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Machine Learning Manager Jobs in Rochester, IN (NOW HIRING)

DevOps

Warsaw, IN · On-site

$100 - $125/hr

This role requires combining cloud technologies and database management expertise, embracing the challenges of integrating AI and machine learning workflows on modern GPUs. Qualifications * Preferred ...

Demonstrate a progressive learning process of the corrugated die cutting process with full ... Ability to effectively manage time. * Demonstrate ability to organize information. * Operating ...

Demonstrate a progressive learning process of the corrugated die cutting process with full ... Ability to effectively manage time. * Demonstrate ability to organize information. * Operating ...

Data Analyst - Poland

Warsaw, IN · On-site

$80 - $100/hr

Basic knowledge of machine learning concepts and their business applications. * Proficiency in ... First interview with hiring managers or an HR call * Psychometric test * Final interview with top ...

Demonstratedpeopleleadership including talent development, coaching, and performance management. Preferred * Experience with Supply Chain AI, machine learning, predictive analytics, and intelligent ...

Demonstratedpeopleleadership including talent development, coaching, and performance management. Preferred * Experience with Supply Chain AI, machine learning, predictive analytics, and intelligent ...

Demonstratedpeopleleadership including talent development, coaching, and performance management. Preferred * Experience with AI, machine learning, predictive analytics, and intelligent automation use ...

Demonstratedpeopleleadership including talent development, coaching, and performance management. Preferred * Experience with AI, machine learning, predictive analytics, and intelligent automation use ...

Sales Associate, C&B

Knox, IN

$13.25 - $15.25/hr

... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns, tape machine, small hand tools, ladders, step stools, hand truck/dolly, baler, calculator, electronic ...

... machine downtime Lead mechanical staff in repairs or rebuild of equipment as needed to avoid ... learning and training opportunities, bonus potential, and a 401(k) plan with company contributions ...

... machine downtime Lead mechanical staff in repairs or rebuild of equipment as needed to avoid ... learning and training opportunities, bonus potential, and a 401(k) plan with company contributions ...

Direct and monitor activities of production personnel and manages resources employed in ... Demonstrate correct process, providing instruction, learning aids and resources as appropriate, and ...

Set up and manage tax-exempt customer plans, ensuring accuracy and compliance. * Ensure proper ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

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Showing results 1-20

Machine Learning Manager information

See Rochester, IN salary details

$47.4K

$76K

$109.7K

How much do machine learning manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning manager in Rochester, IN is $75,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $86,000.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

Senior Machine Learning Engineer

Warsaw, IN • On-site

$100 - $125/hr

Other

Posted 21 days ago


Key responsibilities

  • Implement cutting-edge machine learning algorithms for personalization in gaming and test their effectiveness.

  • Design, develop, and evaluate experiments and prototypes to assess new AI models and translate research findings into production code.

  • Monitor and analyze player data to identify opportunities for personalization and optimize existing algorithms.


Job description

Who are we?

Tripledot Studios is one of the largest independent mobile games companies in the world.

We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.

Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.

Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.

We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.

Our ambition is to be the most successful games company in the world, and we’re just getting started.

The role is working within our AI group

The group AI team is a central function that works both with other central groups like marketing and game solutions and the game studios which are part of Tripledot. Within the group AI team, you’ll be working with other AI/ ML Eng, Data engineers, analysts and product owners.

Role Overview

Within the various studios and other central teams, you will interact with data, engineering, and product teams. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features. Progression opportunities will be within the AI group or to studios in the group.

Key Responsibilities

  • Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data.
  • Designing experiments and prototypes to test the viability and efficiency of new AI models.
  • Translate research findings into real-world applications by creating algorithm prototypes in our codebase.
  • Convert prototypes into production level code that can be easily managed and deployed through the ML Lifecycle.
  • Design, develop, and evaluate A/B tests to measure the effectiveness of personalisation algorithms and optimise player experience.
  • Continuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms.
  • Document your work clearly and concisely, fostering knowledge sharing within the team.

What we’re looking for

  • A Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience.
  • Strong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods)
  • Experience in applying machine learning algorithms to solve real-world problems.
  • Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts.
  • A good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).
  • A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
  • Excellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams.
  • Experience with using generative AI copilots or agents in daily development work.
  • A passion for mobile gaming and a strong desire to create engaging player experiences and drive business results.

Bonus points if you also have:

  • Experience with more complex ML techniques (e.g. Reinforcement Learning).
  • Experience with A/B testing methodologies in an online gaming context.
  • Experience working in the games industry.

Working at Tripledot

  • 26 days paid holiday in addition to bank holidays to relax and refresh throughout the year
  • 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.
  • Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit.
  • Private Medical Cover with Luxmed: Have peace of mind with private medical cover, ensuring your and your family's health is in good hands.
  • Daily Free Lunch: When working in the office order free food from Pyszne.pl
  • Multisport Plus Card: Enjoy access to various sports facilities across Warsaw with the Multisport Plus Card.
  • Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
  • Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
  • Continuous Professional Development: Propel your career with continuous opportunities for professional development.
  • English & Polish Classes: Improve your language skills with access to English and Polish classes.

This organization operates in compliance with the Whistleblower Act, for more information or to report violations please email -----

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