships provide valuable exposure to real-world forecasting challenges in industries such as finance, retail, or technology, and help interns develop both technical and analytical skills. Interns may also collaborate with data scientists and business analysts to support decision-making processes.

What are some typical projects or tasks an intern in time series forecasting might work on during their internship?

As an intern in time series forecasting, you can expect to work on projects involving the analysis and modeling of sequential data—such as sales figures, stock prices, or sensor readings. Common tasks include cleaning and visualizing time-based datasets, applying statistical and machine learning models (like ARIMA or LSTM), and evaluating model performance. Interns often collaborate with data scientists and analysts to interpret results, present findings, and help integrate forecasting models into business processes. These experiences provide valuable hands-on exposure to both the technical and collaborative aspects of data science.
More about Internship Time Series Forecasting jobs
What cities are hiring for Internship Time Series Forecasting jobs? Cities with the most Internship Time Series Forecasting job openings:
What are the most commonly searched types of Time Series Forecasting jobs? The most popular types of Time Series Forecasting jobs are:
What states have the most Internship Time Series Forecasting jobs? States with the most job openings for Internship Time Series Forecasting jobs include:
Infographic showing various Internship Time Series Forecasting job openings in the United States as of June 2026, with employment types broken down into 33% As Needed, and 67% Full Time. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $41,299 per year, or $19.9 per hour.
AI/ML Research Internship

AI/ML Research Internship

Eight Sleep

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 4 days ago


Job description

Join the Sleep Fitness Movement
At Eight Sleep, we're on a mission to fuel human potential through optimal sleep. As the world's first sleep fitness company, we're redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's "Best Inventions of the Year." We operate like a high-performance team: fast, focused, and motivated by impact. We don't just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger.
Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn't passive - it's a powerful tool for living better. If you're tired of the ordinary and driven to build at the edge of what's possible, this is your moment. Join us and lead the movement that's transforming how the world sleeps and what we're all capable of when we wake up.
High Standards. No Apologies.
We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world's top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant's mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn't a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week -not because we're told to, but because we're invested. We're here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you'll feel right at home. If you're looking for something easier - this isn't it.
The Role
Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in the sleep fitness and personal health space. You'll work closely with a cross-functional team to scope problems, build end-to-end prototypes, validate with data, and iterate toward something we can ship. Along the way, you'll receive hands-on mentorship, sharpen your technical toolkit, and present your results to leadership. Where appropriate, you may also develop your work into a publication.
We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If you're excited to learn fast, collaborate deeply, and deliver meaningful improvements for users, we'd love to work with you.
What You'll Help Build
Example topics include:
  • Multimodal Activity Understanding: Build and fine-tune a vision- and physiology- foundation model that detects daily activities (workouts, meals, naps) from wearables, Pod signals, and phone context to explain sleep trends.
  • Next-Gen Time-Series Forecasting for Sleep: Push state of the art on multivariate forecasting to predict sleep stages, heart rate, HRV, and recovery days ahead - robust to missing data and lifestyle shifts.
  • Lifestyle-to-Sleep Simulation ("Digital Twin"): Create a high-fidelity simulator that models how choices (caffeine, exercise timing, alcohol, travel) ripple into tonight's sleep and tomorrow's readiness.
  • Adaptive Pod Thermoregulation: Learn personalized cooling/heating policies that react to micro-events (restlessness, awakenings) in real time - balancing comfort, sleep continuity, and energy.
  • Privacy-Preserving Personalization: Train better models without centralizing raw data: federated fine-tuning with differential privacy for sleep staging, anomaly detection, and forecasting.

What You'll Need to Succeed
  • Minimum Qualifications
    • Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent. Doctoral degree paths are preferred for research focused internships.
  • Preferred Qualifications
    • It's helpful if you meet one or more of the following qualifications, but it isn't a requirement
    • Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java
    • Experience with ML libraries, such as TensorFlow, PyTorch, CoreFlow, and Sklearn
    • Practical knowledge related to building and adapting algorithms for machine learning, time series analysis, multimodal sensing, foundation model fine-tuning, reinforcement learning and related areas
    • Familiarity with crafting, prototyping, and evaluating interactive systems
    • Excellent mathematical skills in linear algebra and statistics
    • Ability to collaborate with others
    • Problem solving skills
    • Applied ML Engineering internships: Experience with integrating research prototypes into production applications. Proficiency conducting ethnographic or other situated studies of human interaction with or through interactive technologies. Experience crafting, conducting, analyzing, and interpreting experiments and investigations
    • Demonstrated expertise with proven publication or track record in at least one of the areas: machine learning, statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision theory
    • Research-Focused internships: Currently pursuing a doctoral degree. Research experience in Machine Learning and a demonstrable record of publishing academic research in peer-reviewed venues

Why join Eight Sleep?
Innovation in a culture of excellence
Join us in a workplace where innovation isn't just encouraged - it's a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness.
Immediate responsibility and accelerated career growth
From your first day, you'll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company's trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards.
Collaboration with exceptional talent
Work alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment.
Equitable compensation and continuous equity investment
We extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you - perfectly aligning your achievements with the broader triumphs of the company.
Your own Pod - and other great benefits
Every Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you'll get your own Pod, along with:
  • Full access to health, vision, and dental insurance for you and your dependents
  • Supplemental life insurance
  • Flexible PTO
  • Commuter benefits to ease your daily commute
  • Paid parental leave

At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.