Sr. ML Engineer Job at Robert Half (El Segundo or Thousand Oaks)

Sr. Staff ML Platform Engineer

Machine learning is the crucial enabler for every financial service that EarnIn ...

Location

United States , Mountain View

Salary:

360000.00 - 440000.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
8+ years of industry machine learning experience and excellent software engineering skills
Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI
Familiarity with data pipelines and workflow management tools
Strong communication and collaboration skills
Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering

Job Responsibility

Design, build, and maintain a robust ML platform and tooling ecosystem that supports the entire machine learning lifecycle, from experimentation to production
Lead and mentor a team of ML engineers, deeply understanding their workflows to streamline model training, deployment, and monitoring, while ensuring reproducibility and consistency of results
Drive scalability, reliability, and cost efficiency of the ML platform, balancing performance with ease of use for scientists and engineers
Evaluate and adopt emerging technologies to continually advance the organization’s machine learning capabilities and maintain a competitive edge
Champion operational excellence, setting a high bar for engineering quality, reliability, and automation
Act as a catalyst for innovation, spearheading step-change improvements that unlock new opportunities for growth and efficiency

What we offer

equity and benefits

Fulltime

Sr. Embedded Software Engineer

Location

Canada , Toronto or Ottawa

Salary:

Not provided

Advanced Technology Search Group

Expiration Date

Until further notice

Requirements

Bachelor’s in electrical engineering, Computer Engineering, or Computer Science
Experience with C/C++
Experience writing Python scripts
Ability to read and understand board schematics and device datasheets
Ability to debug embedded software using Oscilloscopes and Logic Analysers
Experience with SCM tools (GIT or SVN)
Strong analytical and problem-solving abilities
Strong communication skills
Ability to work in a multi-site team environment

Job Responsibility

Design, develop, and optimize embedded software for silicon-based systems throughout the entire lifecycle, from conceptualization to deployment, ensuring seamless integration and optimal performance
Collaborate with cross-functional teams including hardware engineers, software developers, and machine learning experts to integrate ML models into embedded systems
Architect and implement software frameworks for efficient data processing, device control, and communication protocols
Conduct performance analysis, debugging, and optimization of embedded systems for reliability and efficiency
Develop software and firmware applications to interact with hardware and third-party interfaces
Contribute to the architecture and design of the overall AI solution
Develop debug and performance analysis tools for AI solution development
Play a role in all the phases of embedded AI software development, from requirement gathering, analysis, design, development, testing and final release to customers
Provide clear and timely communication related to status and other key aspects of the project to leadership team
Develop and maintain software documentation, including specifications, design documents, and test plans

Fulltime

Sr. Software Development Engineer

You will safeguard the quality of our AI and GenAI features by evaluating model ...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

4+ years of experience as a Software Development Engineer in AI/ML systems
Strong coding skills in Python (evaluation pipelines, data processing, metrics computation)
Hands-on experience with evaluation frameworks (Ragas or equivalent)
Knowledge of vector embeddings, similarity search, and RAG evaluation
Familiarity with evaluation metrics (precision, recall, F1, relevance, hallucination detection)
Understanding of LLM-as-a-judge evaluation approaches
Strong analytical and problem-solving skills
ability to combine human judgment with automated evaluations
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
Strong English written and verbal communication skills

Job Responsibility

Evaluation Frameworks – Develop reusable, automated evaluation pipelines using frameworks such as Raagas
integrate LLM-as-a-judge methods for scalable assessments
Golden Datasets – Build and maintain high-quality benchmark datasets in collaboration with subject matter experts
AI Output Validation – Evaluate results across text, documents, audio, and video, using both automated metrics and human-in-the-loop judgment
Metric Evaluation – Implement and track metrics such as precision, recall, F1 score, relevance scoring, and hallucination penalties
RAG & Embeddings – Design and evaluate retrieval-augmented generation (RAG) pipelines, vector embedding similarity, and semantic search quality
Error & Bias Analysis – Investigate recurring errors, biases, and inconsistencies in model outputs
propose solutions
Framework & Tooling Development – Build tools that enable large-scale model evaluation across hundreds of AI agents
Cross-Functional Collaboration – Partner with ML engineers, product managers, and QA peers to integrate evaluation frameworks into product pipelines

Fulltime

Sr. Principal Software Engineer – Search & Recommendation

We are seeking a Sr. Principal Search & Recommendation Engineer to lead the desi...

Location

United States , Seattle

Salary:

277391.00 - 342391.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

8+ years of experience building and scaling search or recommendation systems in production environments
Deep expertise in information retrieval, ranking algorithms, collaborative filtering, and/or neural search techniques
Strong programming skills in Python, Java, or Scala
experience with ML and IR frameworks such as Elasticsearch, FAISS, TensorFlow, or PyTorch
Familiarity with LLMs, embeddings, and modern vector search infrastructure
Proven leadership in cross-functional environments with a track record of mentoring and guiding technical teams
Strong grasp of MLOps practices and experience with cloud-native ML infrastructure (e.g., AWS, GCP)

Job Responsibility

Lead the end-to-end development of modern search and recommendation systems, from architecture to production deployment
Drive technical strategy and innovation in search relevance, personalized ranking, semantic search, and ML-powered retrieval/grounding
Collaborate with product, design, and data teams to define and deliver intelligent user experiences
Influence platform-level decisions on data pipelines, experimentation frameworks, and performance optimization
Mentor engineers, foster technical excellence, and promote a culture of learning and innovation

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Sr. Machine Learning Engineer, AdTech

As a member of our Data Science Engineering team, the Sr. Machine Learning Engin...

Location

United Kingdom

Salary:

Not provided

PulsePoint

Expiration Date

Until further notice

Requirements

5 years minimum of experience in machine learning/data science
Key Skills: Python, Algorithms, Optimisation, NLP, Data Mining, Statistical Analysis, Neural Networks, Generalised Linear Regression, Multiclass Classification, Java, R
Advanced knowledge of Python using standard DS packages (numpy/pandas/scikit, etc.)
Being able to optimize and speed-up code.
3+ years of RTB Auction or similar online technologies.
Algorithms and Data Structures (e.g., sorting, search tree, binary heap, trie
time & mem complexities of algorithms)
Probability and Statistics (e.g., hypothesis testing
Markov process and its stationary distributions, stochastic matrix and its properties
Bayesian inference)

Job Responsibility

Analyzing and optimizing real-time bidding strategies and online auction mechanics
Developing new or improving existing models of event predictions
New feature engineering for multiple machine learning models: User embeddings and clustering
fraud detection, etc.
Cross-device user identification, cookieless mechanisms development
Mining different data sources
Supporting existing codebase for data integration and production support for our core models.

Fulltime

New

Sr. Engineer, ML Platform

As the leading delivery platform in the region, we have a unique responsibility ...

Location

United Kingdom , London

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

Strong software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads
Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain)
Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools (Terraform, Helm)
Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed ML services (e.g., Vertex AI, SageMaker)
Proven experience with generative AI technologies: transformers, embeddings, prompt engineering strategies, fine-tuning vs. prompt-tuning, vector databases, and retrieval-augmented generation (RAG) systems
Experience designing and maintaining real-time inference pipelines, including integrations with feature stores, streaming data platforms (Kafka, Kinesis), and observability platforms
Familiarity with SQL and data warehouse modeling
capable of managing complex data queries, joins, aggregations, and transformations
Solid understanding of ML monitoring, including identifying model drift, decay, latency optimization, cost management, and scaling API-based genAI applications efficiently
Bachelor’s degree in Computer Science, Engineering, or a related field

Job Responsibility

Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling that support the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models
Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles
Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI
Collaborate closely with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases (e.g., Pinecone, Redis, Weaviate), and real-time retrieval-augmented generation (RAG) systems
Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices
Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation
Integrate infrastructure components such as real-time model serving frameworks (e.g., TensorFlow Serving, NVIDIA Triton, Seldon), Kubernetes orchestration, and cloud solutions (AWS/GCP) for robust production environments
Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques (batching, caching, quantization), fine-tuning, prompt management, and model updates at scale
Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap
Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement

Fulltime

New

Sr Machine Learning Engineer

We are seeking a Sr Machine Learning Engineer—Amgen’s most senior individual-con...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

3-5 years in AI/ML and enterprise software
Comprehensive command of machine-learning algorithms—regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel)
Proficiency in Python and Java
containerisation (Docker/K8s)
cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines)
Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives
Exceptional stakeholder management
can translate complex technical concepts into concise, outcome-oriented narratives

Job Responsibility

Engineer end-to-end ML pipelines—data ingestion, feature engineering, training, hyper-parameter optimisation, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks
Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency
Optimise performance and cost at scale—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantisation/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets
Instrument comprehensive observability—real-time metrics, distributed tracing, drift & bias detection and user-behaviour analytics—enabling rapid diagnosis and continuous improvement of live models and applications
Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams
Contribute reusable platform components—feature stores, model registries, experiment-tracking libraries—and evangelise best practices that raise engineering velocity across squads
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness
Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs

Sr. Applied Research Scientist

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of relevant ML engineering or research experience
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills

Job Responsibility

Lead efforts in pretraining the next generation of Runway’s multimodal models

Fulltime

Sr. ML Engineer

Robert Half

Location:
United States , El Segundo or Thousand Oaks

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 06, 2026

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Location:
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Job Posted:
January 06, 2026