Ml Pipelines

Ml Pipelines Developer Jobs

5 jobs found

28d ago

Machine Learning Engineer, Motion Planning & Prediction

Avride Austin, TX

Austin, TX

28d ago

Full time Ai Ml Artificial Intelligence Big Data

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Job Description

Avride is seeking a Machine Learning Engineer to join its autonomous vehicle team in Austin, TX on site, focusing on motion planning and prediction. The role entails building end-to-end ML models, developing data pipelines, and enabling real-time inference on embedded hardware, while applying cutting-edge ML research.

Responsibilities

Develop and operationalize advanced machine learning models for behavioral prediction and motion planning
Build scalable data pipelines to process, clean, and label large-scale vehicle sensor and simulation datasets
Leverage architectures such as transformers to capture temporal interactions among traffic agents
Define and own model performance metrics and create evaluation frameworks aligned with on-road safety and performance
Collaborate with software engineers to integrate models and optimize real-time inference on embedded vehicle hardware
Maintain awareness of the latest ML research, including imitation learning and reinforcement learning, and apply novel techniques to systems

Requirements

Proficient in Python with hands-on experience in modern deep learning frameworks (PyTorch, TensorFlow, or JAX)
Solid understanding of ML fundamentals, including neural network architectures, training methodologies, and evaluation techniques
Experience across the full ML lifecycle, from data exploration and prototyping to deployment and monitoring
C++ proficiency for writing high-performance model inference code

Technologies

Python
PyTorch
TensorFlow
JAX
C++
MLflow
Kubeflow
Weights & Biases
Spark
Ray

Nice to have

Strong track record in ML competitions (for example Kaggle) or contributions to major open-source ML projects
Experience applying ML to robotics problems, such as behavioral prediction, motion planning, or computer vision
Familiarity with MLOps tools and platforms (MLflow, Kubeflow, Weights & Biases)
Experience with large-scale distributed data processing and training frameworks (Spark, Ray)
Publications in top-tier ML or robotics conferences (NeurIPS, ICML, CVPR, ICLR, CoRL, RSS)

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1mo ago

Machine Learning Engineer

Robert Half Los Angeles, CA

Los Angeles, CA

1mo ago Closed

$200k - $260k/yr Full time Ai Ml Artificial Intelligence Azure Databricks

This position is no longer accepting applications (closed Jul 13, 2026).

Job Description

Robert Half is seeking a Machine Learning Engineer in Los Angeles, CA on site, with a salary range of USD 200,000 - 260,000 per year.

Responsibilities

Architect and sustain scalable ML infrastructure on Databricks, covering experiment tracking with MLflow, a central model registry, and serving endpoints.
Guide the ML Ops platform development and automated pipelines to deploy, monitor, and manage models in production.
Implement robust model versioning, systematic retraining, and artifact management using Databricks Unity Catalog for ML governance.
Design and operate the Databricks Feature Store to ensure consistent feature engineering across training and inference stages.
Architect Retrieval-Augmented Generation (RAG) systems for document Q&A to enable business teams to query fund documents, investor letters, and market research.
Deploy and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search across enterprise documents.
Lead LLM fine-tuning and customization using Claude or open-source models with CIM proprietary data while upholding privacy and compliance.
Develop and optimize document processing pipelines including PDF parsing, chunking approaches, and embedding generation for RAG applications.
Apply prompt engineering best practices and establish LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy.
Establish guardrails for GenAI applications, including hallucination detection, output validation, and source attribution.
Automate end-to-end ML workflows from training to deployment using Databricks Workflows and Asset Bundles.
Set up robust CI/CD pipelines for both traditional ML models and GenAI applications using GitHub Actions, Azure DevOps, or equivalent tools.
Automate complex data and model workflows with orchestration tools such as Airflow, Prefect, or Databricks Workflows.

Technologies

Databricks platform stack including MLflow, Unity Catalog, Feature Store, and Vector Search
Pinecone for vector-based retrieval
Claude and open-source LLM options
CI/CD tooling: GitHub Actions, Azure DevOps
Orchestration and workflows: Airflow, Prefect, Databricks Workflows
Asset Bundles for packaging ML assets
Python and TensorFlow

Benefits

Medical insurance
Vision insurance
Dental insurance
Life insurance
Disability insurance
401(k) plan
Free online training

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1mo ago

ML Software Developer II

SCIENCE & TECHNOLOGY CORP Aberdeen, MD

Aberdeen, MD

1mo ago Closed

$85k - $110k/yr Full time Python Data Analysis Data Processing

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

Join a government R&D team at Aberdeen Proving Ground to develop and apply state-of-the-art machine learning tools that optimize DoD chemical and biological detection systems. This onsite role focuses on Python development, mentoring junior engineers, and contributing to sensor and detector improvements used in military applications. Salary ranges from USD 85,000 to 110,000 per year, with a 401K plan offering up to 4% employer matching, comprehensive medical, dental, and vision coverage, paid time off, federal holidays, sick leave, and disability protection.

Responsibilities

Develop and apply advanced machine learning tools and algorithms to enhance DoD chemical and biological detection and identification systems.
Collaborate within a government science and technology R&D team focused on deploying and updating military sensors and detectors.
Take a lead role on select development efforts.
Create software applications in Python and apply ML techniques to improve detection and identification of chemical and biological materials.
Build, test, train, and maintain applications for developmental sensors and instrumentation.
Develop and use tools to import, process, and store instrument and sensor data files for use in ML workflows.
Lead certain development efforts and provide mentorship to junior developers.
Support field testing, train users, and assess system performance.
Stay current on relevant literature and industry news.
Assist with preparing reports, journal articles, and presentations.

Requirements

U.S. citizen eligible for a security clearance
5 to 9 years advanced proficiency with Python coding
4 years ML project experience including deep learning, NLP, and/or computer vision
Advanced proficiency with TensorFlow or related products
Proficiency in another object oriented programming language such as C++
Advanced proficiency with MySQL databases
Excellent oral and written communication skills in English
Demonstrated ability to learn new skills quickly, multitask, and meet deadlines

Technologies

Python
TensorFlow
MySQL
C++

Benefits

401K with up to 4% employer matching contribution
Paid Time Off
Federal holidays
Sick Leave
Comprehensive Medical, Dental, Vision Insurance
Short Term Disability
Long Term Disability

About Science and Technology Corporation (STC)

Science and Technology Corporation is a science and engineering research and services provider with proven expertise across research, development, test, and evaluation. Its work encompasses aerospace engineering, earth and atmospheric sciences, chemical and biological defense, military systems and technology, and software development.

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1mo ago

Software Engineer II

Annapurna Labs (U.S.) Inc. Austin, TX

Austin, TX

1mo ago Closed

$144k - $194k/yr Full time Backend Developer Ai Workflows Automation

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

This Software Engineer II role with Annapurna Labs (U.S.) Inc. is based onsite in Austin, TX and offers a salary range of USD 143,700 to 194,400 per year. The position focuses on releasing and automating the ML server lifecycle, building CI/CD automation, and collaborating with ML software and hardware teams using AWS technologies.

Responsibilities

Gain familiarity with the Machine Learning Acceleration (MLA) platforms and design and implement CI/CD pipelines and automation to enhance user experience and overall system quality.
Collaborate with Machine Learning Software and Hardware Teams to identify challenges and improve release efficiency, reliability, and operational quality.
Develop software that is maintainable, extensible, well documented, tested, and reusable.

Requirements

3+ years of professional software development experience (non-internship).
2+ years of design or architecture work on new or existing systems, with a focus on design patterns, reliability, and scaling.
Experience programming in at least one programming language.

Technologies

Java
Kotlin
AWS Step Functions
DynamoDB
Timestream
AWS Lambda
AWS CDK
AWS CloudFormation
EC2

Benefits

Health insurance including medical, dental, vision, prescription coverage, Basic Life and AD&D insurance, with optional supplemental life plans, EAP, mental health support, medical advice line, flexible spending accounts, and adoption or surrogacy reimbursement.
401(k) with company matching.
Paid time off.
Parental leave.
Sign-on payments.
Restricted stock units (RSUs).

Inclusive Team Culture

AWS emphasizes inclusion and diversity, with ten employee-led affinity groups spanning about 40,000 employees across more than 190 chapters worldwide. The organization offers a range of benefits and ongoing learning experiences, including Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Inclusion is reinforced through Amazon's Leadership Principles, guiding daily work and decision making.

Work/Life Balance

There is a strong emphasis on balanced living, focusing on a productive workflow rather than clocking heavy hours. The environment supports flexible working hours to help employees maintain harmony between professional responsibilities and personal life.

Mentorship & Career Growth

The team prioritizes onboarding and ongoing development, featuring a varied mix of experience levels and a culture of knowledge sharing. Projects are selected to foster skill growth, helping team members advance toward more complex responsibilities over time.

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1mo ago

Software Engineer, Perception Attributes Autolabeling Pipeline

Manpower Engineering Foster City, CA

Foster City, CA

1mo ago Closed

$75 - $83/hr Full time Python Automation Big Data

This position is no longer accepting applications (closed Jun 27, 2026).

Job Description

Onsite in Foster City, CA, this Software Engineer role focuses on the Perception Attributes Autolabeling Pipeline, delivering data pipeline engineering and reliable systems for autonomous vehicle perception. The position offers an hourly rate of USD 75 to 83 and requires a minimum of 3 years of backend or data pipeline experience.

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay
Opportunity to work on cutting edge autonomous vehicle perception systems
Collaborate with a talented team of ML engineers and system architects
Contribute to innovative solutions that impact real world transportation
Engage in a dynamic environment that values continuous learning and growth
Be part of a forward thinking organization committed to technological advancement

Technologies

Python
C++
PySpark
Gemini
OpenAI
Anthropic

Responsibilities

Build and operate the autolabeling pipeline to accelerate vehicle attribute classification tasks
Develop observability tools to monitor system performance, latency, and error modes
Run experiments and analyze outputs to optimize labeling workflows
Integrate the pipeline with existing systems, collaborating with data infrastructure teams
Document system architecture, create runbooks, and ensure smooth handoff at project completion

Requirements

3+ years of backend or data pipeline engineering experience
Proficiency in Python; familiarity with C++
Experience working with large datasets using PySpark or similar tools
Understanding of ML fundamentals including model inference, embeddings, and evaluation metrics
Experience integrating foundation models such as Gemini, OpenAI, Anthropic at production scale

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Ml Pipelines Developer Jobs

Machine Learning Engineer, Motion Planning & Prediction

Machine Learning Engineer

ML Software Developer II

Software Engineer II

Software Engineer, Perception Attributes Autolabeling Pipeline

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