EngineerJobs.io - Jobs across all engineering disciplines — software, electrical, mechanical, civil and more.

Electrical Engineering Mechanical Engineering Civil Engineering

Latest Jobs

1mo ago

Motor Drive Engineer

The Judge Group Rolling Meadows, IL

Rolling Meadows, IL

1mo ago Closed

$65 - $97/hr Contract Electrical Engineering Bldc Circuit Design

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

The Judge Group invites experienced engineers to apply for a Motor Drive Engineer role in Rolling Meadows, Illinois. This onsite, long-term contract opportunity offers a competitive hourly rate of $65 to $97 and centers on designing, integrating, and testing advanced motor control systems for aerospace and defense applications. You will work alongside multidisciplinary teams to optimize motor drive performance, power electronics, and digital control while pursuing a potential conversion based on business needs.

What you will do

Design, develop, and deploy motor control systems for advanced aerospace and defense programs.
Assess and integrate three-phase BLDC motors, motor drives, and digital control solutions.
Create and analyze power electronics designs that support motor drive and motion control applications.
Develop and verify motor control algorithms using MATLAB, Simulink, and circuit simulation tools.
Model, simulate, and evaluate the performance of motor drive systems and their control architectures.
Assist with hardware integration, lab testing, debugging, and system verification activities.
Conduct trade studies and technical evaluations to balance performance, reliability, and cost.
Develop and validate embedded and digital controllers for motor drive applications.
Collaborate with systems, software, mechanical, and electrical engineering teams to deliver integrated solutions.
Evaluate system-level requirements and assess how motor drive performance affects the broader platform.
Support EMI/EMC compliance efforts and ensure designs meet customer and regulatory requirements.
Contribute to multi-axis servo control and stabilization system development where applicable.
Document designs, test plans, procedures, and engineering data throughout the lifecycle.
Assist with customer reviews, technical presentations, and design reviews.

Requirements

Bachelor of Science in Electrical Engineering or a closely related field.
Minimum of eight years of hands-on motor control, motor drive, or power electronics experience.
Experience selecting and controlling three-phase Brushless DC motors (BLDC).
Strong background in power electronics design and development.
Proficiency with MATLAB, Simulink, and circuit simulators such as SPICE or Saber.
Deep understanding of motor control, power conversion, and electromechanical integration.
Proven ability to collaborate effectively in a multidisciplinary, team-based engineering environment.
Strong analytical, troubleshooting, problem-solving, and communication skills.
Ability to adapt to changing priorities and support multiple engineering efforts simultaneously.
U.S. Citizenship is required.
Ability to obtain and maintain at least a Secret Security Clearance and any additional customer-required clearances prior to start.

Technologies

MATLAB, Simulink, SPICE, Saber
Code Composer Studio
Texas Instruments C2000 microcontrollers
Gallium Nitride (GaN) FET technology

Additional details

Position Title: Motor Drive Engineer
Location: Rolling Meadows, Illinois
Employment Type: Long-Term Contract with Conversion Potential
Schedule: Onsite

View full job page →

1mo ago

Sr. Optical Engineer

Malin Space Science Systems San Diego, CA

San Diego, CA

1mo ago Closed

$145k - $165k/yr Full time Senior Camera Systems Design

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Malin Space Science Systems is seeking a Sr. Optical Engineer to lead the design, assembly, and verification of optics for space camera systems. This onsite role in San Diego, CA focuses on visible, infrared, and UV optics, while overseeing optics subcontracts and calibration and metrology workflows to ensure mission requirements are met. The position offers a salary range of $145,000 - $165,000 per year.

Responsibilities

Specify optical system requirements to align with high level mission objectives.
Develop both conceptual and detailed flight designs for camera optics.
Manage glass procurement and sustain production lifecycles through to delivery.
Engineer for athermalization and stray light minimization.
Perform Structural-Thermal-Optical-Performance (STOP) analysis.
Develop calibration plans to verify mission requirements, including focus/MTF, flat field imaging, radiometry and spectral response, distortion and camera models, and boresight alignment.
Write performance specifications and statements of work for optical subcontracts.
Manage subcontractors responsible for optical processing, fabrication, and assembly.
Present findings and designs at design reviews.
Enter assembly, test, storage or development areas with required ESD training and ongoing annual refreshers prior to unescorted access.

Requirements

Bachelor of Science in Electrical Engineering, Mechanical Engineering or Physics; Masters or PhD preferred.
8-10 years minimum of relevant experience.
Extensive hands-on experience with ZEMAX optical design software.
Familiarity with optics assembly techniques for space-based optical systems.
Experience with radiation-hardened optical design.
Experience with collimation measurement techniques.
Experience with laser interferometric measurement of wavefront error.
Experience with radiometric calibration.
Knowledge of visible and infrared sensor physics and performance limitations.
Experience with boresight alignment and metrology.
Excellent written and verbal communication skills, with the ability to clearly explain technical issues and ideas to peers, management, and customer representatives.

Technologies

ZEMAX

Benefits

401(k)
Dental insurance
Flexible spending account
Health insurance
Life insurance
Paid time off
Parental leave
Relocation assistance
Retirement plan
Vision insurance

Physical Requirements

Ability to comprehend and communicate complex technical and engineering concepts.
Ability to remain in a seated position while operating a computer for extended periods.
Ability to work in a cleanroom environment, wearing outer garments such as smock/coveralls, shoe covers, mask, hood, and gloves.
Ability to move around in a lab space.
Capability to handle high stress levels associated with multiple competing priorities and deadlines.
High tolerance for ambiguity and shifting expectations.
Strong analytical and organizational skills with the ability to prioritize workload.

Disclaimer

The employee must be able to perform the essential functions of the position satisfactorily, and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship. The employer retains the right to change or assign other duties to this position.

View full job page →

1mo ago

Machine Learning Engineer II

Milwaukee Electric Tool Corporation Brookfield, WI

Brookfield, WI

1mo ago Closed

Full time Python AI Ai Ml

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

The Machine Learning Engineer II role focuses on designing, developing, and validating machine learning models for power tool solutions, collaborating with cross-functional teams to deploy ML features across Milwaukee products globally, and owning projects that require strong problem-solving, communication, and project-management skills. This onsite position is based in Brookfield, Wisconsin.

Responsibilities

Design, implement, and validate machine learning models tailored to power tool applications.
Collaborate with highly cross-functional teams to deliver solutions that enhance user outcomes.
Explore and evaluate new machine learning approaches for deployment within Milwaukee products worldwide, demonstrating strong problem-solving, critical thinking, and composure in a dynamic environment.
Communicate technical concepts effectively and exercise fundamental project management capabilities.
Exhibit proactive ownership of projects and tasks, with an understanding of their links to broader initiatives.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Completed coursework or specialization in Machine Learning and/or Data Science.
At least one year of hands-on experience applying machine learning principles and algorithms in contexts involving embedded systems, edge computing, signal processing, or related areas.
Proven experience applying fundamental machine learning algorithms in non-coursework settings, including unsupervised or supervised learning, classification/regression, dimensionality reduction, and model optimization.
Experience with machine learning and AI methods such as CNNs, transformers, or computer vision.
Proficiency in Python and debugging, with extensive use of libraries such as NumPy, pandas, scikit-learn, and Matplotlib.
Experience with at least one deep learning framework, such as PyTorch or TensorFlow.
Strong mathematical foundation in statistics, linear algebra, calculus, and optimization.
Experience using modern software development tools and version control systems.
Excellent problem-solving abilities, critical thinking, and capability to work under pressure in a dynamic environment.
Strong technical communication skills and fundamental project management abilities.
Demonstrated ownership of a project or tasks and understanding of their relationships to other initiatives.
Ability to travel up to 10 percent of the time, domestically and internationally.

Technologies

Python
NumPy
pandas
scikit-learn
Matplotlib
CNNs
transformers
computer vision
PyTorch
TensorFlow
C
C++

Benefits

Health, dental, and vision insurance
401(k) savings plan
Education assistance
On-site wellness, fitness center, food, and coffee service

Other Tools We Prefer You To Have

Master’s degree or PhD in Machine Learning or a related field is preferred.
Three or more years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing, or related fields; an advanced degree may count toward part of this experience.
Experience with time series modelling, including domains such as NLP, SLAM, forecasting, or audio/video processing.
A proven track record of developing, deploying, and implementing AI or ML solutions aligned with business objectives.
Proficiency in developing and debugging code in an embedded environment using C or C++.
Working knowledge of sensor technologies (e.g., IMU, thermistors, magnetic and optical sensors) and interfacing to microcontrollers.
Understanding of embedded systems architecture (hardware and software), including microcontroller design and operation.
Experience with diverse data collection methods and their application in relevant environments.
Experience developing and deploying machine learning algorithms to edge environments.
Proven ability to develop robust MLOps pipelines ensuring efficient deployment, monitoring, and scaling of ML models.

View full job page →

1mo ago

Machine Learning Engineer

Hive San Francisco, CA

San Francisco, CA

1mo ago Closed

$120k - $180k/yr Full time Python Artificial Intelligence Big Data

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

$120,000 - $180,000 per year, with stock options potentially offered as part of the overall package.

Benefits

Stock options may be offered

Responsibilities

Design and implement neural network architectures and code
Collect, clean, and refine training data
Train, validate, and fine tune models
Deploy models at scale with high throughput and uptime
Monitor production results and iteratively improve accuracy and speed
Collaborate closely with Backend and DevOps teams as well as internal data labeling services
Apply OWASP top 10 security practices to keep code secure
Stay current with industry best practices for data handling and governance relevant to the role
Adhere to information protection policies and data handling guidelines
Report actual or suspected security or policy violations to the appropriate authority

Requirements

Undergraduate or graduate degree in computer science or a related technical field, with significant coursework in mathematics or statistics
1–2 years of industry machine learning experience
Proven track record of training and deploying a deep learning model (image, NLP, video, or audio) to production with measurable gains over a baseline
Strong experience with a high level ML framework such as TensorFlow, Caffe, or Torch, and familiarity with others
Proficiency in Python, applied to the above ML frameworks
Ability to quickly code and prototype data pipelines using Python, Node, Bash, and Linux command line tools, especially with large datasets
Working knowledge of C++, Scala/Spark, SQL, Cassandra, Docker, or willingness to learn quickly
Up to date on the latest deep neural net research and architectures and how to implement them in your ML framework of choice
Excellent communication and teamwork skills
Strong collaborative mindset and a can do attitude

Technologies

TensorFlow
Caffe
Torch
Python
Node
Bash
Linux command line tools
C++
Scala
Spark
SQL
Cassandra
Docker

Who we are

We are a group of ambitious individuals passionate about building a revolutionary AI company. At Hive you will encounter a steep learning curve and the opportunity to contribute to one of the fastest growing AI startups in San Francisco, with work that directly influences the company’s development. The base salary is in the range noted above, and compensation will reflect a candidate’s qualifications, skills, experience, and location; stock options may be offered in addition to base pay.

View full job page →

1mo ago

Machine Learning Engineer II

Tinder Los Angeles, CA

Los Angeles, CA

1mo ago Closed

$145k - $165k/yr Full time Ai Ml Artificial Intelligence Big Data

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Tinder offers a hybrid position in Los Angeles, CA with a salary range of $145,000 to $165,000 per year. This Machine Learning Engineer II role centers on building production ML systems that enhance product experience and drive measurable business impact. As an individual contributor, you will focus on modeling and algorithmic innovation, translating product opportunities into ML solutions, running experiments, and deploying models to production. In addition to competitive compensation, Tinder provides a comprehensive benefits package and a culture that values development, wellbeing, and collaboration.

Responsibilities

Transform product and business challenges into well defined ML problems with clear success metrics
Build, train, evaluate, and refine production ML models
Collaborate with software engineers and ML infrastructure engineers to deploy models and improve reliability, scalability, and performance in production
Design offline evaluations and online experiments to measure model impact
Contribute to feature engineering, data preparation, training pipelines, and model monitoring
Write clean, maintainable, production ready code and participate in design and code reviews
Communicate technical findings, trade offs, and recommendations clearly to both technical and non technical partners

Requirements

BS or MS in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field
1+ year of industry experience in machine learning, software engineering, data science, or a related field
Strong foundation in computer science fundamentals, including data structures, algorithms, and software design
Experience building ML or AI related systems, or a solid understanding of how modern ML systems are developed and operated
Proficiency in Python and at least one additional language such as Java, Kotlin, Go, Scala, or similar
Solid understanding of machine learning fundamentals, including model training, evaluation, and experimentation
Strong communication skills and the ability to collaborate across functions
Self motivated, proactive, and comfortable owning well scoped problems

Technologies

Python, Java, Kotlin, Go, Scala
Spark, Flink
AWS, Kubernetes
TensorFlow Serving, TorchServe, Triton Inference Server, Ray Serve
Airflow

Benefits

Flexible vacation and 10 sick days
Volunteer time off with charitable donations matched up to $15,000 annually
Comprehensive health, vision, and dental coverage
100% 401(k) employer match up to 10% and an Employee Stock Purchase Plan (ESPP)
100% paid parental leave including for non-birthing parents and family forming benefits
Development support through MentorMatch, access to 6,000+ Udemy courses, and an annual $3,000 professional development stipend
Wellness benefits including mental health support via Modern Health, concierge medical membership, pet insurance, fitness subsidy, and commuter subsidy
Free Tinder Gold subscription

Nice to Have

Experience with recommendation systems or casual inference
Familiarity with big data or stream processing frameworks such as Spark or Flink
Familiarity with cloud platforms like AWS and container orchestration with Kubernetes
Experience with ML model serving frameworks such as TensorFlow Serving, TorchServe, Triton Inference Server, or Ray Serve
Knowledge of feature stores, ML data pipelines, and orchestration tools like Airflow
Understanding of MLOps practices including CI/CD for ML, model versioning, and automated evaluation
Exposure to observability and monitoring for ML systems
Experience with or exposure to LLM related use cases or applied generative AI projects

Where You'll Work

This is a hybrid role with in-office collaboration required three times per week in Palo Alto, California.

View full job page →

1mo ago

Machine Learning Engineer, Growth

Whatnot Los Angeles, CA 🇺🇸 Remote

Los Angeles, CA

1mo ago Closed

$190k - $280k/yr Full time Ai Ml Artificial Intelligence Data Pipeline

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Machine Learning Engineer on Whatnot's Buyer Growth team, building and owning ML models for onboarding and user targeting to accelerate buyer growth and improve first-time conversions.

Responsibilities

Lead the design, development, and productionization of ML models that power user acquisition, activation, and retention, including ranking models, targeting systems, and uplift modeling.
Own the full ML lifecycle: build data pipelines, feature engineering, model training, deployment, and online experimentation; establish feedback loops from postbacks, conversions, and downstream revenue signals.
Identify high-impact opportunities to unlock growth with ML, collaborating with product, engineering, data, and marketing stakeholders.
Drive technical excellence and establish ML best practices across the Buyer Growth team.

Requirements

5+ years of industry experience building and deploying ML systems at scale.
Proven success leading end-to-end ML projects that delivered measurable business outcomes.
Deep expertise in personalization, ranking, or user modeling; strong intuition about consumer behavior in apps.
Advanced proficiency in Python, SQL, and common ML frameworks (PyTorch, TensorFlow, XGBoost).
Strong communication and leadership skills with the ability to influence roadmap and align cross-functional teams.

Technologies

Python
SQL
PyTorch
TensorFlow
XGBoost

Details

Location: Los Angeles, CA (remote)
Salary: USD 190,000 - 280,000 per year
Experience: 5+ years

Benefits

Flexible Time off Policy and Company-wide Holidays (including spring and winter breaks)
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement; 401k with Traditional and Roth accounts in the US (employer match up to 4%) and Pension plans internationally
Monthly allowance to dogfood the app
Parental Leave: 16 weeks paid, plus one month gradual return to work; leave allowances align with local requirements

View full job page →

1mo ago

Machine Learning Engineer

Adobe San Jose, CA

San Jose, CA

1mo ago Closed

$126k - $234k/yr Full time Ai Ml Artificial Intelligence Big Data

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Machine Learning Engineer role in San Jose, CA onsite at Adobe, focused on scalable algorithms and large-scale streaming and data systems powering search, recommendations, and Gen AI across Adobe Cloud.

Responsibilities

Design and deploy scalable, efficient algorithms capable of handling large production data.
Build and manage large-scale streaming and data pipelines to support world-class search, recommendation, and Gen AI capabilities.
Collaborate with data scientists and AI models to bring them into production, scale them, and improve reliability and efficiency.
Coordinate with product management and engineering teams to define and deliver new products and features.

Requirements

BS or advanced degree in quantitative fields such as Computer Science, Data Science, AI/ML Engineering, or related discipline.
Strong analytical and quantitative problem-solving abilities.
Proficiency in programming languages, including Python and Java.
Solid understanding of distributed systems, microservices, and isolation concepts.
Fundamental knowledge of machine learning, deep learning, or data analytics concepts.
Excellent communication and collaboration skills, with a team-oriented mindset.

Technologies

Python
Java

Location

San Jose, California, on-site

Compensation

Annual base salary range: USD 125,600 - 234,150
California pay range: USD 161,700 - 234,150

AI Interview Guidelines

Interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward.

State-Specific Notices

California: Adobe will consider qualified applicants with arrest or conviction records in accordance with fair chance ordinances and state/local laws.
Colorado: Application window notice applies.
Massachusetts: It is unlawful to require or administer a lie detector test in Massachusetts employment; violations may incur penalties.

View full job page →

1mo ago

Junior Machine Learning Engineer

Washington, DC

1mo ago Closed

$100k - $150k/yr Full time Backend Developer APIs Database

EngineerJobs.io — Jobs across all engineering disciplines — software, electrical, mechanical, civil and more.

Latest Jobs

Get Job Alerts