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Nights Machine Learning Trainer Jobs (NOW HIRING)

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

IMC

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

Motorola

Machine Learning Engineer

Los Angeles, CA

Contribute to the design of data pipelines and infrastructure for training, testing, and validating ... Stay current with the latest Machine Learning research for wireless and embedded systems. * Perform ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and evaluating next-generation clinical, protein and genome language models. You will join the Bioresilience ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

Collaborate with cross-functional teams-including data scientists, engineers, and architects-to build machine learning models, training tools, and simulation environments that support business ...

Codertal

Machine Learning Engineer

Union, NJ · Remote

You'll play a key role in designing, training, and deploying machine learning models that solve real‐world problems and deliver measurable business impact. You'll collaborate closely with data ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... training, evaluation, deployment, and monitoring. You will work both independently and ...

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Nights Machine Learning Trainer information

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$28K

$87.3K

$112.5K

How much do nights machine learning trainer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for nights machine learning trainer in the United States is $87,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Nights Machine Learning Trainer, and why are they important?

To thrive as a Nights Machine Learning Trainer, you need a strong background in machine learning principles, data analysis, and model evaluation, typically supported by a degree in computer science or a related field. Familiarity with Python, TensorFlow or PyTorch, and experience using ML training frameworks and data pipeline systems are essential. Excellent communication, adaptability to night-shift schedules, and problem-solving abilities are crucial soft skills for effective knowledge transfer and team collaboration. These skills ensure efficient model development, clear instruction during off-peak hours, and successful project outcomes in a dynamic work environment.

What are some typical challenges faced by a Nights Machine Learning Trainer and how can they be managed?

Nights Machine Learning Trainers often face challenges related to working outside standard business hours, such as limited real-time collaboration with daytime teams and adjusting to a nocturnal schedule. Managing these challenges usually involves clear communication practices, thorough handover documentation, and leveraging asynchronous tools to stay connected with colleagues. Additionally, maintaining a healthy work-life balance and prioritizing self-care are essential for sustained productivity on the night shift. Embracing these strategies can help trainers deliver effective machine learning instruction and support, even during less conventional hours.

What are Nights Machine Learning Trainers?

Nights Machine Learning Trainers are professionals who work overnight shifts to train and optimize machine learning models. Their role involves preparing datasets, setting up training processes, monitoring model performance, and making adjustments as needed. By working during nighttime hours, they ensure that machine learning systems can be developed and improved around the clock, often taking advantage of off-peak computing resources. This position is common in industries where continuous model development is critical, such as tech companies, research labs, and data-driven organizations.

What is the difference between Nights Machine Learning Trainer vs Nights Data Scientist?

AspectNights Machine Learning TrainerNights Data Scientist
Required CredentialsBachelor's in CS, ML certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentTraining sessions, workshops, online platformsData analysis, modeling, research
Employer & Industry UsageTech companies, training providersTech firms, finance, healthcare

While both roles involve working with machine learning, Nights Machine Learning Trainers focus on educating and training others in ML techniques, often in workshops or online courses. Nights Data Scientists analyze data, develop models, and derive insights. The trainer role emphasizes teaching skills, whereas the data scientist role emphasizes hands-on data analysis and model development.

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Nights Machine Learning Trainer jobs near you
Machine Learning Manager

Machine Learning Manager

Hive

Seattle, WA • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago

Job description

About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Machine Learning Manager
In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets. We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.
Responsibilities
  • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
  • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
  • Participate in products technical design and architecture
  • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production.
  • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
  • Implement and manage security protocols such as training, code review, and best practices
  • Own and manage the risk and security of your business function in coordination with the Security Team
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements
  • Undergraduate or graduate degree in computer science or similar technical field
  • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
  • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
  • 2+ years experience managing machine learning teams
  • You have an ability to understand and make well-reasoned tradeoffs in designing features
  • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
  • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
  • Have experience collaborating with product managers and labeling team in delivering model improvements

Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.
Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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