WI · On-site
$80 - $100/hr
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 ...
WI · On-site
$80 - $100/hr
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 ...
WI · On-site
$100 - $125/hr
Software Machine Learning Engineer Meet the team Cisco Norway is a global leader in developing video conferencing technology - helping millions of people connect and collaborate worldwide. At our ...
WI · On-site
$100 - $125/hr
Software Machine Learning Engineer Meet the team Cisco Norway is a global leader in developing video conferencing technology - helping millions of people connect and collaborate worldwide. At our ...
WI · On-site
$125 - $150/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 ...
WI · On-site
$125 - $150/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 ...
WI · On-site
$150 - $200/hr
Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company ... Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical ...
WI · On-site
$150 - $200/hr
Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company ... Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical ...
Machine Learning Engineer
Madison, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Madison, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Kenosha, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Kenosha, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Racine, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Racine, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Green Bay, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Green Bay, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Menomonie, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Menomonie, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Milwaukee, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Milwaukee, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Whitewater, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Whitewater, WI · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
$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 ...
$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 ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no ...
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no ...
Machine Learning Engineer Two information
Are machine learning engineers still in demand?
Yes, machine learning engineers are in high demand across various industries due to the increasing adoption of AI and data-driven solutions. They are sought after for their skills in algorithms, programming, and tools like Python and TensorFlow, with job growth expected to continue as AI applications expand.
What are popular job titles related to Machine Learning Engineer Two jobs in Wisconsin?
For Machine Learning Engineer Two jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Two jobs in Wisconsin look for?
The top searched job categories for Machine Learning Engineer Two jobs in Wisconsin are:
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What cities in Wisconsin are hiring for Machine Learning Engineer Two jobs?
Cities in Wisconsin with the most Machine Learning Engineer Two job openings:
Machine Learning Engineer
WI • On-site
Voltmasters
$80 - $100/hr
Other
Posted 22 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.
- 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.
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.
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.
- 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.