As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.

Key responsibilities include:

• Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations
• Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions
• Implementing automated systems and processes focused on trading and operations
• Streamlining development and deployment processes

Technical qualifications include:

• 5+ years of development experience in Python
• Experience working in a Linux/Unix environment
• Experience working with PostgreSQL or other relational databases

Preferred skills and experience include:

• Understanding of NLP, supervised/non-supervised learning, and Generative AI models
• Experience operating and monitoring low-latency trading environments
• Familiarity with quantitative finance and electronic trading concepts
• Familiarity with financial data
• Broad understanding of equities, futures, FX, or other financial instruments
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#
• Experience with Apache/Confluent Kafka
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)
• Experience with containerization and orchestration technologies
• Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure
• Contributions to open-source projects

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

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This role directly supports portfolio management teams across Millennium, with operational excellence at the core. Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

Principal Responsibilities:

• Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.
• Work with portfolio managers and other internal customers to reduce operational risk through:
• Implementation of monitoring, reporting, and trade workflow solutions.
• Implementation of automated systems and processes focused on trading and operations.
• Streamlining development and deployment processes.
• Implementation of MCP servers focused on assisting rest of the Support Engineering team as well as proactively monitoring production environment.

Technical Qualification:

• 5+ years of development experience in Python.
• Experience working in a Linux / Unix environment.
• Experience working with PostgreSQL or other relational databases.
• Ability to understand and discuss requirements from portfolio managers.

Preferred Skills and Experience:

• Understanding of NLP, supervised/non-supervised learning and Generative AI models.
• Experience operating and monitoring low-latency trading environments.
• Familiarity with quantitative finance and electronic trading concepts.
• Familiarity with financial data.
• Broad understanding of equities, futures, FX, or other financial instruments.
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#.
• Experience with Apache / Confluent Kafka.
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).
• Experience with containerization and orchestration technologies.
• Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.
• Contributions to open-source projects.

The estimated base salary range for this position is $100,000 to $175,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximise impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

We are looking for engineers with a strong track record of building and shipping software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Responsibilities:

• Design and develop scalable software applications leveraging generative AI models.
• Rapidly prototype new features and iterate based on evaluation results.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Optimise software performance and ensure reliability of deployed applications.
• Contribute to the development of best practices for building and deploying generative AI applications.
• Lead the architecture and development of new products & features from 0 to 1.

Requirements:

• A bachelor degree in computer science, electrical engineering or equivalent experience.
• 8 years of experience in software development with one or more programming languages (e.g., Python) and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimising ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), with expertise in areas such as media generation or reinforcement learning.

Preferred Qualifications:

• Experience with generative AI models and applications.
• Contributions to open-source projects.
• Experience with front end development.
• Experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximise impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

A strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills are required.

We are looking for a TLM who thrives in fast-paced environments, and has the proven ability to deliver high-quality code & guide a team to success.

Responsibilities:

• Lead a team in the design and development of scalable software applications leveraging generative AI models.
• Guide the team in rapidly developing new features and iterating based on evaluation results.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Oversee the optimisation of software performance and ensure the reliability of deployed applications.
• Champion the development of best practices for building and deploying generative AI applications.
• Lead the architecture and development of new products & features from 0 to 1.
• Mentor and develop team members, fostering a collaborative and high-performing environment.
• Partner with PM team to qualify & size new project opportunities.

Minimum qualifications:

• A bachelor degree in computer science, electrical engineering or equivalent experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience in minimum of one ML field (eg. media generation, reinforcement learning, infrastructure etc.).
• 7+ years of experience leading technical projects and optimising ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.

Preferred qualifications:

• Experience with generative AI models and applications.
• Contributions to open-source projects.
• Experience with front-end development.
• Proven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
• Experience evaluating model performance, analysing results, and implementing improvements.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximise impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

We are looking for engineers with a strong track record of building and shipping software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

This role requires a strong software engineering foundation and a passion for building and iterating on software products, using state-of-the-art GenAI tools.

We are looking for engineers who thrive in fast-paced environments and have a proven ability to deliver high-quality code.

Experience in prototyping, building, and scaling software is essential.

We particularly value experience in early-stage or startup environments, where engineers take ownership and drive product development from the ground up.

Responsibilities:

• Design and develop scalable software applications leveraging generative AI models.

• Rapidly prototype new features and iterate based on evaluation results.

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Optimise software performance and ensure reliability of deployed applications.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Lead the architecture and development of new products & features from 0 to 1.

Minimum qualifications:

• A bachelor degree in computer science, electrical engineering or equivalent experience.

• 8 years of experience in software development with one or more programming languages (e.g., Python) and with data structures/algorithms.

• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

• 5 years of experience leading ML design and optimising ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), with expertise in areas such as media generation or reinforcement learning.

Preferred qualifications:

• Experience with generative AI models and applications.

• Contributions to open-source projects.

• Experience with front end development.

• Experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

XML job scraping automation by YubHub

This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams.

Responsibilities:

• Lead a team in the design and development of scalable software applications leveraging generative AI models.
• Guide the team in rapidly developing new features and iterating based on evaluation results.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Oversee the optimization of software performance and ensure the reliability of deployed applications.
• Champion the development of best practices for building and deploying generative AI applications.
• Lead the architecture and development of new products & features from 0 to 1.
• Mentor and develop team members, fostering a collaborative and high-performing environment.
• Partner with PM team to qualify & size new project opportunities.

Minimum qualifications:

• A bachelor degree in computer science, electrical engineering or equivalent experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience in minimum of one ML field (eg. media generation, reinforcement learning, infrastructure etc.).
• 7+ years of experience leading technical projects and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.

Preferred qualifications:

• Experience with generative AI models and applications.
• Contributions to open-source projects.
• Experience with front-end development.
• Proven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
• Experience evaluating model performance, analyzing results, and implementing improvements.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

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As a Software Engineer at Ford Motor Company, you will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs both on-prem and cloud native. You will work on a Balanced Product Team and collaborate with the Product Manager, Product Designer, and other Software Engineers to deliver analytic solutions.

Responsibilities

• Participate in and/or lead the development of requirements, features, user stories, use cases, and test cases.
• Author process and design documents.
• Work with the Business Customer, Product Owner, Architects, Product Designer, Software Engineers, and Security Controls Champion on solution design, development, and deployment.
• Generate metrics, perform user access authorization, perform password maintenance, and build deployment pipelines.
• Participate and/or lead incident, problem, change, and service request-related activities, including root cause analysis (RCA) and proactive problem management/defect prevention activities.

Qualifications

• 5+ years of experience in Software Engineering.
• Bachelor's degree in computer science, computer engineering, or a combination of education and equivalent experience.
• Design, develop, and deploy scalable and robust software solutions that integrate and leverage state-of-the-art Generative AI models (e.g., LLMs, Diffusion Models) into production systems and applications.
• Build and optimize the infrastructure, pipelines, and tools necessary for efficient training, fine-tuning, evaluation, and serving of Generative AI models, ensuring high performance, reliability, and cost-effectiveness.
• 1+ year of experience with developing for and deploying to cloud platforms (e.g., GCP, Azure).
• Implement and optimize cloud services and tools (e.g., Terraform, BigQuery, GCP).
• 2+ years of REST API or related development.
• 2+ years of experience in development using a combination of the following technologies:
• Languages: Java, JS, TS, Python
• Frontend frameworks: Angular, React
• Backend frameworks: Spring Boot, Node
• Proven experience understanding, practicing, and advocating for software engineering disciplines from Clean Code, Software Artmanship, and Lean, including:
• Paired/Mobbing programming
• Test-first/Test Driven Development (TDD)
• Evolutionary design
• Minimum Viable Product
• Willingness to collaborate daily with team members.
• A strong curiosity around how to best use technology to amaze and delight our customers.
• Using CI/CD tools and pipelines (e.g., Tekton, Jenkins, GIT Action, Cloud Build, etc.).

Benefits

• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care, and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.

Salary

This position is a salary grade 8 and ranges from $113,580 to $190,500.

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Microsoft AI are looking for a talented Member of Technical Staff, LLM Inference to join their MAI Superintelligence Team in New York. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI research and development. You'll work directly with leadership to shape the company's direction in the AI and machine learning markets.

About the Role

Our Inference team is responsible for building and maintaining the tools and systems that enable Microsoft AI researchers to run models easily and efficiently. Our work empowers researchers to run models in RL, synthetic data generation, evals, and more. We are joint stewards of one of the largest compute fleets in the world. The team is responsible for optimizing compute efficiency on our heterogeneous data centers as well as enabling cutting-edge research and production deployment. We are an applied research team that is embedded directly in Microsoft AI’s research org to work as closely as possible with researchers. We are vertically integrated, owning everything from kernels to architecture co-design to distributed systems to profiling and testing tools.

Accountabilities

• Work alongside researchers and engineers to implement frontier AI research ideas.
• Introduce new systems, tools, and techniques to improve model inference performance.
• Build tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues.
• Build tools and establish processes to enhance the team’s collective productivity.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.
• Python and Python ecosystem (eg. uv, pybind/nanobind, FastAPI) expertise.

Personal attributes:

• Results-oriented, have a bias toward action, and enjoy owning problems end-to-end.
• Embody our Culture and Values.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Microsoft AI are looking for a talented Member of Technical Staff, LLM Inference to join their team in Redmond. This role will involve working alongside researchers and engineers to implement frontier AI research ideas and introduce new systems, tools, and techniques to improve model inference performance.

About the Role

As a Member of Technical Staff, LLM Inference, you will be responsible for building and maintaining the tools and systems that enable Microsoft AI researchers to run models easily and efficiently. This will involve working on a variety of tasks, including building tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues. You will also be responsible for building tools and establishing processes to enhance the team's collective productivity.

Accountabilities

• Work alongside researchers and engineers to implement frontier AI research ideas
• Introduce new systems, tools, and techniques to improve model inference performance
• Build tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues
• Build tools and establish processes to enhance the team's collective productivity

The Candidate we're looking for

Experience:

• 6+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

Technical skills:

• Experience with generative AI
• Experience with distributed computing
• Python and Python ecosystem (eg. uv, pybind/nanobind, FastAPI) expertise

Personal attributes:

• Results-oriented, have a bias toward action, and enjoy owning problems end-to-end

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Member of Technical Staff, LLM Inference to join their MAI Superintelligence Team. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI research and development. You'll work directly with leadership to shape the company's direction in the AI and machine learning markets.

About the Role

Our Inference team is responsible for building and maintaining the tools and systems that enable Microsoft AI researchers to run models easily and efficiently. Our work empowers researchers to run models in RL, synthetic data generation, evals, and more. We are joint stewards of one of the largest compute fleets in the world. The team is responsible for optimizing compute efficiency on our heterogeneous data centers as well as enabling cutting-edge research and production deployment. We are an applied research team that is embedded directly in Microsoft AI’s research org to work as closely as possible with researchers. We are vertically integrated, owning everything from kernels to architecture co-design to distributed systems to profiling and testing tools.

Accountabilities

• Work alongside researchers and engineers to implement frontier AI research ideas.
• Introduce new systems, tools, and techniques to improve model inference performance.
• Build tools to help debug performance bottlenecks, numeric instabilities, and distributed systems issues.
• Build tools and establish processes to enhance the team’s collective productivity.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.
• Python and Python ecosystem (eg. uv, pybind/nanobind, FastAPI) expertise.

Personal attributes:

• Results-oriented, have a bias toward action, and enjoy owning problems end-to-end.
• Value clear communication, improving team processes, and being a supportive team player.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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