Programming

Programming Developer Jobs

10 jobs found

Today

Mid-Level Software Engineer

Leidos Englewood, CO

Englewood, CO

Today

$87k - $157k/yr Full time Backend Developer Angular API

Apply Now

Job Description

Leidos is seeking a Mid-Level Full Stack Software Engineer for the Chinook Program supporting an Intelligence Community customer, building GEOINT mission software in an Agile environment with secure, cloud-native solutions.

Responsibilities

Design, develop, test, and deploy software solutions to support the customer’s GEOINT mission
Participate in Agile sprints including daily stand-ups, sprint planning, and retrospectives
Build and maintain secure, containerized applications using technologies such as Docker, Kubernetes, and AWS
Develop RESTful APIs and user-facing interfaces using modern tools (e.g., React, Node.js, Flask or Sprint Boot)
Collaborate with mission users and product managers to refine requirements and improve user experience
Support DevSecOps pipelines and ensure code meets security and accreditation standards
Participate in code reviews and mentor junior developers as needed
Resolve tasks prioritized by the team product owner

Requirements

US citizenship required per contract
Bachelor’s degree in Computer Science, Software Engineering, or related field with 4-8 years of prior relevant experience; or Master’s with 2-6 years of prior relevant experience
Active Top Secret/SCI with the ability to successfully pass a Polygraph examination
Proficiency with Web: HTML, CSS, JSON, Ajax, and REST APIs
Proficiency with Object-oriented Programming: Python, Java, or JavaScript
Proficiency with Advanced Programming: Go
Proficiency with Front-end and Back-end frameworks: React, Angular, Vue.js, jQuery, Spring Boot, Django, Node.js, Flask, or Svelte
Proficiency with Cloud development: AWS, Azure, or similar cloud platforms
Proficiency with Relational Database: MySQL, PostgreSQL, or SQL Server
Proficiency with Operating System: Windows, Linux
Proficiency with Git (Version Control System)
Deep understanding of modern software design patterns and coding standards
Experience architecting, developing, and delivering complex software systems into production
Experience with CI/CD tools (GitLab CI, Jenkins) and Agile collaboration tools (JIRA, Confluence)
Familiarity with cloud environments such as AWS (C2S or GovCloud) and containerization technologies (Docker, Kubernetes)
Understanding of secure coding practices and government system accreditation processes (e.g., RMF, STIGs)
Strong self-motivated desire to learn new programming languages, tools, frameworks, and techniques

Preferred Qualifications

Frontend Web Development: UI/UX
NoSQL Database: OpenSearch/Elasticsearch
Multi-cloud architectures: AWS, IBM, Google, Azure, and Oracle
Specific AWS services: S3, SQS, SNS, EC2, CloudFormation, and RDS
Experience working on a customer contract or in the Intelligence Community (IC)
Familiarity with geospatial tools and standards: GeoServer, PostGIS, OGC APIs, ESRI ArcGIS
Exposure to Infrastructure-as-Code: Terraform, Ansible
Certifications such as AWS Certified Developer, Security+, SAFe Practitioner, or similar

Technologies

React, Node.js, Flask, Sprint Boot
Docker, Kubernetes, AWS
REST APIs
HTML, CSS, JSON, Ajax
Python, Java, JavaScript, Go
Angular, Vue.js, jQuery
Django, Svelte, Azure
MySQL, PostgreSQL, SQL Server
Windows, Linux
Git, GitLab CI, Jenkins
JIRA, Confluence
AWS (C2S or GovCloud)
RMF, STIGs

Benefits

competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

Location

Englewood, CO (onsite)

Compensation

USD 87,100 - 157,450 per yearly

Clearance Level Required

Active Top Secret/SCI with the ability to successfully pass a Polygraph examination

Posting Date

July 10, 2026

View full job page →

Today

Data Engineer, GCS Data Science

Google New York, NY

New York, NY

Today

$106k - $151k/yr Full time Backend Developer Analytics Artificial Intelligence

Apply Now

Job Description

On Google’s GCS Data Science team, this Data Engineer role focuses on turning complex business data into reliable pipelines and usable insights. You will help build scalable ETL workflows and reporting automation that support feature engineering and the development and scaling of ML and AI models.

Working onsite in New York, NY, you’ll operate in an agile environment alongside data scientists and stakeholders across the organization. The Data Science Engineering (DSet) subteam supports the broader GCS Data Science effort through new data pipelines, automation, observability, and reporting tooling for GCS initiatives.

What you’ll do

Build data pipelines, reports, best practices, and frameworks that enable analysts and other organizational stakeholders.
Apply feature engineering practices to meet data needs for ML and AI model development, including ETL pipeline development to support downstream scaling.
Ensure pipeline quality by adopting best practices for data integrity, test design, analysis, validation, and documentation.
Design and develop scalable, actionable solutions such as dashboards, automated collateral, and web applications that communicate insights.
Collaborate with stakeholders to identify feature and tooling gaps and innovate on behalf of customers.

What you’ll bring

Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
At least 1 year of experience designing data pipelines (ETL) and model data.
Experience analyzing data and creating reports, including database query (for example, SQL) and visualization tools (for example, Tableau and dashboards).
Experience with one or more general-purpose programming languages, such as Python, C/C++, or Java.

Technologies

ETL, ML/AI, SQL, Tableau, dashboards
Python, C/C++, Java

About the role

The GCS Data Science team addresses challenging problems within Google Customer Solutions (GCS) for the Global Business Organization (GBO). The team’s objective is to build efficient and scalable ML models that help small and midsize businesses grow using Google solutions.

Compensation and benefits

USD 106,000 - 151,000 per year
15% bonus target
equity
benefits
Health insurance
401k match

Preferred qualifications

Experience working in a data science environment supporting feature engineering and model automation needs.
Experience with big data tools, distributed computing, and non-relational databases.
Structured problem-solving skills, including the ability to break down ambiguous problems and propose impactful data modeling designs.
Strong interest in analyzing large and complex datasets and translating them into information that supports business decisions.

View full job page →

Today

Data Engineer, Product Analytics

Meta Remote 🌍 Remote

Remote

Today

$177k - $247k/yr Full time Analytics Data Analytics Data Architecture

Apply Now

Job Description

Meta is seeking a Data Engineer for Product Analytics to design scalable data architectures, robust data models, and insightful visualizations that guide product development across its apps. This remote role collaborates with software engineers, data scientists, and product managers to translate complex data into meaningful decisions, while upholding governance and privacy requirements. The position offers a salary range of USD 177,000 to 247,000 per year.

Responsibilities

Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs within systems.
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve them.
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.
Define and manage Service Level Agreements for all data sets in allocated areas of ownership.
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
Influence product and cross-functional teams to identify data opportunities to drive impact.
Mentor team members by giving/receiving actionable feedback.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
7+ years of experience where the primary responsibility involves working with data, such as roles like data analyst, data scientist, or data engineer.
7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others).

Technologies

SQL
Python
C++
C#
Scala
ETL

Benefits

Bonus
Equity
Benefits

View full job page →

1d ago

Machine Learning Engineer II

Milwaukee Electric Tool Corporation Brookfield, WI

Brookfield, WI

1d ago

Full time Python AI Ai Ml

Apply Now

Job Description

In Brookfield, Wisconsin, Milwaukee Electric Tool Corporation is expanding its machine learning capabilities to power intelligent features across its power tool lineup on a global scale. The Machine Learning Engineer II will design, validate, and refine models for power tool solutions, collaborate with cross-functional teams to deploy ML across Milwaukee products worldwide, and own projects with strong problem-solving, communication, and project-management skills.

Responsibilities

Create, advance, and validate machine learning models.
Collaborate with diverse cross-functional teams to deliver power tool solutions that impact users.
Explore and deploy new machine learning approaches within Milwaukee products worldwide, while demonstrating strong problem-solving, critical thinking, and the ability to thrive under pressure in a dynamic environment.
Maintain strong technical communication and foundational project management capabilities.
Show initiative and ownership for projects and tasks, understanding how they connect to broader initiatives.

Requirements

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 such as embedded systems, edge computing, or signal processing.
Proven experience applying core machine learning algorithms and techniques outside coursework, 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.
Proficient in developing and debugging code in Python.
Strong Python proficiency with extensive experience using libraries such as NumPy, pandas, scikit-learn, and Matplotlib.
Experience with at least one deep learning framework (e.g., PyTorch or Tensor Flow).
Solid foundation in statistics, linear algebra, calculus, and optimization.
Experience with modern software development workflows and version control tools.
Excellent problem-solving and critical-thinking abilities, with the ability to work well under pressure in a dynamic environment.
Strong technical communication skills and foundational project management abilities.
Proven ownership of projects or tasks and understanding of their relationships to other work.
Ability to travel up to 10 percent of the time (domestic and international).

Technologies

Python
NumPy
pandas
scikit-learn
Matplotlib
CNNS
transformers
computer vision
PyTorch
Tensor Flow
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 related field is preferred
At least three years of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field (an advanced degree may count toward some experience)
Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
Proven track record of developing, deploying and implementing AI or ML solutions connected to business objectives
Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
Working knowledge of various sensor technologies (e.g. IMU, thermistors, magnetic and optical) and interfacing to microcontrollers
Working knowledge of embedded systems architecture (HW & SW), microcontroller design and operation
Experience with different types of data collection methods, understanding their principles and demonstrating their value in relevant environments
Experience developing and deploying machine learning algorithms to edge environments
Demonstrated ability to develop robust MLOps pipelines and ensure efficient deployment, monitoring and scaling of ML models

View full job page →

1d ago

Machine Learning Engineer

Hive San Francisco, CA

San Francisco, CA

1d ago

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

Apply Now

Job Description

As a Machine Learning Engineer at Hive, you will prototype and productionize cutting edge neural network models, build scalable data pipelines, and collaborate with Backend and DevOps teams to deploy models in production.

Job Details

Location: San Francisco, CA (onsite)

Salary: USD 120,000 - 180,000 per year

Responsibilities

Design and implement neural network architectures and related code improvements
Source, curate, and refine training data
Train, tune, and optimize models for performance
Deploy models at scale with high throughput and availability
Evaluate live results to continuously improve accuracy and speed
Collaborate closely with Backend and DevOps teams and our internal data labeling services
Apply OWASP Top 10 security practices to protect code from vulnerabilities
Stay informed about industry best practices for data handling relevant to the role
Follow policies and procedures for safeguarding information assets
Report actual or suspected security or policy violations to the appropriate authority

Requirements

An undergraduate or graduate degree in computer science or a related technical field, with substantial coursework in mathematics or statistics
1 to 2 years of professional machine learning experience
Proven experience training and deploying a deep learning model (image, NLP, video, or audio) into production with measurable performance gains over a baseline
Strong experience with high level ML frameworks such as TensorFlow, Caffe, or Torch, with familiarity across the others
Proficient in Python and its use within the ML frameworks above
Able to rapidly prototype data pipelines using Python, Node, Bash, and Linux command-line tools, especially for large datasets containing millions of files
Working knowledge of C++, Scala/Spark, SQL, Cassandra, and Docker, with willingness to learn new technologies on the fly
Up to date with the latest deep neural net research and architectures, including theory, motivations, and practical implementation
Excellent communication and collaboration skills
Strong team player with a proactive, can-do attitude

Technologies

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

Benefits

Stock options may be offered

Who We Are

Hive is a forward looking AI startup based in San Francisco, built by a team of ambitious engineers focused on creating a revolutionary platform. The role presents a steep learning curve and the opportunity to contribute to a rapidly growing company with a tangible impact on product development.

View full job page →

1d ago

Machine Learning Engineer

Apple Sunnyvale, CA

Sunnyvale, CA

1d ago

$150k - $278k/yr Full time Ai Ml Artificial Intelligence Data Pipeline

Apply Now

Job Description

Apple's Sunnyvale campus is seeking a Machine Learning Engineer to advance ML models for computer vision and graphics within Face and Body/vision technologies. This role covers the full ML lifecycle to ship features on iOS and VisionOS, working closely with ML, data, and software engineers across teams.

Responsibilities

Design data collection schemes and processing steps to support ML workflows.
Develop models and run experiments as part of the ML cycle.
Validate solutions and perform QA in real-world scenarios.
Advance applied research to adapt state-of-the-art methods or implement new approaches for iOS and VisionOS features.
Collaborate with fellow ML engineers, data engineers, and software engineers across functions.

Requirements

3+ years of ML experience on computer vision or graphics applications.
Software engineering proficiency with Python.
Experience with PyTorch.
Bachelor's degree in computer vision, computer graphics, machine learning, or a related field.

Technologies

Python
PyTorch

Benefits

Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses, including tuition
Apple discretionary employee stock programs
Eligible for discretionary restricted stock unit awards
Ability to purchase Apple stock at a discount via Employee Stock Purchase Plan
Discretionary bonuses or commission payments
Relocation

Pay and Benefits

Base pay range: USD 150,400 - 277,600 per year. The final amount depends on skills, qualifications, experience, and location.

Preferred Qualifications

MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering, or related fields.
Self-motivated with proven ability to prioritize and deliver tasks on schedule.
Excellent communication and experience working with cross-functional teams.

View full job page →

1d ago

Machine Learning Engineer

BMW Mountain View, CA

Mountain View, CA

1d ago

$162k - $225k/yr Full time Ai Ml Artificial Intelligence Deep Learning

Apply Now

Job Description

Responsibilities

Identify and define innovative AI solutions that leverage machine learning, Generative AI, and Large Language Models.
Design, develop, and validate prototypes, PoCs, and new features to demonstrate AI feasibility and value.
Collaborate with internal teams and external partners to research, design, and evaluate AI solutions that enhance BMW's in-vehicle and mobility experiences.
Help secure core Intellectual Property Rights (IPR) relevant to future BMW products and services.
Share findings with the international research community to help shape BMW's global AI strategy and guide future research directions.
Scout emerging technologies and integrate advanced AI techniques into prototype systems and future architectures.
Support strategic decision making by delivering insights that clarify AI technologies and influence R&D and Centers of Competence (CoCs).

Requirements

Master’s degree in electronics, computer science, or a related field.
Strong programming background in AI/ML and application development, including Python, PyTorch or TensorFlow, LangChain, LangFlow, Kotlin, or equivalents.
Comfortable presenting and defending technical solutions to internal and external teams.
Excellent communication skills.
Strong problem solving ability and the capacity to break down complex problems into manageable steps.
Experience building and operating Cloud Applications (MLOps).
At least one year of relevant professional experience in tech or a related field.

Technologies

Python
PyTorch
TensorFlow
LangChain
LangFlow
Kotlin

Benefits

Medical, Dental, and Vision insurance
401(k) with Company match and Retirement Income Account
Employee vehicle program
Bonus eligibility
Paid Parental Leave
Generous PTO and Company paid holidays
Voluntary Benefits to fit your needs

What awaits you

Work on innovative AI driven solutions with technologies like Machine Learning, Generative AI, and Large Language Models.
Build and demonstrate prototypes, PoCs, and new functionalities to show AI value.
Partner with internal teams and external collaborators to research, design, and evaluate AI solutions that boost BMW's mobility and in-vehicle experiences.
Contribute to securing fundamental Intellectual Property Rights for future BMW products and services.
Share insights within the international research community to shape BMW’s global AI strategy and guide future research directions.
Identify emerging technologies and integrate advanced AI techniques into prototypes and future system architectures.
Support strategic decision making by providing insights that aid understanding of AI technologies and influence R&D and Centers of Competence.

What you should bring

Master’s degree in electronics, computer science, or related field.
Proficiency in programming languages and tools for AI, ML, and application development (e.g., Python, PyTorch, TensorFlow, LangChain, LangFlow, Kotlin, or equivalents).
Confident in presenting and defending technical solutions to internal and external teams.
Excellent communication skills.
Strong problem-solving abilities and the capacity to decompose complex problems into manageable steps.
Experience building and running Cloud Applications (MLOps).
At least one year of relevant professional experience in the tech industry or a related field.