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Urgently Hiring Apple Machine Learning Engineer Jobs in Wisconsin

Voltmasters

WI · On-site

$73.95 - $108.08/hr

Als Machine Learning Engineer bouw jij de modellen die energie echt slimmer maken. Je krijgt ... Apple laptop met tweede scherm, en een recente iPhone of Android-smartphone. * Noise-cancelling ...

YUM

WI · On-site

$105.50 - $132.20/hr

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting‑edge machine learning models and solutions to enhance various aspects of our business operations ...

Fluency Digital, Inc.

WI · On-site

$110 - $160/hr

You are the engineer who prefers the hum of factory equipment to the silence of a cloud notebook, eager to bridge the gap between experimental models and rugged hardware. In this on-site Texas role ...

Allen Control Systems

WI · On-site

$140 - $180/hr

Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy ...

Serve Robotics

$225K - $260K/yr

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...

Devitechs

WI · On-site

$90 - $130/hr

Collaborate with cross‑functional teams including data scientists, engineers, and product managers to deliver AI‑driven solutions * Integrate machine learning models into production environments ...

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including ... developing reusable frameworks and standardized solutions to streamline model implementation

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Urgently Hiring Apple Machine Learning Engineer information

What does an Apple machine learning engineer do?

An Apple Machine Learning Engineer designs, builds, and deploys machine learning models and algorithms that enhance Apple’s products and services. They collaborate with cross-functional teams to develop innovative solutions, optimize existing machine learning systems, and ensure models run efficiently on Apple hardware and software platforms. Their work includes data analysis, model training, and performance tuning, often focusing on privacy, scalability, and user experience.

What are the key skills and qualifications needed to thrive as an Apple machine learning engineer?

To thrive as an Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, often supported by a relevant degree and experience with model development. Proficiency with Python, TensorFlow or PyTorch, and familiarity with macOS/iOS development tools like Core ML are typically required. Strong problem-solving, collaboration, and communication skills help engineers to innovate and work effectively across multidisciplinary teams. These competencies are crucial for driving impactful AI solutions that enhance Apple’s products and user experiences.

What are common collaboration practices for Apple machine learning engineers working on product teams?

Apple Machine Learning Engineers typically collaborate closely with cross-functional teams, including software engineers, product managers, and data scientists. Collaboration often involves regular meetings to align on project goals, integrating machine learning models into production systems, and jointly troubleshooting issues that arise during development. Engineers are encouraged to share findings and best practices, leveraging Apple's internal tools and documentation to ensure that models are robust, scalable, and meet Apple's privacy standards. The work environment emphasizes innovation, open communication, and a high standard of quality, which means collaboration is both structured and dynamic.

What is the difference between Urgently Hiring Apple Machine Learning Engineer vs Apple Data Scientist?

AspectApple Machine Learning EngineerApple Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, deploying AI solutions, coding in Python, TensorFlowAnalyzing data, creating reports, statistical modeling, data visualization
Employer & Industry UsageTech companies, AI/ML product teams, innovation labsTech companies, analytics teams, product development

While both roles involve working with data and algorithms at Apple, the Machine Learning Engineer focuses on building and deploying ML models, whereas the Data Scientist emphasizes analyzing data and deriving insights. The roles overlap but differ mainly in technical focus and daily tasks.

What cities in Wisconsin are hiring for Urgently Hiring Apple Machine Learning Engineer jobs?

Cities in Wisconsin with the most Urgently Hiring Apple Machine Learning Engineer job openings:

Urgently Hiring Apple Machine Learning Engineer jobs near you

Machine Learning Engineer

Voltmasters

WI • On-site

$73.95 - $108.08/hr

Other

Posted 4 days ago

Job description

Bij Voltmasters neemt ons Energy Management System (EMS) elke seconde beslissingen: wanneer een batterij laadt of ontlaadt, hoe we pieken afvlakken en wanneer we energie verhandelen. Achter die beslissingen zit AI. Als Machine Learning Engineer bouw jij de modellen die energie echt slimmer maken.

Je krijgt toegang tot een schat aan real-time data en de vrijheid om modellen van experiment tot productie te brengen, met directe impact op de energiefactuur van onze klanten.

Wat je zal doen
  • Je ontwikkelt en traint voorspellingsmodellen voor energieprijzen, verbruik en zonneproductie.
  • Je bouwt optimalisatie-algoritmes die batterijen slim aansturen, van arbitrage tot piekscheren.
  • Je brengt modellen naar productie en laat ze betrouwbaar draaien op real-time data.
  • Je evalueert, monitort en verbetert modellen continu.
  • Je werkt nauw samen met data engineers en backend om modellen naadloos te integreren.
Wat we verwachten
  • Je hebt ervaring met machine learning in Python (bv. PyTorch, scikit-learn).
  • Kennis van forecasting, time-series of wiskundige optimalisatie.
  • Ervaring met MLOps en modellen in productie brengen is een sterk pluspunt.
  • Je schrijft nette, geteste code en denkt in meetbare resultaten.
  • Interesse in energie of duurzaamheid is mooi meegenomen.
Wat we bieden

Bij Voltmasters geloven we dat sterke mensen het verschil maken. Daarom bieden we een omgeving waarin je kan groeien, meebouwen en leren.

  • Een voltijdse functie in een stimulerende omgeving.
  • Een competitief loonpakket met voordelen op maat (zoals internetvergoeding, maaltijd- en ecocheques).
  • Zorgverzekering.
  • Apple laptop met tweede scherm, en een recente iPhone of Android-smartphone.
  • Noise-cancelling headset om in je flow te blijven.
  • Alle software die je nodig hebt om goed te werken.
Persoonlijke ontwikkeling

Bij Voltmasters heerst een sterke mentaliteit om te blijven groeien. Stilstand is achteruitgang. We moedigen iedereen aan om voortdurend te leren, te experimenteren en kennis te delen.

  • Blijf bij: we voorzien wekelijks tijd om nieuwe technologieën te ontdekken of te experimenteren.
  • Opleidingsbudget: elk jaar krijg je een extra budget van €2.000 om te investeren in persoonlijke groei, voor boeken, opleidingen of conferenties.
  • Gezonde balans: we streven naar een goede work-lifebalance. Geen overuren, wel flexibiliteit en ruimte om op te laden.
  • Samen leren: we delen kennis via interne sessies, reviews en teamlunches.
  • Autonomie en vertrouwen: je krijgt de vrijheid om te leren en te groeien op jouw tempo, binnen een team dat elkaar versterkt.
Extras die snel vertrouwd zullen aanvoelen
  • Hybride werken: werk van thuis of vanuit onze kantoorruimte in Gistel.
  • Vrijheid en vertrouwen: weinig regels, veel verantwoordelijkheid.
  • Kleine teams, grote impact: directe invloed op productbeslissingen.
  • Vlakke structuur: geen managementlagen, enkel mensen die samenwerken.
  • Dagelijkse lunchmomenten en af en toe een afterwork.
  • Onbeperkt drinken en fruit op kantoor.

We zijn nog klein genoeg om flexibel te zijn, maar groot genoeg om impact te maken.

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