Mid-level Machine Learning Engineer Job at Astrion (Huntsville)

Mid-Level Data Engineer

In this role, you will construct data analytical infrastructure, data engineerin...

Location

United States , Huntsville

Salary:

Not provided

Astrion

Expiration Date

Until further notice

Requirements

Significant experience as a Data Engineer or advanced analytical role
Experience in data engineering and/or software development
Expertise with Python, GIT, YAML, Docker, and SQL
Knowledge of CI/CD, DevSecOps, and Agile methodologies
Experience developing back-end systems and services
Understanding of software design and system integration
Active Secret security clearance with ability to obtain TS/SCI with CI polygraph

Job Responsibility

Build and maintain data pipelines, ETL processes, and storage systems
Develop services and extend infrastructure to enable machine learning workflows
Integrate software components into functional data systems
Write clean, testable, maintainable code in Python and other languages
Implement CI/CD pipelines and DevSecOps best practices
Create technical documentation for software systems
Collaborate across teams to share knowledge and leading practices

What we offer

Competitive salaries
Continuing education assistance
Professional development
Multiple healthcare benefits package options
401K with employer matching
Competitive time off policy along with a federally recognized holiday schedule

Fulltime

Senior Software Engineer, Machine Learning

Senior Machine Learning Engineer at Arrive, you will serve as a key technical le...

Location

United States , Chicago

Salary:

171000.00 - 213000.00 USD / Year

Arrive Logistics

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience
5+ years of experience with Python, object oriented programming and building highly scalable backend services
3+ years of experience with relational databases
2+ years in a lead or senior-level capacity
2+ years of experience designing maintainable and scalable systems
Proven expertise in system design with a focus on distributed systems and event-driven architectures
Experience developing cloud-native dockerized applications in Kubernetes
Experience working with online experimentation and platforms like Statsig
Understanding of both traditional machine learning and deep neural networks
Strong communication skills with the ability to articulate, diagram and document complex engineering concepts

Job Responsibility

Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch
Lead sprints, conduct rigorous code reviews, and set the “gold standard” for engineering practices across the organization
Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth
Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring
Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability
Demonstrate a deep sense of ownership by developing a thorough understanding of a domain
Proactively propose solutions to gaps or risks in process, technology, software design and architecture
Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices
Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity

What we offer

Medical, dental, vision, life, and disability coverage
Matching 401(k) program
Employee Resource Groups
Office wide engagement activities, team events, happy hours
Casual dress code
CTA and L train stops walking distance from the office
Bike storage inside of the building
Access to LifeStart gym in office building
Free counseling sessions through Employee Assistance Program
Referral Program

Fulltime

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at Arrive, you will serve as a key technic...

Location

United States , Austin

Salary:

Not provided

Arrive Logistics

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience
5+ years of experience with ML ops, model serving and optimization
5+ years of experience with Python, object oriented programming and building highly scalable backend services
Expertise in frameworks like Sklearn, Pandas, Numpy
3+ years of experience with relational databases
2+ years in a lead or senior-level capacity
2+ years of experience designing maintainable and scalable systems
Proven expertise in system design with a focus on distributed systems and event-driven architectures
Experience developing cloud-native dockerized applications in Kubernetes
Experience working with online experimentation and platforms like Statsig

Job Responsibility

Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch
Lead sprints, conduct rigorous code reviews, and set the “gold standard” for ML engineering practices across the organization
Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth
Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives
Own systems throughout the software development lifecycle, from design to development, deployment and monitoring
Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability
Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers
Develop a thorough understanding of a domain and explain the behavior of and contribute to code bases that may be outside your domain
Proactively propose solutions to gaps or risks in process, technology, software design and architecture
Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices

What we offer

Comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage
Matching 401(k) program
Employee Resource Groups
Office wide engagement activities, team events, happy hours and more
Casual dress code
Convenient location close to the airport and downtown
Free on site parking
Fully stocked coffee bar, Broker’s Brew
Onsite gym
Free counseling sessions through Employee Assistance Program

Fulltime

Senior Machine Learning Engineer, Personalization and Recommendations

As a Senior Machine Learning Engineer on the Personalization & Recommendations t...

Location

United States , San Francisco

Salary:

183360.00 - 248000.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

5+ years of experience in applied machine learning or ML-heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems
Demonstrated impact improving key metrics such as CTR, retention, or engagement through recommender or search systems in production
Strong hands-on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices — including model registries, feature stores, monitoring, and drift detection
Deep understanding of retrieval and ranking architectures, such as Two-Tower models, deep cross networks, Transformers, or MMoE, and the ability to apply them to real-world problems
Experience with large-scale embedding models and vector search, including FAISS, ScaNN, or similar systems
Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test outcomes to drive product decisions
Clear, effective communication, collaborating well with product managers, data scientists, engineers, and cross-functional partners
A growth and mentorship mindset, helping elevate team quality in modeling, experimentation, and reliability
Commitment to responsible and inclusive personalization, ensuring our systems respect learner privacy, fairness, and diverse goals

Job Responsibility

Design and implement personalization models across candidate retrieval, ranking, and post-ranking layers, leveraging user embeddings, contextual signals and content features
Develop scalable retrieval and serving systems using architectures such as Two-Tower models, deep ranking networks, and ANN-based vector search for real-time personalization
Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training–serving consistency, observability, and robust monitoring
Partner with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experiment designs
Advance evaluation methodologies, contributing to offline metric design (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact
Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost in production environments
Stay informed on industry and research trends, evaluating opportunities to meaningfully apply them within Quizlet’s ecosystem
Mentor junior and mid-level engineers, supporting technical growth, experimentation rigor, and responsible ML practices
Champion collaboration, inclusion, curiosity, and data-driven problem solving, contributing to a healthy and productive team culture

What we offer

20 vacation days
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
Employer-sponsored 401k plan with company match
Access to LinkedIn Learning and other resources to support professional growth
Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice

Fulltime

Principal Machine Learning Scientist

As a Principal Machine Learning Scientist, you will be the technical anchor for ...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field
8+ years of industry experience developing and deploying large-scale ML models in a production environment, with a proven track record of shipping systems at the scale of millions of active users
Deep theoretical and practical knowledge in the following areas: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi-objective optimization
Sequential & Temporal Modeling: Hands-on experience building sequential recommendation systems that capture real-time user session dynamics and long-term historical preferences
Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning
Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP)

Job Responsibility

Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical
Translate high-level business goals into concrete ML architectures and scalable production systems
Design, prototype, and scale next-generation recommendation and ranking models
Solve complex, non-linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi-objective frameworks
Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines (e.g., multi-stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real-time
Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously
Act as the primary technical authority for ML initiatives within the Trips vertical
Mentor and coach senior and mid-level ML scientists
Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
'Work your way' with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team
Flexible schedule
Donation matching
Tuition assistance
Lifestyle benefit
Travel perks
Employee assistance program
Health benefits
Generous referral scheme

Fulltime

Senior Machine Learning Scientist (Experiences)

About Tripadvisor The Tripadvisor Group connects people to experiences worth sha...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field
5+ years of industry experience developing, validating, and deploying large-scale ML models in production environments
Strong practical and theoretical foundation in machine learning techniques, feature engineering, and deep learning paradigms
Proven ability to tweak, hybridize, and adapt existing state-of-the-art architectures to solve non-linear business problems
Experience with multi-task learning (MTL), ranking, Content AI stacks, Agentic AI etc is highly desirable
Mastery of Python and deep learning frameworks (such as PyTorch, PyTorch Lightning, or TensorFlow) alongside familiarity with data versioning and experiment tracking tools

Job Responsibility

Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions that don't exist 'off-the-shelf,' breaking down massive research goals into deliverable, iterative milestones
Evaluate the global research landscape to conduct cost-benefit analyses on new architectures, balancing model complexity against inference speed, memory usage, and execution costs (such as token consumption). Optimize models for production using techniques like quantization and distillation
Tailor Golden Datasets and leaderboards with minimal supervision, and implement rigorous validation automation (such as backtesting and slice-based evaluation) to prevent data leakage, over-fitting, and production regressions
Collaborate closely with Engineering Leads to ensure compute/GPU infrastructure supports model requirements. Clearly define model failure modes, edge cases, and confidence thresholds—to enable SWE partners to build robust fallback systems
Diagnose complex algorithmic bugs and implement automated checks for 'Silent Failures' (e.g., concept drift or production feature distribution shifts). Lead team-level post-mortems and resolve blocking corrective actions
Formally mentor mid-level and associate ML scientists, reviewing their experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
'Work your way' with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team
Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work
Donation matching. Give back? Give more! We match qualifying charitable donations annually
Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs
Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you
Travel perks. We believe that travel is employee development, so we provide discounts and more
Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges
Health benefits. We offer great coverage and competitive premiums
Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates

Fulltime

Staff Software Developer, Search & Distributed Systems

If you are looking for a career at a dynamic company with a people-first mindset...

Location

Canada , Toronto

Salary:

147000.00 - 220000.00 CAD / Year

ACV Auctions

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience, with at least 3+ years operating at a Senior or Staff level focusing on distributed systems and high-throughput platforms
Deep, authoritative knowledge of Elasticsearch internals. You have managed large-scale clusters and deeply understand mapping, analysis, query optimization, cluster state management, and split-brain mitigation
Proficiency in the systems upstream and downstream of Search. You have hands-on experience with Kubernetes (EKS/GKE), API Gateway/BFF architectures, and event streams (Kafka)
A proven track record of implementing fault-tolerant patterns (retries, rate limiting, circuit breaking, dead letter queues) in microservice architectures
Expert-level ability to instrument systems and diagnose complex performance issues using modern observability stacks (Datadog, Prometheus, Grafana, OpenTelemetry)
Strong communication skills with a proven ability to influence cross-functional teams, build consensus around architectural decisions (the Knoster model!), and mentor mid-level and senior engineers

Job Responsibility

Architect for Scale: Design, configure, and scale our Elasticsearch clusters. You will define our global strategies for shard routing, Index Lifecycle Management (ILM), heap tuning, and data tiering to support massive auction throughput
Master the Failure Modes: Anticipate and engineer away points of failure. You will design circuit breakers, implement backpressure mechanisms, and tune asymmetric timeouts to prevent retry storms between our BFFs, K8s services, and the Search layer
Expert Troubleshooting & IR: Act as the ultimate technical escalation point for complex, cross-system performance degradation. You will dive deep into JVM metrics, Garbage Collection pauses, K8s network bottlenecks, and slow logs to uncover and remediate root causes
Holistic System Ownership: Manage the entire data lifecycle. You will optimize the ingestion pipelines syncing our event datastreams driven by producers and consumers (Kafka) to Elasticsearch, ensuring eventual consistency and data integrity at scale
Drive Engineering Excellence: Draft authoritative architectural Blueprints, SOPs, and Runbooks. You will elevate the surrounding engineering culture by coaching teams on distributed systems design, observability best practices, and incident management
Modernize & Innovate: Scan the horizon for emerging technologies. You will help evaluate and integrate next-generation search capabilities (e.g., Vector Search, RAG architectures) to support our broader AI and machine learning initiatives

What we offer

Company Sponsored (paid) Healthcare
Dental
Vision
Life/AD&D
Short-Term and Long-Term Disability
Comprehensive additional optional benefits such Critical Illness and Supplemental Life/AD&D
Generous Parental Leave Top-Up Pay and Vacation Programs
Employee Stock Purchase Program with additional opportunities to earn stock in the company
Retirement planning through the Company's RRSP

Fulltime

Python Application Developer, AVP

We are seeking a Python Application Developer to join our Technology team and ta...

Location

Canada , Mississauga

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5+ years of experience in software application development, including systems analysis, design, and end-to-end project delivery
Proficiency in Python, with practical experience applying it to build and maintain software applications in a professional environment
Experience with Angular for building dynamic, client-facing web applications
Hands-on use of AI-assisted coding tools such as Devin, GitHub Copilot, or similar platforms to accelerate development and prototyping
Ability to rapidly prototype and iterate on solutions using AI-powered development and presentation tooling
Exposure to machine learning concepts or AI/ML workflows in an applied engineering context
Demonstrated ability to manage and deliver technology projects successfully, balancing scope, timelines, and stakeholder expectations
Familiarity with consulting and project management methodologies, with the ability to apply structured approaches to complex technical challenges
Able to work independently with a high degree of autonomy, making sound decisions with limited day-to-day supervision
Comfortable working under pressure, adapting quickly to shifting priorities, deadlines, or changing requirements

Job Responsibility

Design and build new application systems and enhancements to existing platforms, ensuring solutions meet defined business requirements and quality standards
Lead all phases of the software development lifecycle — from feasibility and planning through design, construction, testing, and production deployment
Analyze complex technical and business problems, evaluate system processes against industry standards, and deliver well-reasoned engineering solutions
Develop and integrate security measures into application design, validating system functionality and integrity through post-implementation analysis
Collaborate with business users, clients, and cross-functional technology teams to recommend and implement advanced programming solutions that address real operational needs
Define and uphold engineering standards and best practices across the development lifecycle, ensuring consistent and repeatable processes
Coach and guide junior and mid-level engineers, sharing technical expertise to raise the quality and capability of the broader team
Apply sound judgement when assessing technical risk and business impact, ensuring solutions align with compliance requirements and safeguard the firm's integrity
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users

Fulltime

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Mid-level Machine Learning Engineer

Job Description

Job Responsibility

Requirements

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